Parameter optimization of 5.5 GHz low noise amplifier using multi-objective Firefly Algorithm

Abstract

This work presents an optimal design of low noise amplifier (LNA) using Firefly Algorithm (FA). In this work we have implemented FA in optimizing various parameters of LNA like linearity, Gain, Noise Figure (NF), input and output matching simultaneously satisfying all the constraint. Since there are five objectives to optimize, they can treated as multiobjective optimization. Weighted sum approach is used to convert these objectives into single objective function. Weights are given according to the priority of objective function. The designed LNA has a cascode structure with inductive source degeneration topology and is implemented and simulated in UMC 0.18 μm CMOS technology using CADENCE tool. The designed LNA has a simulated values: IIP3 of − 2.60 dBm, a gain of 22.15 dB and NF of 1.168 dB at 5.5 GHz frequency. The optimized value of LNA parameter using FA when simulated on MATLAB environment is found to be 0.356 dBm, 23.01, 1.24, − 26.56 and − 18.18 dB for IIP3, Gain, Noise Figure, input and output reflection coefficient, respectively. Results obtained from FA are also compared with Particle Swarm Optimization (PSO) and Cuckoo Search Algorithm (CSA). Results depicts the better performance of FA over PSO and CSA.