Coupling Matrix Synthesis Software Cracked

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The bandpass and bandstop filter synthesis wizard allows a fast synthesis of the coupling matrix for a bandpass or bandstop filter with generalized Chebyshev response and required specification (filter order, return loss level, defined pure-imaginary transmission or complex transmission zeros and filter topology). The resulting coupling matrix is an excellent starting point for a filter design. The Filter Wizard uses a unique technique for coupling matrix synthesis, which is capable to find the couplings for various non-standard, unique topologies including several load(source)-resonator and direct load-source couplings.

Advanced Synthesis Techniques for Microwave Filters Richard J Cameron [Keyword] Microwave [Abstract]With the advent of the ‘digital revolution’ that has made possible services such as the world wide web, satellite broadcasting and mobile and trunk telephony, the finite RF spectrum allocated for terrestrial and satellite telecommunication systems is becoming increasingly crowded. This has impacted significantly upon the performance required from the microwave equipment that comprises these systems. In the case of microwave filters, greater in-band linearity to avoid signal distortion and out-of-band isolation to suppress interference are routinely specified, which can only be satisfied by advanced filtering characteristics. This article presents the coupling matrix approach to the synthesis of prototype filter networks, enabling the realization of the hardware embodying the enhanced performance needed by today’s high capacity systems.

[Keywords] filter network synthesis; coupling matrix; microwave filters. 1 Introduction Until the early 1970s, nearly all filter synthesis techniques were based on the extraction of electrical elements—lumped capacitors and inductors, and transmission line lengths—from the polynomials that represented the filter’s electrical performance in mathematical terms. This was perfectly adequate for the technologies and applications that were available at the time. Many important contributions were made to the art of advanced filter transfer and reflection polynomial generation and to their conversion into electrical component values corresponding to the filter technologies that were available in those days [1]-[3]. In the early 1970s, the first satellite telecommunication systems were in operation, and demand for their services was growing enormously.

This meant that RF spectrum allocated to satellite communication systems had to be pushed to higher frequency bands in order to accommodate the increasing volumes of traffic. The technology available to implement components of these higher-frequency systems was also advancing; for example, better front-end low-noise amplifiers, high power transmit amplifiers, antenna systems, and passive channelizing equipment. Crowding of the available spectrum meant that the specifications for channel filters in terms of in-band linearity (group delay, insertion loss) and out-of-band selectivity (high close-to-band rejection; and for transmit filters, lowest possible insertion loss) became more demanding. During this period, two important advances were made in the field of filter design to address the new demands. The first was the development of design methods for advanced filtering functions incorporating built-in transmission zeros and group delay features aimed particularly at microwave filter implementation. Then, the ‘reflex’ (sometimes called ‘folded’) cross-coupled microwave filter [4] was introduced, which allowed inter-resonator couplings other than the usual main-line couplings between sequentially-numbered resonators to be implemented. These cross-couplings, as they came to be known, enabled the realization of special features of a filtering function, namely, transmission zeros to give a high close-to-band rejection of RF noise and interference, or linearization of in-band group delay, or both within the same filter structure.

The other major advance around this time was the development of dual-mode technology for waveguide filters at ComSat Laboratories [5], in response to very stringent performance requirements being imposed on spaceborne microwave equipment by system designers. The innovation came in two parts-firstly the development of the coupling matrix method for the holistic design of the filter’s main and cross-coupling elements, and secondly the ‘propagating’ dual-mode waveguide configuration which inherently provided the cross-couplings necessary for the realization of the special performance features, without the need for complex and sensitive coupling elements. Since the 1970s, the coupling matrix has become the microwave filter design tool of choice—for the initial design and then for the tuning, modeling, and analysis microwave filter performance. One important feature is the one-to-one correspondence between individual physical components of the filter and the elements of the coupling matrix. Although the initial design of a filter network assumes frequency-independent coupling elements as well as lossless and dispersionless resonators, these real-world effects may be accommodated when analyzing the matrix for filter performance prediction Different characteristics may be allocated to different elements if there is a mix of technologies in the filter.

Another advantage is the ability to reconfigure the coupling matrix through similarity transforms to arrive at a different coupling arrangement that corresponds to the available coupling elements of the particular microwave structure selected for the application. This can be done without going right back to the beginning of the network synthesis process and starting again on a different network synthesis route. This would be necessary if a classical element extraction method were used. Coupling matrix synthesis theory has been advanced to include asymmetric filtering characteristics, which have become important for terrestrial telecom systems, particularly mobile telephony systems.

Because of the prevalence of the coupling matrix in microwave filter design, this article will concentrate on techniques for the synthesis of and then the reconfiguration of the coupling matrix ready for realization in a variety of microwave structures. First, the method for the generation of advanced polynomial filtering functions will be briefly outlined followed by the synthesis of one of the canonical networks—the transversal matrix. Then, reconfiguration of the transversal matrix into various forms for realization in a variety of microwave structures will be discussed. Some examples are given to clarify aspects of the design processes, and references cited if further information is required by the reader.

2 The Coupling Matrix The basic circuit model that was used in [5] was a ‘bandpass prototype,’ which is a generalized multicoupled network as shown in Fig. The circuit comprises a cascade of lumped element series resonators intercoupled through transformers. Each resonator comprises a 1F capacitor in series with the self inductances of the main-line transformers, which total 1 H within each loop. This gives a centre frequency of 1 rad/s, and the couplings are normalized to give a bandwidth of 1 rad/s. In addition, every loop is theoretically coupled to every other loop through cross-mutual couplings between the main-line transformers. This network may be represented by an N ×N coupling matrix where N is the number of resonators (the degree or order of the filter). The elements of the matrix contain the values of the couplings between each of the resonators; between sequentially-numbered resonator nodes (main-line couplings), and non-adjacent nodes (cross-couplings).

