Research Article  Open Access
Applications of Generalized Cascade Scattering Matrix on the Microwave Circuits and Antenna Arrays
Abstract
The ideal lossless symmetrical reciprocal network (ILSRN) is constructed and introduced to resolve the complex interconnections of two arbitrary microwave networks. By inserting the ILSRNs, the complex interconnections can be converted into the standard onebyone case without changing the characteristics of the previous microwave networks. Based on the algorithm of the generalized cascade scattering matrix, a useful derivation on the excitation coefficients of antenna arrays is firstly proposed with consideration of the coupling effects. And then, the proposed techniques are applied on the microwave circuits and antenna arrays. Firstly, an improved magicT is optimized, fabricated, and measured. Compared with the existing results, the prototype has a wider bandwidth, lower insertion loss, better return loss, isolation, and imbalances. Secondly, two typical linear waveguide slotted arrays are designed. Both the radiation patterns and scattering parameters at the input ports agree well with the desired goals. Finally, the feeding network of a twoelement microstrip antenna array is optimized to decrease the mismatch at the input port, and a good impedance matching is successfully achieved.
1. Introduction
Microwave system consists of microwave elements and transmission lines, and the microwave network theory is one of the most important analytical approaches to design and synthesize the microwave equipment. A field analysis using Maxwell’s equations is complete and rigorous. However, usually we are only interested in the terminal characteristics and the power flow through a device. And, sometimes, it is convenient to combine the elements together and find the responses without having to reanalyze the behavior of each element in combination with its neighbors. As a result, the complex and sensitive parts can be analyzed with a rigorous field analysis approach, while the characteristics of the entire network are obtained by microwave network theory.
Generally, a microwave network with an arbitrary number of ports can be characterized by the impedance, admittance, and scattering matrices. The transmission (ABCD) matrix has been widely adopted in many applications, but it only works for two or more twoport networks. Recently, a generalized method for arbitrary networks was discussed by Hallbjörner [1]. It was based on the calculation of the sum of admittances by considering both the “internal” and “external” ports. At each intersection, the sum of admittances is obtained separately. And then, construct the scattering matrices of the elements and calculate the scattering matrix of the entire network according to the equations raised by the authors. In this paper, the principle is completely different, where the scattering matrices are cascaded onebyone and based on different algorithms. The algorithm of generalized cascade scattering matrix has been presented in many researches and educational books [2–6]. However, it seems that the existing descriptions only present approaches to cope with the onebyone interconnections. There is no distinct explanation on the complex interconnections. Besides, as far as we know, the algorithm is usually employed on microwave circuits, and it has never been applied on the excitation coefficients of antenna arrays.
In this paper, the algorithm of the generalized cascade scattering matrix is studied and expanded to deal with the complex interconnections and the excitation coefficients of antenna arrays. The ideal lossless symmetrical reciprocal network (ILSRN) is firstly presented to facilitate the generalized microwave cascade network. It can be treated as the “virtual joint” to combine the surrounding networks together. As a result, the generalized cascade scattering matrix can be expediently operated with an intuitive idea. The only thing one should to do is just to offer the interconnection relationships, and then the operations of the generalized cascade scattering matrices can be automatically performed on the computer. Moreover, a useful derivation on the excitation coefficients of antenna arrays is firstly proposed with consideration of the coupling effects. The antenna array as a whole is considered to be a network load of the feeding network. The excitation coefficients of each unit can be obtained through the interconnection of the feeding network and antenna array. To demonstrate the accuracy of the proposed techniques, applications both in the fields of microwave circuits and antenna arrays will be presented in the following.
The framework of this paper is as follows. In Section 2, the algorithm of the generalized cascade scattering matrix is derived, and the ILSRNs are illuminated in detail. Moreover, the derivation on the excitation coefficients of antenna arrays is presented. In Section 3, the proposed techniques are employed on several applications. Finally, we draw the conclusions in Section 4.
2. Algorithms on the Generalized Cascade Scattering Matrix and Antenna Arrays
Considering two arbitrary microwave networks I and II, the scattering matrices can be written aswhere the scattering matrices are separated into four cells related to the remaining (R) and vanished (V) ports, respectively. If the vanished ports of two different networks are interconnected onebyone, they are satisfied by
Combining (1) and (2) yields the renewed scattering parameters at both the remaining and vanished portsHere, , , , and are given bywhere is the unit matrix.
