Pole-Zero Identification: Unveiling the Critical Dynamics of Microwave Circuits Beyond Stability Analysis

The term pole-zero identification refers to obtaining the poles and zeros of a linear (or linearized) system described by its frequency response. This is usually done using optimization techniques (such as least squares, maximum likelihood estimation, or vector fitting) that fit a given frequency re...

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Bibliographic Details
Published in:IEEE microwave magazine Vol. 20; no. 7; pp. 36 - 54
Main Authors: Collantes, Juan-Mari, Mori, Libe, Anakabe, Aitziber, Otegi, Nerea, Lizarraga, Ibone, Ayllon, Natanael, Ramirez, Franco, Armengaud, Vincent, Soubercaze-Pun, Geoffroy
Format: Magazine Article
Language:English
Published: New York IEEE 01-07-2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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Summary:The term pole-zero identification refers to obtaining the poles and zeros of a linear (or linearized) system described by its frequency response. This is usually done using optimization techniques (such as least squares, maximum likelihood estimation, or vector fitting) that fit a given frequency response of the linear system to a transfer function defined as the ratio of two polynomials [1], [2]. This kind of linear system identification in the frequency domain has numerous applications in a wide variety of engineering fields, such as mechanical systems, power systems, and electromagnetic compatibility. In the microwave domain, rational approximation is increasingly used to obtain black-box models of complex passive structures for model order reduction and efficient transient simulation. An extensive bibliography on the matter can be found in [3]-[6]. In this article, we focus on a different application of pole-zero identification. We review the different ways in which pole-zero identification can be applied to nonlinear circuit design, for power-amplifier stability analysis, and more. We provide a comprehensive view of recent approaches through illustrative application examples. Other uses for rational-approximation techniques are beyond the scope of this article.
ISSN:1527-3342
1557-9581
DOI:10.1109/MMM.2019.2909516