Because the electrical elements of the network are passive and reciprocal, the matrix is symmetrical about its principal diagonal. To more closely represent a microwave circuit, the transformers may be replaced by immittance inverters (90° lengths of transmission line), which approximates the electrical characteristic of many microwave coupling devices. By placing an inverter at each end of the network, the input and output couplings of the filter may also be represented (Fig. With the extra inverters, the matrix increases to (N+2) × (N+2) in size—the so-called ‘N+2’ coupling matrix—and becomes the dual network in Fig. This circuit as it stands only supports symmetric filtering characteristics. But with the addition of a series-connected frequency-invariant reactance (FIR) within each loop, the capability of the circuit may be extended to include asymmetric cases (Fig. These have been finding increasing application recently as the RF frequency spectrum becomes more crowded and rejection specifications more severe.

The FIR—sometimes referred to as a ‘self’ coupling—represents a frequency offset of the resonator it is associated with, and its value is entered along the diagonal of the coupling matrix. Because the inverters are also frequency-invariant and there are no self-inductors, the network in Fig. 2 may now be considered as a lowpass prototype, which simplifies the synthesis process somewhat. The N+2 short-circuit admittance matrix[y ']for the network in Fig. 2 may be separated out into its purely resistive and purely reactive parts: where the purely real matrix [G ] contains the conductive terminations GS and GL of the network and the purely reactive admittance [y ]=[j M +U ] is the sum of the coupling matrix M and the diagonal matrix U which contains the frequency variable s? Adobe Acrobat Xi Pro 11 Full Serial Number Keygen Generator Ableton. (=j ω), except for USS and ULL which are zero.

The N+2 coupling matrix [M ] contains the values of all the couplings in the network, including the input/output couplings (which may connect to internal resonators). The diagonal contains the values of the frequency invariant reactances that represent resonator frequency offsets (the negative values of FIRs in Fig. 2), which are necessary for asymmetric characteristics.

3(a) shows a canonical 4th degree coupling matrix with all couplings present. 3(b) is an example of a typical coupling and routing diagram, representing a possible inter-resonator coupling arrangement for the ‘folded’ topology. 3 Synthesis Procedure The filter design process begins with the generation of the rational polynomials embodying the transfer and reflection characteristics S 21 and S11 that satisfy the rejection and in-band specifications of the application.

Once the polynomials have been obtained, the next step in the synthesis process is to synthesize the coupling matrix and configure it so that its non-zero entries coincide with the available coupling elements of the structure it intends to use for realizing the filter response. Finally, the dimensions of the coupling elements are calculated from the coupling matrix values. The procedure is illustrated in Fig. 4 for a 6th degree characteristic with two transmission zeros and realized in coupled waveguide resonator technology. The direct correspondence between the elements of the coupling matrix and the physical filter components is indicated.

3.1 Generation of Transfer and Reflection Polynomials In modern telecommunication, radar, and broadcast systems, where the allocated RF frequency spectrum has become very congested, the specifications on performance from the component microwave filters have become increasingly stringent. For these applications, Chebyshev class of filtering characteristic is very suitable on account of the inherent equiripple in-band return loss level and the ability to build in transmission zeros (TZs) to provide high close-to-band rejection levels, or in-band group delay equalization, or both within the same filtering function. Moreover, the TZs may be placed asymmetrically to optimally comply with asymmetric specifications. A method for generating the lowpass prototype polynomials for the Chebyshev class filter function is outlined below. For any two-port lossless filter network composed of a series of N intercoupled resonators, the transfer and reflection functions may be expressed as a ratio of two polynomials [6]: and RL is the prescribed inband equiripple return loss level of the Chebyshev function in dB.

S11(ω) and S21(ω) share a common denominator E (ω) The polynomials E (ω) and F (ω) are both of degree N, when the polynomial P (ω) carries the nfz transfer function finite-position transmission zeros. For a Chebyshev filtering function, ε is a constant normalizing S21(ω) to the equiripple level at ω=±1, and (εR = 1 except for fully canonical filters (ie. For a prescribed set of transmission zeros that make up the polynomial P (ω) and a given equiripple return loss level, the reflection numerator polynomial F (ω) may be built up with an efficient recursive technique. And then the polynomial E (ω) found from the conservation of energy principle [6].

An example of this synthesis method is given in [6] for a 4th degree prototype with 22 dB return loss level and two imaginary axis TZs at s01 = +j1.3127 and s02 = +j1.8082. These are positioned to give two rejection lobes at 30 dB each on the upper side of the passband.

Plots of the transfer and rejection characteristics are shown in Fig. 3.2 Construction of the N +2 Transversal Matrix The second step in the synthesis procedure is to calculate the values of the coupling elements of a canonical coupling matrix from the transfer and reflection polynomials. Three forms of the canonical matrix are commonly used-the folded [4], transversal [7] or arrow [8]. The transversal matrix is particularly easy to synthesize, and the other two may be derived from it quite simply by applying a formal series of analytically-calculated similarity transforms. The transversal coupling matrix comprises a series of N individual 1st degree low pass sections, connected in parallel between the source and load terminations but not to each other (Fig.

The direct source-load coupling inverter MSL is included to allow fully canonical transfer functions to be realized according to the “minimum path” rule, i.e. Nfzmax, the maximum number of finite-position TZs that may be realized by the network=N-nmin, where nmin is the number of resonator nodes in the shortest route through the couplings of the network between the source and load terminations. In fully canonical networks, nmin = 0 and So nfzmax = N (the degree of the network). Each N low-pass section comprises one parallel-connected capacitor Ck and one frequency invariant susceptance Bk, connected through admittance inverters of characteristic admittances MSk and MLk to the source and load terminations respectively. The circuit of the k th lowpass section is shown in Fig. The approach employed to synthesize the N+2 transversal coupling matrix is to construct a 2-port short-circuit admittance parameter matrix [YN] for the overall network in two ways: from the coefficients of the rational polynomials of the transfer and reflection scattering parameters S21(s) and S11(s) (which represent the characteristics of the filter to be realized) or from the circuit elements of the transversal array network. By equating the [YN] matrices derived by these two methods, the elements of the coupling matrix associated with the transversal array network can be related to the coefficients of the S21(s) and S11(s) polynomials [7].