Note that the derivation is under a hypothesis that each pair of interconnection ports is interconnected onebyone. Although similar conclusions have been drawn in many researches and educational books, none clearly indicate how to deal with the complex situations, for example, the interconnections with more than two ports and selfloops with the ports coming from the same network. Here, the ILSRNs are introduced to resolve the problem. Assume a threeport ILSRN has a generalized form ofIn terms of the reciprocity and symmetry, it generatesThen, as to a lossless network, it is satisfied by
The above complex equation set contains four unknowns, and more conditions are needed to resolve it. At the threeport node, Kirchhoff’s voltage law and current law can be applied to givewhere and , , are the normalized voltage and current at the th port, respectively, and are defined byThus, this yieldsFrom (8) and (11), the solutions can be found asSimilarly, the ILSRNs with an arbitrary number of ports can be constructed for particular problems. For example, the scattering matrices of twoport and fourport ILSRNs are given by
To illuminate the decomposition of the complex interconnections, a sketch is shown in Figure 1. We find it contains three nonstandard interconnections (marked by circle lines). By inserting the twoport and threeport ILSRNs (marked by elliptical lines), extra virtual ports are introduced and the complex interconnections are converted into the standard onebyone case as in the hypothesis without changing the network’s characteristics. Also, we observe it is more advisable to replace the combination of two threeport ILSRNs by a single fourport ILSRN. Consequently, by inserting the ILSRNs, two arbitrary networks interconnected with arbitrary forms can be resolved with the standard algorithm as shown from (1) to (5). From (3), the scattering parameters at the remaining ports can be acquired. They contain the return loss, insertion loss, isolation, and phase distribution at each port, while the incident waves after the interconnection at the vanished ports can be obtained from (4). In this paper, just the incident waves will be utilized to calculate the excitation distribution of antenna elements when the antenna array is interconnected with a feeding network.
Antennas radiate electromagnetic waves towards the surrounding space with the coupling effects existing between the elements. As depicted in Figure 2, there are four kinds of energies at the th port, that is, incident waves, reflected waves, coupling waves, and accepted waves. According to the law of conservation of energy, the incident waves are split into the other three terms, where the reflected waves are returned into the feeding network, the coupling waves are transferred to the other elements, and the accepted waves are delivered to and consumed by the th element. They are satisfied bywhere , , , and state the incident power, reflected power, coupling power, and accepted power at the th port, respectively. Thus, the accepted power can be obtained byIn view of the phase factors of the incident waves () and the input impedance of the th element (), the complex power delivered to the th element iswhere and are the angles of the incident waves and the input impedance of the th element, respectively. In the array environment, suppose that the elements are similar and have the same radiation efficiencies and radiation impedances. Then, by considering the coupling effects, the complex amplitude excitation factor is given by
It should be noted that all the input ports have been already considered, and is obtained from (4) by considering the scattering matrices of both the feeding network and antenna array. Usually, all the elements are interconnected with the feeding network, and only one input port of the feeding network will be eventually remaining. In fact, the elements without excitations are terminated with open ends or matched loads, which can be treated as a part of the feeding network. In that case, it requires and , and (4) will be reduced toAnd then (17) can be expressed bywhere is a negligible constant.
A homemade program is developed in the environment of MATLAB to realize the interconnections of the generalized cascade scattering matrices. Firstly, the complex network is segmented into a set of ILSRNs and simple subnetworks, for example, short end, open end, matched load, transmission line, and transformer. The scattering matrices of these subnetworks can be easily acquired with the characteristic parameters. As to the complex and sensitive parts, they can be analyzed with commercial EM tools. Sometimes, these parts include various elements, and it is more advisable to measure them. And then, the simulated or measured matrices can be introduced into the network theory. As a result, by combining the network theory and a flexible method for the complex and sensitive parts, we can deal with most of microwave networks by the cascade scattering matrices. Secondly, all the ports are sequentially numbered, and then the interconnection relationships can be uniquely represented by a set of vectors. For instance, the vector of may indicate the interconnections of 13 and 24, where ports 1 and 2 come from a network while ports 3 and 4 come from another network. Thirdly, the scattering matrices of the ILSRNs and subnetworks together with the interconnection relationships are uploaded into the calculation procedure. Consequently, both the scattering parameters at the remaining ports and the excitation coefficients for antenna arrays can be obtained automatically by combining the subnetworks onebyone.
