Design of Digital Low Pass FIR Filter Using Hybrid Particle Swarm – Grey Wolf Optimization Algorithm

Year 2022, , 838 - 844, 30.12.2022

Çağrı Altıntaşı

https://doi.org/10.18185/erzifbed.1097138

Abstract

In this study, digital low-pass FIR filter is designed using Hybrid Particle Swarm – Grey Wolf Optimization Algorithm (HPSGWO). The purpose of digital FIR filter design with HPSGWO is to optimized filter coefficients that are closest to the characteristics of the ideal filter. The obtained results are compared with PSO, and GWO which were previously used for FIR filters design in the literature. According to the obtained results, HPSGWO has better filter response and less stop band ripple than other methods.

Keywords

Finite Impulse Response (FIR), Particle Swarm Optimization (PSO), Grey Wolf Optimizer(GWO), Hybrid Particle Swarm – Grey Wolf Optimization (HPSGWO).

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