An example of a reciprocal N+2 transversal coupling matrix M representing the network is shown in Fig.7. MSk are the N input couplings, and they occupy the first row and column of the matrix from positions 1 to N. Similarly, MLk are the N output couplings, and they occupy the last row and column of M from positions 1 to N. All other entries are zero. 4 Similarity Transformation and Reconfiguration The elements of the transversal coupling matrix that result from the synthesis procedure can be realized directly by the coupling elements of a filter structure if it is convenient to do so. However, for most coupled-resonator technologies, the couplings of the transversal matrix are physically impractical or impossible to realize.

It becomes necessary to reconfigure the matrix with a sequence of similarity transforms (sometimes called rotations) [8] until a more convenient coupling topology is obtained. The use of similarity transforms ensures that the eigenvalues and eigenvectors of the matrix M are preserved. Under analysis, the transformed matrix yields exactly the same transfer and reflection characteristics as the original matrix. There are several more practical canonical forms for the transformed coupling matrix M. Two of the better-known forms are the ‘arrow’ form [8] and the more generally useful ‘folded’ form [4].

Either of these canonical forms can be used directly if it is convenient to realize the couplings or be used as a starting point for the application of further transforms to create an alternative resonator intercoupling topology optimally adapted to the physical and electrical constraints of the technology with which the filter will eventually be realized. The method for reduction of the coupling matrix to the folded form with a formal sequence of rotations is detailed in [6]. The ‘arrow’ form may be derived using a very similar method. 5 Advanced Configurations In this section, some advanced coupling matrix configurations particularly suitable for filters and diplexers in terrestrial telecommunication systems will be considered. An important application is in the cellular telephony industry where strong growth has meant that very stringent out-of-band rejection and in-band linearity specifications have had to be imposed to cope with a crowded frequency spectrum and increasing numbers of channels. At the RF frequencies allocated to mobile systems (L-band, S-band, and sometimes C-band), coaxial or dielectric resonator technology is often used for the filters of the system because of the compact, flexible, and robust construction with flexible layout possibilities that may be achieved together with the ability to realize advanced filtering characteristics and quite high RF power handling.

A microwave filter topology that has found widespread application in both terrestrial and space systems is the ‘trisection.’ The basic trisection may be used as a stand-alone section or be embedded within a higher-degree filter network. But often multiple trisections are merged to form advanced configurations such as cascaded ‘N-tuplets’ or box filters. 5.1 Trisections A trisection comprises three couplings between three sequentially-numbered nodes of a network (the first and third of which may be source or load terminals) or it might be embedded within the coupling matrix of a higher-degree network [9]. The minimum path rule indicates that trisections are able to realize one transmission zero each. As will be shown later, trisections may be merged using rotations to form higher-order sections; for example, a quartet capable of realizing two TZs can be formed by merging two trisections. Fig.8 shows four possible configurations.

Fig.8(a) is an internal trisection, whilst Figs.8(b) and (c) show ‘input’ and ‘output’ trisections respectively, where one node is the source or load termination. When the first and third nodes are the source and load terminations respectively (Fig. 8(d)), we have a canonical network of degree 1 with the direct source-load coupling, MSL, providing the single transmission zero.

Trisections may also be cascaded with other trisections, either separately or conjoined (Figs. 8(e) and (f)). Beingable to realize just one transmission zero each, the trisection is very useful for synthesizing filters with asymmetric characteristics. They may exist singly within a network or multiply as a cascade.

Rotations may be applied to reposition them along the diagonal of the overall coupling matrix or to merge them to create quartet sections (two trisections) or quintet sections (three trisections). The following is an efficient procedure for synthesizing a cascade of trisections [9]. 5.2 Synthesis of the ‘Arrow’ Canonical Coupling Matrix The folded cross-coupled circuit and its corresponding coupling matrix was previously introduced as one of the basic canonical forms of the coupling matrix. It is capable of realizing N transmission zeros in an N th degree network.

A second form was introduced by Bell [8] in 1982, which later become known as the ‘wheel’ or ‘arrow’ form. Like the folded form, all the main-line couplings are present; and in addition, the source terminal and each resonator node is cross-coupled to the load terminal. 9(a) is an example of a coupling and routing diagram for a 5th degree canonical filtering circuit.

It shows clearly why this configuration is referred to as the ‘wheel.’ with the main-line couplings forming the (partially incomplete) rim and the cross-couplings and input/output coupling forming the spokes. 9(b) shows the corresponding coupling matrix where the cross-coupling elements are all in the last row and column, and together with the main line and self couplings on the main diagonals give the matrix the appearance of an arrow pointing downwards towards the lower right corner of the matrix. The arrow matrix may be synthesized from the canonical transversal matrix with a formal sequence of rotations, similar to that of the folded matrix. The basis of the trisection synthesis procedure relies on the fact that the value the determinant of the self and mutual couplings of the trisection evaluated at ω=ω 0 (the position of the TZ associated with the trisection) is zero: where k is the number of the middle resonator of the trisection. Knowing the positions of the transmission zeros of the filtering characteristic, the trisections can be generated one by one within the arrow matrix, and shifted to form a cascade between the input and output nodes.

10 gives the topology and coupling matrix for the 4th degree filter with 22 dB RL and two transmission zeros at (ω 01=1.8082 and (ω 02=1.3217 that was used as an example above now configured with two trisections (to realize the two TZs). The shaded areas in the matrix indicate the couplings associated with each trisection. Once the arrow coupling matrix has been formed, the procedure to create the first trisection realizing the first TZ at ω =ω 01 begins with conditioning the matrix with the application of a rotation at pivot [N-1, N ] and an angle (θ 01 to the original arrow matrix M (0).