The calculation procedure has its merits in two aspects: (1) the complicated operations are performed on the computer, which sometimes is impossible by manual work, especially for the networks with bigger sizes; (2) the calculation procedure is more timesaving compared with the conventional simulation methods, which can be embodied in the optimization algorithms to seek the optimum parameters.
3. Applications
3.1. An Improved MagicT
MagicT is a kind of microwave equipment with four ports and allows incident signals to be combined or subtracted with welldefined relative phases. Generally, the typical ratrace coupler has a narrowband frequency response. Using the microstrip–slotline transition, Uyen et al. presented a broadband magicT by optimizing the physical parameters in the circuit simulation software [7, 8]. We find the results are not good enough and there is still some room to improve the magicT. Improvements have been done in two aspects: (1) the characteristic parameters, not the physical parameters, will be optimized with the homemade hybrid genetic algorithm; (2) the Harm, port1, and port2 are coplanerly placed on the top layer, while the Earm is placed on the bottom layer to decrease the intensive coupling effects with other ports, as shown in Figure 3. The equivalent circuit and decomposition circuit of the improved magicT are shown in Figure 4. It was found that there are seven nonstandard interconnections (marked by circle lines), which are replaced by the threeport ILSRNs (numbered by 123, 456, 789, 181920, 212223, 404142, and 434445, resp.). Besides, there are two transformers (numbered by 14151617 and 58596061, resp.), an open end (numbered by 68), and a group of transmission lines.
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The proposed techniques are adopted and the subnetworks are connected together. Numerical results indicate that the remaining ports will be the portE (numbered by 63), portH (numbered by 1), port1 (numbered by 4), and port2 (numbered by 7). In addition, the timecost is only 0.1 seconds, which makes it possible to have the calculation procedure embodied in the hybrid genetic algorithm to find optimum parameters satisfying the wideband demands [9]. The fitness function is defined bywhere is the observing frequencies ranging from 1 GHz to 2 GHz with steps of 0.05 GHz and , , and represent the reflection coefficients at portE, portH, and port1, respectively, while is the isolation between port1 and port2. After 100 generations, the optimization procedure is terminated and the optimized parameters are shown as follows: , , , , , , , , , , , , , , and . The optimized scattering parameters at the remaining ports are shown in Figure 5. It reveals that within a 40% bandwidth (1.2 GHz–1.8 GHz) the reflection coefficients at portH are better than −20 dB, while there are a wider bandwidth and more excellent impedance matching at portE and port1. Ports 12 isolations are better than 25 dB from 1.23 GHz to 1.74 GHz and better than 20 dB from 1.15 GHz to 1.81 GHz.
At 1.5 GHz, the optimized characteristic parameters are transformed into the physical dimensions, and the corresponding prototype is fabricated on the twolayer substrates as shown in Figure 6. The substrates are with the same relative dielectric constant of 6 and thickness of 1 mm. The prototype is simulated with the software of Ansoft HFSS and measured using a network analyzer. The simulated and measured results are both shown in Figure 7. Compared with the results in Figure 5, we find the optimized, simulated, and measured results agree well with each other. The measured return losses are better than 20.8 dB (1.08 GHz–1.82 GHz) at port1 and port2, while the values arrived at 20.6 dB (1.18 GHz–1.86 GHz) and 20 dB (1.25 GHz–1.82 GHz) at portE and portH, respectively. It provides inband insertion losses of 0.55 dB and 0.3 dB (1.2 GHz–1.9 GHz) at portE and portH, respectively. The difference is mainly due to the dissipated electromagnetic waves along the microstripslotline transition. Besides, the amplitude and phase imbalances are less than 0.25 dB and 1.5° (1 GHz2 GHz) at portE and portH, respectively. Ports 12 and EH isolations are better than 25 dB (1.29 GHz–1.85 GHz) and 34 dB (1 GHz2 GHz), respectively. Compared with the measured results in [8], our prototype has better frequency responses. In our work, within a similar relative bandwidth (40%), the return losses are better than 10.6 dB, 10 dB, 10 dB, and 11.8 dB at portE, portH, port1, and port2, respectively, while ports 12 isolations are better than 10 dB. In addition, the amplitude imbalance is one half of the result in [8], and the phase imbalance is slightly better in our work.
