Design Of Linear Phase Band Pass Finite Impulse Response Filter Based On Modified Particle Swarm Optimization Algorithm

Othman Abdul Wahid, Nibras; Adil Ali, Ali; Subhi Abbod, Ali

	Design Of Linear Phase Band Pass Finite Impulse Response Filter Based On Modified Particle Swarm Optimization Algorithm
Al-Ma'mon College Journal
Article 1, Volume 0, Issue 31, 2018, Pages 214-238
Authors
Nibras Othman Abdul Wahid; Ali Adil Ali; Ali Subhi Abbod
Abstract
Digital filters are elementary elements of Digital Signal Processing (DSP) scheme since they are extensively employed in numerous DSP applications. Finite Impulse Response (FIR) digital filter design has multiple factor optimizing, in which the current optimizing method does not work proficiently. Swarm intelligence is a technique that forms the population of interrelated suitable agents or swarms for self-organization. A Particle Swarm Optimization (PSO) that stands for a populating and optimizing scheme with adaptively nonlinear functions in multidimensional space is a distinctive model of a swarm system. The goal of this study is to explain a scheme of designing Linear Phase FIR filter based on an improved PSO algorithm called Modified Particle Swarm Optimization (MPSO). The simulated outcomes of this paper demonstrate that the MPSO method is finer than the conformist Genetic Algorithm (GA) in addition to the standard PSO algorithm with extra fast convergence rate and superior performance of the designed 30th order band pass FIR filter. The FIR filter design by means of MPSO Algorithm is simulated using MATLAB programming language version 7.14.0.739 (R2012a).
Keywords
Modified Particle Swarm Optimization; FIR filter; Band Pass Filter; Evolutionary Optimization; Digital Signal Processing

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