Design of Practical Matching Networks With Lumped Elements Via Modeling

Abstract

It is a common practice to utilize commercially available software tools to design matching networks for wireless communication systems. Most of these tools require a properly selected matching network topology with good initial element values. Therefore, in this paper, a practical method is presented to generate matching networks with initial element values. In the implementation process of the proposed method first, the driving point immitance data for the matching network is obtained in a straight forward manner without optimization. Then, it is modeled as a realizable bounded-real input reflection coefficient which in turn yields the desired matching network with reasonable element values. Eventually, the initial design is improved by optimizing the performance of the matched system employing the commercially available computer-aided design (CAD) packages. An example is given to illustrate the utilization of the proposed method. It is shown that new method provides excellent results as a front-end when utilized together with CAD tools.

Real frequency techniques to design ultra wideband circuits

“…In these years, SRFT had also been employed to model measured data obtained from active and passive devices [41][42][43][44][45]. Recently, utilizing SRFT, we have completed several designs of multi-band antenna matching and switch networks for cellular communication systems [26][27][28].…”

“…Therefore, it is suitable to design antenna matching networks, as well as microwave amplifiers . When it is combined with modeling techniques [41][42][43][44][45], it yields outstanding solutions to any kind of matching problems. It should be mentioned that all the real frequency techniques are gathered in recently published books [52][53] …”

Design of broadband single matching networks

“…In broadband matching designs, it is desired to get maximum possible, flat transducer power gain in the passband. Almost in the all existing broadband matching methods [8][9][10][11], the designer must guess and supply this gain level to the algorithm, and free parameters are optimized until reaching to this level. On the other hand, by using analytic theory of broadband matching, this level can be calculated only for simple loads.…”

“…Like M-RFT, there is no need to define a desired gain level, the algorithm realizes the optimization to obtain transducer power gain fluctuating around the final available level in the passband as opposed to the existing other methods [8][9][10][11].…”

Design of distributed-element RF filters via reflectance data modeling

“…(2b)). In this context, the interpolation via fixed-point iteration [12] is introduced, which yields consistent triples of {g( ), h( ), f ( )} satisfying Eq. (2b).…”