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3.2. Waveguide Slotted Arrays
Waveguide slotted antennas are an important class of microwave antenna with numerous applications in radar and communication systems. Elliott derived three famous formulas, which are still widely adopted nowadays [10–12]. Some computation methods were developed in [13–15]. The electromagnetic computation procedures operate well but usually are too sophisticated for most engineers. Morini et al. developed a strategy for the fullwave analysis of the waveguide slotted arrays, which is proved rigorously and able to deal with large arrays [16]. The core of the method is to segment the whole array into two regions: the “internal” and “external” one, where the internal one is connected together via generalized admittance matrices (GAMs), while the external one is analyzed by commercial or a homemade tool. The two regions are connected by “front plane,” which is analyzed by the moment method in terms of modes of slots [16].
There are similarities and differences between our work and [16]. This work is based on the generalized cascade scattering matrix. The waveguide slotted array is naturally divided into two parts: the feeding network and slotted array. The main task is to find the scattering matrices of the two parts. The feeding network can be segmented into a set of ILSRNs and waveguide transmission lines. The ILSRNs are employed to connect the waveguide transmission lines together and offer extra ports for connecting the corresponding radiating slots. It is suitable for both the standard and nonstandard waveguides (e.g., ridge waveguides and waveguides filled with dielectric mediums). The scattering matrix of the entire waveguide feeding network can be obtained by connecting the decomposed subnetworks of ILSRNs and waveguide transmission lines. As to the slotted array, the impedance and admittance matrices are more convenient to get than the scattering matrices. The radiation characteristics of a longitudinal slot in the broad face are determined by the slot length and the offset from the center of the waveguide. In this paper, the selfadmittance and resonant length of an isolated slot are extracted with the software of Ansoft HFSS. At a certain offset, by tuning the slot length to make the oneslot waveguide antenna resonant, the resonant selfadmittance of the isolated slot can be acquired byIt was found that the normalized admittances as a function of the slot length have similar variation trends for different offsets [17, 18]. Thus the nonresonant selfadmittances can be calculated via the interpolation method. As for the mutual impedances, the radiating slots are equivalent to the dipoles in terms of Babinet’s principle [19]. As shown in Figure 8, according to the induced electromotive force method [20], the mutual impedances of two parallel sidebyside dipoles can be evaluated bywhere
In the following, two typical linear waveguide slotted arrays (resonant and traveling wave arrays) are presented to illuminate the principle of the proposed techniques. They are both operated at 10 GHz with 12 slots and based on the standard rectangular waveguide of WR90, which has an inside dimension of 22.86 mm × 10.16 mm and a thickness of 1.27 mm. The longitudinal roundhead slots are located in the broad wall with a fixed width of 1.6 mm. Once the offsets and lengths of the radiating slots are determined, the impedance matrix of the slotted array will be obtained in terms of the abovementioned method. And then, the excitation distribution of the radiating slots can be acquired by connecting the scattering matrices of the feeding network and slotted array together. On the contrary, the offsets and lengths of the radiating slots can be synthesized with a desired excitation distribution, and they will be calculated according to the following steps.
Step 1. Initialize the offset and length of the last radiating slot.
Step 2. Find the offsets and lengths of the other radiating slots by minimizing the approximation errors of the calculated excitation distribution with respect to the desired one through optimization algorithms (e.g., genetic algorithm and hillclimbing algorithm).
Step 3. Check the calculated scattering parameters at the remaining ports. If the demands are not met, modify the offset and length of the last radiating slot and repeat Steps 2 and 3.
Step 4. Stop.
3.2.1. Resonant Array
The schemes of the resonant array (spaced at ) and its equivalent circuit are shown in Figure 9. The terminal short wall is replaced by a oneport network (). The aim of the array is to fulfill a −30 dB peak sidelobe level (PSLL) with a −30 dB Taylor illumination. According to the foregoing method, the slot parameters are obtained and listed in Table 1. To verify the accuracy of the proposed algorithm, the corresponding prototype is simulated. The calculated and simulated radiation patterns in the plane are both shown in Figure 10. We observe that the results agree well with each other even at the high elevation angles. A −30 dB PSLL is achieved as expected. In addition, the calculated and simulated reflection coefficients at the input port are and (−33.9 dB), respectively, which implies a good impedance matching at the input port.

