A GA-based optimization scheme for extracting the equivalent-circuit models of spiral inductors embedded in a multilayer structure
In this article, we present a parameter extraction approach for deriving the equivalent lumped-element model of spiral inductors embedded in a multilayer structure by using the genetic algorithm (GA). In many RFIC applications, it is very important to achieve an inductor with a good quality factor (Q), and this depends on several interdependent parameters, such as the spiral width, spacing, number of turns, inner radius, and so forth. The effects of varying the spiral width, spacing, inner radius, conductor thickness, and insulator thickness on the parameters of interest, namely, inductance and Q, are investigated using the proposed method and a guideline to design an inductor with a maximum quality factor is presented. (C) 2004 Wiley Periodicals, Inc.
spiral inductor genetic algorithm (ga) quality factor (q) equivalent circuits