Hybrid evolutionary approach to optimal design of CMOS LNA integrated circuits

Abstract

In this work we propose a hybrid intelligent circuit optimization technique for low noise amplifier (LNA) circuit. This method combines with the genetic algorithm (GA), Levenberg-Maxquardt (LM) method, and circuit simulator to perform automatic LNA circuit optimization. For a given LNA circuit, the optimization method considers the electrical specification such as S parameters: S-11, S-12, S-21, S-22, K factor, the noise figure, and the input third-order intercept point, simultaneously. The optimization procedure starts with loading the necessary parameters for circuit simulation, and then calls the circuit simulator for circuit simulation and evaluation. Sixteen optimized parameters of the LNA circuit composed with 0.18 mu m metal-oxide-silicon filed effect transistors (MOS-FETs) are acquired by our developed optimization prototype, where the aforementioned seven specifications axe all matched. The proposed circuit optimization method shows its robustness and practicability on radio-frequency (RF) circuit and wireless system on chip (SoC) design.