5GHz MMIC LNA Design Using Particle Swarm Optimization

Low Wen Shin,Arjuna Marzuki

doi:10.22610/imbr.v5i6.1050

Abstract

This research presents an optimization study of a 5 GHz Monolithic Microwave Integrated Circuit (MMIC) design using Particle Swarm Optimization (PSO). MMIC Low Noise Amplifier (LNA) is a type of integrated circuit device used to capture signal operating in the microwave frequency. This project consists of two stages: implementation of PSO using MATLAB and simulation of MMIC design using Advanced Design System (ADS). PSO model that mimics the biological swarm behavior is developed to optimize the MMIC design variables in order to achieve the required circuit performance and specifications such as power gain, noise figure, drain current and circuit stability factor. Simulation results show that the proposed MMIC design fulfills the circuit stability factor and achieves a power gain of 19.73dB, a noise figure of 1.15 dB and a current of 0.0467A.

Highlights

Monolithic Microwave Integrated Circuit (MMIC) is a type of integrated circuit (IC) device that operates at microwave frequencies of 300 MHz to 300 GHz
According to (Lucek and Damen, 1999; Yang et al, 2009), power gain noise figure are crucial parameters for Low Noise Amplifier (LNA) design and nonlinear distortion will be produced if gain, stability and noise are not fulfilled by the designed LNA
MATLAB-based Particle Swarm Optimization (PSO) integrates with the Advanced Design System (ADS) circuit simulator to assist the design of the MMIC LNA

Summary

Introduction

Monolithic Microwave Integrated Circuit (MMIC) is a type of integrated circuit (IC) device that operates at microwave frequencies of 300 MHz to 300 GHz. According to (Lucek and Damen, 1999; Yang et al, 2009), power gain noise figure are crucial parameters for LNA design and nonlinear distortion will be produced if gain, stability and noise are not fulfilled by the designed LNA In this project, PSO (Particle Swarm Optimization) is used to optimize the 5 GHz MMIC LNA. Instead of using genes and chromosomes in GAs, the variables in PSO are designated as particles with multi-dimensional hyperspace These particles search through the hyperspace, finding the global minima/maxima with the movement governed by a mathematical equation. In this project, MATLAB is used to develop the PSO model for optimizing the MMIC LNA. The proposed integration aims to fulfill the MMIC LNA design specifications and constraints in terms of power gain (dB(S (2, 1)), noise figure (NFmin_out), drain current (ID), and two circuit stability factors (mu_load & mu_source)

MMIC LNA DESIGN

PSO FOR MMIC DESIGN

Result and Discussion

Conclusion