Parameter Extraction for Equivalent Circuit Model of RF Devices Based on a Hybrid Optimization Method

Abstract

One major difficulty of parameter extraction for an equivalent circuit lies in applying an optimization algorithm to efficiently approach the global minimum. Traditional genetic algorithm (GA) is able to find the global minimum but it has very low convergence rate. On the other hand, direct search method may be easily trapped in local minima. In this work, an improved parameter extraction method which is capable of effectively performing the global minimum search is proposed. This method combines GA and Powell’s method to efficiently determine circuit elements of an equivalent circuit model. A spiral inductor and an interdigital capacitor are used as design examples to illustrate the extraction procedure and validate the proposed hybrid method.

An intelligent control system for robot massaging with uncertain skin characteristics

“…In addition, a classical GA method is also tested, in which the population size is 30, the max iteration is 200, the cross and variation probabilities are 0.6 and 0.005, respectively (Guan et al , 2019). As shown in Table 3, the traditional PSO algorithm has the most iterations because of its random parameters setting.…”

Optimization techniques for analog and RF circuit designs: an overview

“…Model extractions, especially for RF applications, play an important role in optimizing circuits [103]. The equivalent [96] circuit modeling is presented in [104] that combines the genetic algorithm (GA) [105] with Powell's method to specify circuit elements of the equivalent model. In this method, firstly RF device is synthesized by using technology files then EM simulation is performed to the layout of the determined component such as inductor, to find S-parameter responses.…”