This trisection is then shifted by a series of rotations to the left of the network. Now he process can be repeated for the second trisection at ω =ω 02 and so on until a cascade of trisections is formed—one for each of the TZs in the original prototype, as shown in Fig. The trisections may be realized directly if it is convenient to do so; for example, for coupled coaxial resonators. But for other technologies such as dual-mode waveguide, a cascade of quartets may be more suitable. A cascade of quartets is easily achieved by merging adjacent trisections, as illustrated in Fig. Fig.11(c) shows a possible coaxial-resonator realization for the two quartets.

This procedure can be extended to form even higher-order sections in cascade; for example, three trisections may be merged to form a quintet section, as illustrated in Fig.12. 6 Box and Extended Box Sections 6.1 Box Sections The trisection may also be used to create another class of configuration known as the ‘box’ or ‘extended box’ class [10]. The box section is similar to the cascade quartet section, that is, it has four resonator nodes arranged in a square; however the input to and output from the quartet are from opposite corners of the square. 13(a) shows the conventional quartet arrangement for a 4th degree filtering function with a single transmission zero and realized with a trisection. 13(b) shows the equivalent box section realizing the same transmission zero but without the need for the diagonal coupling. Application of the minimum path rule indicates that the box section can realize only a single TZ.

The box section is created by the application of a cross-pivot rotation to a trisection that has been synthesized within the overall coupling matrix for the filter. To transform the trisection into a basic box section, the rotation pivot is set to annihilate the second main-line coupling of the trisection in the coupling matrix. Pivot = [2,3] annihilating element M23 in the trisection 1-2-3 in the 4th degree example of Fig.13(a) and in its equivalent coupling and routing schematic in Fig.14(a). In the process of annihilating the main-line coupling M23, the coupling M24 is created (Fig.14(b)), and then, by ‘untwisting’ the network, the box section is formed (Fig.14(c)). In the resultant box section, one of the couplings is always negative, irrespective of the sign of the cross-coupling (M13) in the original trisection. 15(a) gives the coupling and routing diagram for a 10th degree example with two transmission zeros realized as trisections. 15(b) shows that each trisection has been transformed into a box section within the matrix by the application of two cross-pivot rotations at pivots [2], [3] and [8],[9].

Having no diagonal couplings, this form is suitable for realization in dual-mode technology. An interesting feature of the box section is that to create the complementary response (i.e.

The transmission zero appears on the opposite side of the passband), it is only necessary to change the values of the self couplings to their conjugate values. In practice, this is a process of retuning the resonators of the RF device—no couplings need to be changed in value or sign. This means that the same physical structure can be used for the filters of, for example, a complementary diplexer. 6.2 Extended Box Sections The basic box section may be extended to enable a greater number of transmission zeros to be realized, but retaining a convenient physical arrangement is shown in (Fig.16) [10]. Here, the basic 4th degree box section is shown and then the addition of pairs of resonators to form 6th, 8th and 10th degree networks. Application of the minimum path rule indicates that a maximum of 1, 2, 3, 4 (N-2)/2 transmission zeros can be realized by the 4th, 6th, 8th, 10th,N th degree networks respectively.

The resonators are arranged in two parallel rows with half the total number of resonators in each row. The input is at the corner of one end and output from the diagonally opposite corner at the other end. Even though asymmetric characteristics may be prescribed, there are no diagonal cross-couplings. At present, a formal series of rotations to generate an extended box filter is not known. The form can, however, be derived with the software package Dedale-HF, which is accessible on the Internet [11]. Because of its simplicity, the box filter is useful for the design of transmit/receive diplexers, which are very often found in the base stations of cellular telephony systems.

An example of a simple diplexer comprising two complementary-asymmetric 4th degree filters, each with one transmission zero producing a 30 dB rejection lobe over each other’s usable bandwidth. Is shown in Fig. 17(a), and its performance is shown in Fig. This diplexer was designed using software that optimizes the length and impedances of the common-port coupling wires as well as the first few elements of each filter nearest to the CP (coupling values, resonator tuning frequencies). In practice, much greater Tx-Rx isolation is usually required, and higher degree filters with more transmission zeros have to be used. 7 Conclusions In this article some of the more recent developments in the art of filter synthesis have been outlined.

These have been based on the coupling matrix representation of the filter network’s inter-resonator coupling arrangements because of the amenity of the coupling matrix to mathematical manipulation, and the one-to-one correspondence of the elements of the coupling matrix to the real filter parameters. The methods described in this article probably do not cover all those available today for filter network synthesis.

Some configurations cannot be achieved by a sequence of analytically-calculated rotations, and optimization methods working on the coupling matrix elements have to be employed [12]-[13]. Some advanced developments are ongoing into the synthesis of ‘lossy’ filters [14], which are used to compensate for a low resonator Q and give very linear in-band performance but at the expense of high-ish insertion loss (not a real problem in low-power circuits). Also, some work is also ongoing into the synthesis of coupling matrices for wideband devices where the coupling elements have a frequency dependency [15]. Some novel synthesis techniques have recently become available for the design of circuits incorporating the non-resonant node (NRN) element, which are useful in high-power applications and for making the design of dielectric and planar circuits easier [16]. References [1] S. Darlington, “Synthesis of reactance 4-poles which produce insertion loss characteristics,” J.

257-353, 1939. Van Valkenburg, Network Analysis.

Englewood Cliffs, N.J.: Prentice-Hall, 1955. Young, and E. Jones, Microwave Filters, Impedance Matching Networks and Coupling Structures. Norwood, MA: Artech House, 1980.

Rhodes, “The generalized direct-coupled cavity linear phase filter,” IEEE Trans. Theory Tech., vol. 308-313, June 1971. Williams, “New types of bandpass filters for satellite transponders,” COMSAT Technical Review, vol. Cameron, “General coupling matrix synthesis methods for Chebyshev filtering functions,” IEEE Trans. Theory Tech., vol.

