DOIONLINE

DOIONLINE NO - IJEEDC-IRAJ-DOIONLINE-16399

Publish In
International Journal of Electrical, Electronics and Data Communication (IJEEDC)-IJEEDC
Journal Home
Volume Issue
Issue
Volume-7,Issue-10  ( Oct, 2019 )
Paper Title
An Efficient Design of FIR Filter by using Improved Particle Swarm Optimization Algorithm
Author Name
Akhil A. Banpurkar
Affilition
Department of Electronics and Telecommunication, National Institute of Technology, Raipur, India
Pages
34-40
Abstract
In this paper, design band pass finite impulse response (FIR) filter using Improved Particle Swarm Optimization Algorithm. The filter determination is to be realized PSO algorithm produces the best coefficients and attempt to meet the ideal frequency response. Particle swarm optimization (PSO) proposes a condition for the velocity vector and updated particle position. Improved Particle Swarm Optimization (IPSO) is a improved PSO that propose global search ability of the PSO is especially enhanced with help of modified fitness function and solution quality is also improved. In the design process, feasible pass band and stop band ripple sizes is specified. A comparison of simulation results reveals the optimization efficiency of the improved PSO algorithm over the PSO optimization technique for the solution of the multimodal, non-differentiable, highly non-linear filter design issues. Keywords - Band-Pass Filter, FIR Filter, Optimization, PSO, IPSO
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