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The prototype is fabricated and connected with a coaxialtowaveguide transducer, as shown in Figure 11. The reflection coefficients and the radiation pattern in the plane at 10 GHz are both measured, as seen in Figure 12. We observe that the measured results agreed well with the simulated or calculated ones. The measured reflection coefficients are better than −15 dB from 9.82 GHz to 10.21 GHz. At about 10 GHz, there is a small protuberance, which is mainly due to the coaxialtowaveguide transducer. It has been proved that the reflection coefficients of the coaxialtowaveguide transducer are better than −20.7 dB from 8.2 GHz to 12.4 GHz with the worst values around 10 GHz. In addition, we can find that the measured sidelobe levels are better than −28.7 dB, which is 1.3 dB higher than the desired value.
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3.2.2. Traveling Wave Array
The schemes of the traveling wave array (spaced at ) and its equivalent circuit are shown in Figure 13. Unlike the resonant array, there is an extra port to monitor the absorbed power by the terminal matched load. The aim is to fulfill a −25 dB PSLL (−25 dB Taylor illumination) and lower absorbed power (higher efficiency). Eventually, the calculated parameters are listed in Table 2 while the corresponding calculated and simulated radiation patterns are shown in Figure 14. We observe that the results of the radiation patterns agree well with each other. It shows that the calculated reflection and transmission coefficients are and , respectively, while the simulated ones are (−39.6 dB) and (an efficiency of 64.8%), respectively. The additional demand of the efficiency is considered here and finally a good result is reached.

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3.3. Microstrip Antenna Array
Without losing its generality, a twoelement microstrip antenna array (spaced at ) is shown in Figure 15. The substrate has a relative dielectric constant of 2.55 and thickness of 1 mm. The antenna unit operates at 5.725 GHz with the input impedance matched at 70 Ω to avoid a large insertion length on the microstrip patch. The twoelement array without the feeding network is simulated with the Ansoft HFSS and it shows that the scattering matrix (normalized at 70 Ω) at the two ports isIn the conventional design, the feeding network, in fact a power divider, should be matched at 70 Ω at the two antenna ports and matched at 50 Ω at the input port of the feeding network. In that case, line 1 will be a onefourthwavelength transmission line with characteristic impedance of 59.2 Ω to realize the impedance transformation from 50 Ω to 70 Ω, while line 2 is utilized to connect the power divider and antenna array with characteristic impedance of 70 Ω. As a result, the reflection coefficient at the input port will arrive at −12.1 dB. The mismatch comes from two aspects, the coupling effects of the antenna units and the bad isolations of the feeding network.
Unlike the waveguide slotted arrays, the twoelement array has a symmetrical configuration, and the excitation coefficients of antenna elements will be always equal. As a result, only the reflection coefficients are considered to decrease the mismatch at the input port. The equivalent circuit of the feeding network is constructed as shown in Figure 16. With the proposed techniques, the scattering matrices of the feeding network and the above simulated results of the twoelement array are connected together, and the calculation process is embodied into a hillclimbing algorithm to optimize the characteristic impedances and electrical lengths of lines 1 and 2 (, and ) with Ω. Finally, the optimized parameters are shown as follows: Ω, mm, mm, Ω, mm, and mm. In terms of the optimized parameters, the feeding network is designed, and the entire prototype of the twoelement array is simulated, fabricated, and measured. The photograph of the array and the results of the simulated and measured reflection coefficients are shown in Figures 17 and 18, respectively. The measured results show that the operation frequency has a slight excursion towards the lower frequencies. The main reason is that the relative dielectric constant of the substrate might be less accurate at such high frequencies. The reflection coefficient (−24.8 dB) has been improved greatly at the input port (normalized at 50 Ω) at 5.713 GHz.
4. Conclusion
We present an approach to resolve the complex interconnections of two arbitrary microwave networks by introducing the ILSRNs. It greatly facilitates the operations of generalized microwave cascade network and is suitable for computeraided procedures. The algorithm of the generalized cascade scattering matrix is expanded to the field of antenna arrays. The excitation coefficients of antenna arrays are calculated according to the incident waves, which are obtained by connecting the scattering matrices of the feeding network and antenna arrays through the proposed techniques. Quantitative analysis of the excitation coefficients is available for antenna arrays with consideration of the coupling effects. As a result, the characteristics of the microwave circuits and antenna arrays can be accurately predicted, and advanced modifications can be adopted to rectify the undesired characteristics. The proposed techniques are verified by the applications on the microwave circuits and antenna arrays. And they have a promising prospect for many similar applications.
Conflict of Interests
The authors declare that there is no conflict of interests regarding the publication of this paper.
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Copyright
Copyright © 2015 ShunFeng Cao et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.