433-442, Apr. Cameron, “Advanced coupling matrix synthesis techniques for microwave filters,” IEEE Trans.

Theory Tech., vol. Bell, “Canonical asymmetric coupled-resonator filters,” IEEE Trans. Theory Tech., vol. 1335-1340, Sept. Tamiazzo and G. Macchiarella, “An analytical technique for the synthesis of cascaded N-tuplets cross-coupled resonators microwave filters using matrix rotations,” IEEE Trans. Theory Tech., vol.

1693-1698, May 2005. Harish, and C. Radcliffe, “Synthesis of advanced microwave filters without diagonal cross-couplings,” IEEE Trans. Theory Tech., vol. 2862-2872, Dec.

[11] Dedale-HF page. Available: [12] S. Amari, “Synthesis of cross-coupled resonator filters using an analytical gradient-based optimization technique,” IEEE Trans. Theory Tech., vol. 1559-1564, Sept 2000.

Atia, “Synthesis of general topology multiple-coupled resonator filters by optimization,” in IEEE MTT-S Int. 2, Baltimore, MD, 1998, pp 821-824. Miraftab and M. Yu, “Advanced coupling matrix and admittance function synthesis techniques for dissipative microwave filters,” IEEE Trans. Theory Tech., vol. 2429-2438, Oct. Rhodes and I.

Hunter, “Synthesis of reflection-mode prototype networks with dissipative circuit elements,” IEEE Proc. Microw., Antennas, Propag., vol. 437-442, Dec. Seyfert, and M.

Bekheit, “Theory of coupled resonator microwave bandpass filters of arbitrary bandwidth,” IEEE Trans. Theory Tech., vol. 2188-2203, Aug. Rosenberg, “New building blocks for modular deisgn of elliptic and self-equalized filters,” IEEE Trans. Theory and Techniques., vol. 721-736, Feb.

1 Introduction Until the early 1970s, nearly all filter synthesis techniques were based on the extraction of electrical elements—lumped capacitors and inductors, and transmission line lengths—from the polynomials that represented the filter’s electrical performance in mathematical terms. This was perfectly adequate for the technologies and applications that were available at the time. Many important contributions were made to the art of advanced filter transfer and reflection polynomial generation and to their conversion into electrical component values corresponding to the filter technologies that were available in those days [1]-[3]. In the early 1970s, the first satellite telecommunication systems were in operation, and demand for their services was growing enormously. This meant that RF spectrum allocated to satellite communication systems had to be pushed to higher frequency bands in order to accommodate the increasing volumes of traffic.

The technology available to implement components of these higher-frequency systems was also advancing; for example, better front-end low-noise amplifiers, high power transmit amplifiers, antenna systems, and passive channelizing equipment. Crowding of the available spectrum meant that the specifications for channel filters in terms of in-band linearity (group delay, insertion loss) and out-of-band selectivity (high close-to-band rejection; and for transmit filters, lowest possible insertion loss) became more demanding. During this period, two important advances were made in the field of filter design to address the new demands.

The first was the development of design methods for advanced filtering functions incorporating built-in transmission zeros and group delay features aimed particularly at microwave filter implementation. Then, the ‘reflex’ (sometimes called ‘folded’) cross-coupled microwave filter [4] was introduced, which allowed inter-resonator couplings other than the usual main-line couplings between sequentially-numbered resonators to be implemented. These cross-couplings, as they came to be known, enabled the realization of special features of a filtering function, namely, transmission zeros to give a high close-to-band rejection of RF noise and interference, or linearization of in-band group delay, or both within the same filter structure. The other major advance around this time was the development of dual-mode technology for waveguide filters at ComSat Laboratories [5], in response to very stringent performance requirements being imposed on spaceborne microwave equipment by system designers. The innovation came in two parts-firstly the development of the coupling matrix method for the holistic design of the filter’s main and cross-coupling elements, and secondly the ‘propagating’ dual-mode waveguide configuration which inherently provided the cross-couplings necessary for the realization of the special performance features, without the need for complex and sensitive coupling elements. Since the 1970s, the coupling matrix has become the microwave filter design tool of choice—for the initial design and then for the tuning, modeling, and analysis microwave filter performance.

One important feature is the one-to-one correspondence between individual physical components of the filter and the elements of the coupling matrix. Although the initial design of a filter network assumes frequency-independent coupling elements as well as lossless and dispersionless resonators, these real-world effects may be accommodated when analyzing the matrix for filter performance prediction Different characteristics may be allocated to different elements if there is a mix of technologies in the filter. Another advantage is the ability to reconfigure the coupling matrix through similarity transforms to arrive at a different coupling arrangement that corresponds to the available coupling elements of the particular microwave structure selected for the application. This can be done without going right back to the beginning of the network synthesis process and starting again on a different network synthesis route. This would be necessary if a classical element extraction method were used. Coupling matrix synthesis theory has been advanced to include asymmetric filtering characteristics, which have become important for terrestrial telecom systems, particularly mobile telephony systems.

Then, reconfiguration of the transversal matrix into various forms for realization in a variety of microwave structures will be discussed. Some examples are given to clarify aspects of the design processes, and references cited if further information is required by the reader. 2 The Coupling Matrix The basic circuit model that was used in [5] was a ‘bandpass prototype,’ which is a generalized multicoupled network as shown in Fig. The circuit comprises a cascade of lumped element series resonators intercoupled through transformers. Each resonator comprises a 1F capacitor in series with the self inductances of the main-line transformers, which total 1 H within each loop. This gives a centre frequency of 1 rad/s, and the couplings are normalized to give a bandwidth of 1 rad/s. In addition, every loop is theoretically coupled to every other loop through cross-mutual couplings between the main-line transformers.

