Analysis and optimization of noises of an analog circuit via PSO algorithms

Abstract

The strategy for analysis of noise generated in the analog circuit is presented here. Further, methodology for optimization of noise to improve the performance of the circuit using an optimization algorithm is defined. Presence of noise affects the performance of the circuit, thus in the design process, the analysis of the noise must be carefully carried out along with other performance parameters, such as—gain, power dissipation etc. Nature-inspired heuristic optimization algorithm has an ability to give acceptable approximate solution within a reasonable time. Thus, such optimization algorithm can be used to optimize the circuit performance parameters to improve the performance of the circuit. This paper proposed a methodology for modeling and analysis of flicker and thermal noises for common-source amplifier. Then using a standard particle swarm optimization (PSO) algorithm, inertia PSO (IPSO) and its two variants: human-based PSO (HBPSO) and aging leaders and challengers PSO (ALCPSO), optimization of noises are presented here. Pre-mature convergence is the main issue in standard PSO. To solve such problem, modified PSO, i.e. IPSO, HBPSO and ALCPSO are introduced.