This network may be represented by an N ×N coupling matrix where N is the number of resonators (the degree or order of the filter). The elements of the matrix contain the values of the couplings between each of the resonators; between sequentially-numbered resonator nodes (main-line couplings), and non-adjacent nodes (cross-couplings). Because the electrical elements of the network are passive and reciprocal, the matrix is symmetrical about its principal diagonal.

To more closely represent a microwave circuit, the transformers may be replaced by immittance inverters (90° lengths of transmission line), which approximates the electrical characteristic of many microwave coupling devices. By placing an inverter at each end of the network, the input and output couplings of the filter may also be represented (Fig.

With the extra inverters, the matrix increases to (N+2) × (N+2) in size—the so-called ‘N+2’ coupling matrix—and becomes the dual network in Fig. This circuit as it stands only supports symmetric filtering characteristics. But with the addition of a series-connected frequency-invariant reactance (FIR) within each loop, the capability of the circuit may be extended to include asymmetric cases (Fig. These have been finding increasing application recently as the RF frequency spectrum becomes more crowded and rejection specifications more severe. The FIR—sometimes referred to as a ‘self’ coupling—represents a frequency offset of the resonator it is associated with, and its value is entered along the diagonal of the coupling matrix. Because the inverters are also frequency-invariant and there are no self-inductors, the network in Fig. 2 may now be considered as a lowpass prototype, which simplifies the synthesis process somewhat.

The N+2 short-circuit admittance matrix[y ']for the network in Fig. 2 may be separated out into its purely resistive and purely reactive parts: where the purely real matrix [G ] contains the conductive terminations GS and GL of the network and the purely reactive admittance [y ]=[j M +U ] is the sum of the coupling matrix M and the diagonal matrix U which contains the frequency variable s?(=j ω), except for USS and ULL which are zero.

2), which are necessary for asymmetric characteristics. 3(a) shows a canonical 4th degree coupling matrix with all couplings present. 3(b) is an example of a typical coupling and routing diagram, representing a possible inter-resonator coupling arrangement for the ‘folded’ topology. 3 Synthesis Procedure The filter design process begins with the generation of the rational polynomials embodying the transfer and reflection characteristics S 21 and S11 that satisfy the rejection and in-band specifications of the application. Once the polynomials have been obtained, the next step in the synthesis process is to synthesize the coupling matrix and configure it so that its non-zero entries coincide with the available coupling elements of the structure it intends to use for realizing the filter response.

Finally, the dimensions of the coupling elements are calculated from the coupling matrix values. The procedure is illustrated in Fig. 4 for a 6th degree characteristic with two transmission zeros and realized in coupled waveguide resonator technology. The direct correspondence between the elements of the coupling matrix and the physical filter components is indicated.

For a prescribed set of transmission zeros that make up the polynomial P (ω) and a given equiripple return loss level, the reflection numerator polynomial F (ω) may be built up with an efficient recursive technique. And then the polynomial E (ω) found from the conservation of energy principle [6].

Three forms of the canonical matrix are commonly used-the folded [4], transversal [7] or arrow [8]. The transversal matrix is particularly easy to synthesize, and the other two may be derived from it quite simply by applying a formal series of analytically-calculated similarity transforms. The transversal coupling matrix comprises a series of N individual 1st degree low pass sections, connected in parallel between the source and load terminations but not to each other (Fig. The direct source-load coupling inverter MSL is included to allow fully canonical transfer functions to be realized according to the “minimum path” rule, i.e. Nfzmax, the maximum number of finite-position TZs that may be realized by the network=N-nmin, where nmin is the number of resonator nodes in the shortest route through the couplings of the network between the source and load terminations. In fully canonical networks, nmin = 0 and So nfzmax = N (the degree of the network).

Each N low-pass section comprises one parallel-connected capacitor Ck and one frequency invariant susceptance Bk, connected through admittance inverters of characteristic admittances MSk and MLk to the source and load terminations respectively. The circuit of the k th lowpass section is shown in Fig.

The approach employed to synthesize the N+2 transversal coupling matrix is to construct a 2-port short-circuit admittance parameter matrix [YN] for the overall network in two ways: from the coefficients of the rational polynomials of the transfer and reflection scattering parameters S21(s) and S11(s) (which represent the characteristics of the filter to be realized) or from the circuit elements of the transversal array network. By equating the [YN] matrices derived by these two methods, the elements of the coupling matrix associated with the transversal array network can be related to the coefficients of the S21(s) and S11(s) polynomials [7]. An example of a reciprocal N+2 transversal coupling matrix M representing the network is shown in Fig.7. MSk are the N input couplings, and they occupy the first row and column of the matrix from positions 1 to N. Similarly, MLk are the N output couplings, and they occupy the last row and column of M from positions 1 to N.

All other entries are zero. 4 Similarity Transformation and Reconfiguration The elements of the transversal coupling matrix that result from the synthesis procedure can be realized directly by the coupling elements of a filter structure if it is convenient to do so. However, for most coupled-resonator technologies, the couplings of the transversal matrix are physically impractical or impossible to realize. It becomes necessary to reconfigure the matrix with a sequence of similarity transforms (sometimes called rotations) [8] until a more convenient coupling topology is obtained. The use of similarity transforms ensures that the eigenvalues and eigenvectors of the matrix M are preserved. Under analysis, the transformed matrix yields exactly the same transfer and reflection characteristics as the original matrix.

There are several more practical canonical forms for the transformed coupling matrix M. Two of the better-known forms are the ‘arrow’ form [8] and the more generally useful ‘folded’ form [4]. Either of these canonical forms can be used directly if it is convenient to realize the couplings or be used as a starting point for the application of further transforms to create an alternative resonator intercoupling topology optimally adapted to the physical and electrical constraints of the technology with which the filter will eventually be realized. The method for reduction of the coupling matrix to the folded form with a formal sequence of rotations is detailed in [6]. The ‘arrow’ form may be derived using a very similar method. 5 Advanced Configurations In this section, some advanced coupling matrix configurations particularly suitable for filters and diplexers in terrestrial telecommunication systems will be considered. An important application is in the cellular telephony industry where strong growth has meant that very stringent out-of-band rejection and in-band linearity specifications have had to be imposed to cope with a crowded frequency spectrum and increasing numbers of channels.

At the RF frequencies allocated to mobile systems (L-band, S-band, and sometimes C-band), coaxial or dielectric resonator technology is often used for the filters of the system because of the compact, flexible, and robust construction with flexible layout possibilities that may be achieved together with the ability to realize advanced filtering characteristics and quite high RF power handling. A microwave filter topology that has found widespread application in both terrestrial and space systems is the ‘trisection.’ The basic trisection may be used as a stand-alone section or be embedded within a higher-degree filter network. But often multiple trisections are merged to form advanced configurations such as cascaded ‘N-tuplets’ or box filters.

5.1 Trisections A trisection comprises three couplings between three sequentially-numbered nodes of a network (the first and third of which may be source or load terminals) or it might be embedded within the coupling matrix of a higher-degree network [9]. The minimum path rule indicates that trisections are able to realize one transmission zero each. As will be shown later, trisections may be merged using rotations to form higher-order sections; for example, a quartet capable of realizing two TZs can be formed by merging two trisections.

Fig.8 shows four possible configurations. Fig.8(a) is an internal trisection, whilst Figs.8(b) and (c) show ‘input’ and ‘output’ trisections respectively, where one node is the source or load termination. When the first and third nodes are the source and load terminations respectively (Fig. 8(d)), we have a canonical network of degree 1 with the direct source-load coupling, MSL, providing the single transmission zero.

5.2 Synthesis of the ‘Arrow’ Canonical Coupling Matrix The folded cross-coupled circuit and its corresponding coupling matrix was previously introduced as one of the basic canonical forms of the coupling matrix. It is capable of realizing N transmission zeros in an N th degree network. A second form was introduced by Bell [8] in 1982, which later become known as the ‘wheel’ or ‘arrow’ form. Like the folded form, all the main-line couplings are present; and in addition, the source terminal and each resonator node is cross-coupled to the load terminal.

9(a) is an example of a coupling and routing diagram for a 5th degree canonical filtering circuit. It shows clearly why this configuration is referred to as the ‘wheel.’ with the main-line couplings forming the (partially incomplete) rim and the cross-couplings and input/output coupling forming the spokes. 9(b) shows the corresponding coupling matrix where the cross-coupling elements are all in the last row and column, and together with the main line and self couplings on the main diagonals give the matrix the appearance of an arrow pointing downwards towards the lower right corner of the matrix. The arrow matrix may be synthesized from the canonical transversal matrix with a formal sequence of rotations, similar to that of the folded matrix. The basis of the trisection synthesis procedure relies on the fact that the value the determinant of the self and mutual couplings of the trisection evaluated at ω=ω 0 (the position of the TZ associated with the trisection) is zero: where k is the number of the middle resonator of the trisection. Knowing the positions of the transmission zeros of the filtering characteristic, the trisections can be generated one by one within the arrow matrix, and shifted to form a cascade between the input and output nodes.

Fig.11(c) shows a possible coaxial-resonator realization for the two quartets. This procedure can be extended to form even higher-order sections in cascade; for example, three trisections may be merged to form a quintet section, as illustrated in Fig.12. 6 Box and Extended Box Sections 6.1 Box Sections The trisection may also be used to create another class of configuration known as the ‘box’ or ‘extended box’ class [10]. The box section is similar to the cascade quartet section, that is, it has four resonator nodes arranged in a square; however the input to and output from the quartet are from opposite corners of the square. 13(a) shows the conventional quartet arrangement for a 4th degree filtering function with a single transmission zero and realized with a trisection.

13(b) shows the equivalent box section realizing the same transmission zero but without the need for the diagonal coupling. Application of the minimum path rule indicates that the box section can realize only a single TZ. The box section is created by the application of a cross-pivot rotation to a trisection that has been synthesized within the overall coupling matrix for the filter. To transform the trisection into a basic box section, the rotation pivot is set to annihilate the second main-line coupling of the trisection in the coupling matrix. Pivot = [2,3] annihilating element M23 in the trisection 1-2-3 in the 4th degree example of Fig.13(a) and in its equivalent coupling and routing schematic in Fig.14(a). In the process of annihilating the main-line coupling M23, the coupling M24 is created (Fig.14(b)), and then, by ‘untwisting’ the network, the box section is formed (Fig.14(c)). In the resultant box section, one of the couplings is always negative, irrespective of the sign of the cross-coupling (M13) in the original trisection.

15(a) gives the coupling and routing diagram for a 10th degree example with two transmission zeros realized as trisections. 15(b) shows that each trisection has been transformed into a box section within the matrix by the application of two cross-pivot rotations at pivots [2], [3] and [8],[9]. Having no diagonal couplings, this form is suitable for realization in dual-mode technology. An interesting feature of the box section is that to create the complementary response (i.e.

The input is at the corner of one end and output from the diagonally opposite corner at the other end. Even though asymmetric characteristics may be prescribed, there are no diagonal cross-couplings. At present, a formal series of rotations to generate an extended box filter is not known. The form can, however, be derived with the software package Dedale-HF, which is accessible on the Internet [11]. Because of its simplicity, the box filter is useful for the design of transmit/receive diplexers, which are very often found in the base stations of cellular telephony systems. An example of a simple diplexer comprising two complementary-asymmetric 4th degree filters, each with one transmission zero producing a 30 dB rejection lobe over each other’s usable bandwidth. Is shown in Fig.

17(a), and its performance is shown in Fig. This diplexer was designed using software that optimizes the length and impedances of the common-port coupling wires as well as the first few elements of each filter nearest to the CP (coupling values, resonator tuning frequencies).

In practice, much greater Tx-Rx isolation is usually required, and higher degree filters with more transmission zeros have to be used. 7 Conclusions In this article some of the more recent developments in the art of filter synthesis have been outlined. These have been based on the coupling matrix representation of the filter network’s inter-resonator coupling arrangements because of the amenity of the coupling matrix to mathematical manipulation, and the one-to-one correspondence of the elements of the coupling matrix to the real filter parameters. The methods described in this article probably do not cover all those available today for filter network synthesis. Some configurations cannot be achieved by a sequence of analytically-calculated rotations, and optimization methods working on the coupling matrix elements have to be employed [12]-[13]. Some advanced developments are ongoing into the synthesis of ‘lossy’ filters [14], which are used to compensate for a low resonator Q and give very linear in-band performance but at the expense of high-ish insertion loss (not a real problem in low-power circuits). Also, some work is also ongoing into the synthesis of coupling matrices for wideband devices where the coupling elements have a frequency dependency [15].

Some novel synthesis techniques have recently become available for the design of circuits incorporating the non-resonant node (NRN) element, which are useful in high-power applications and for making the design of dielectric and planar circuits easier [16]. References [1] S. Darlington, “Synthesis of reactance 4-poles which produce insertion loss characteristics,” J. 257-353, 1939. Van Valkenburg, Network Analysis. Englewood Cliffs, N.J.: Prentice-Hall, 1955. Young, and E.

Jones, Microwave Filters, Impedance Matching Networks and Coupling Structures. Norwood, MA: Artech House, 1980.

Theory Tech., vol. 433-442, Apr. Cameron, “Advanced coupling matrix synthesis techniques for microwave filters,” IEEE Trans. Theory Tech., vol. Bell, “Canonical asymmetric coupled-resonator filters,” IEEE Trans.

Theory Tech., vol. 1335-1340, Sept. Tamiazzo and G. Macchiarella, “An analytical technique for the synthesis of cascaded N-tuplets cross-coupled resonators microwave filters using matrix rotations,” IEEE Trans. Theory Tech., vol. 1693-1698, May 2005.

Harish, and C. Radcliffe, “Synthesis of advanced microwave filters without diagonal cross-couplings,” IEEE Trans. Theory Tech., vol. 2862-2872, Dec. [11] Dedale-HF page. Available: [12] S. Amari, “Synthesis of cross-coupled resonator filters using an analytical gradient-based optimization technique,” IEEE Trans.

Theory Tech., vol. 1559-1564, Sept 2000. Atia, “Synthesis of general topology multiple-coupled resonator filters by optimization,” in IEEE MTT-S Int. 2, Baltimore, MD, 1998, pp 821-824. Miraftab and M.

Yu, “Advanced coupling matrix and admittance function synthesis techniques for dissipative microwave filters,” IEEE Trans. Theory Tech., vol. 2429-2438, Oct. Rhodes and I. Hunter, “Synthesis of reflection-mode prototype networks with dissipative circuit elements,” IEEE Proc.

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Seyfert, and M. Bekheit, “Theory of coupled resonator microwave bandpass filters of arbitrary bandwidth,” IEEE Trans. Theory Tech., vol. 2188-2203, Aug. Rosenberg, “New building blocks for modular deisgn of elliptic and self-equalized filters,” IEEE Trans. Theory and Techniques., vol.

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As some of you have generously pointed out there is a bug in Couplings Designer 1.3 that was introduced with the iOS 7.1 release a couple of weeks ago. The bug introduces a crash whenever one is performing any of the following actions: – Crashes when synthesizing a new design. A temporary solution is to return back to the newly created design which will now work normally since this bug only appears for newly created designs. – Crash on design export (via email). Also seems to corrupt the selected design’s data, use this feature with caution.

Please comment below if you are experiencing issues with the app! I will update the software as soon as possible to support iOS 7 better, it will most likely be an iOS 7-only release since Apple has introduced a lot of changes to the SDK since the release of iOS 5 in 2011. The plan is to have these bugs resolved in 1-2 weeks time. Thank you for your understanding and support, I am sorry for the inconvenience! Edit (April 10): update 1.4 has been submitted to Apple for approval, which usually takes a week until it ends up in the AppStore. In addition to the bug fixes there are a couple of new features added and a fresh new interface.

Edit: Couplings Designer 1.4 now available on the AppStore. Read the article: In this tutorial we will learn how to synthesize and implement a chebyshev response with a combline cavity topology using Couplings Designer. Couplings are extracted and linked to physical dimensions and then combined to realize the final filter layout. It will be shown that unintended couplings may distort the passband and stopband performance. These coupling are analyzed by Couplings Designer with a new coupling matrix that takes them into account and the final physical dimensions are tuned to reflect the change, finally retreiving the chebyshev response. Currently looking for beta testers of a new filter synthesis tool, similar to Couplings Designer, for windows.

I will select a number of testers that will be rewarded with the end product when released. You need to be familiar with coupling matrices and have experience designing filters using them, otherwise your feedback will not be as helpful. Let me know which version of windows you are running too. Sounds like an interesting deal? Write a comment or send me an email and I’ll come back to you. A demonstration of advanced filter synthesis concepts that can be applied to your future designs to meet the demand for stringent requirements. Couplings Designer makes it easy.

• – the importance of transmission zeros and how they can be engineered to create advanced filter responses for increased rejection and/or group delay equalisation. • – the relatively new building block, a non-resonating node or NRN, can be used to create new advanced filter topologies. • – the benefits of predistortion when size and cost requirements are stringent. • – the importance of distributing the resonator Qs correctly when reducing the size of a filter implementation. • – the concerns involved in choosing an appropriate topology, especially the sensitivity issues inherited in certain topologies. • – the power of combining two synthesis methods, exact approximation with prescribed zeros and optimization, to synthesize a coupling matrix according to a specification.