Optimization of FIR Filter Parameters using Particle Swarm Optimization Technique
Authors:JYOTI KUMARI, DEEPAK NAGARIA
Authors:JYOTI KUMARI, DEEPAK NAGARIA
Abstract: In signal processing, there are many extra unnecessary content in I/p signal which can reduce the quality of system
service. This paper presents an approach for optimization of fir filter parameters using PSO algorithm. Here the concept of
optimization is minimizing the maximum error between desired and actual response. The proposed PSO technique is capable of
achieving better performance for the filter design.
Keywords: LP FIR Filter, PSO Algorithm, Remez Exchange Algorithm.
INTRODUCTION
Digital filters are used in wide variety of applications
from signal processing, aerospace, control system,
telecommunication, system for audio and video processing.
Basically a filters refers to a frequency selective device
which extracts the useful portion of input signal lying within
its operating frequency range. Evolutionary optimization
technique as GA, Tagauchi Method, ABC, RGA are
implemented for the design of optimum digital filters. These
approaches providing better control on performance
parameters. This paper present the approach of one of
evolutionary technique called PSO for design of digital
filters with better parameters control and to better
approximate the ideal filter. In Signal processing, there are
many extra unnecessary content in input signal which can
degrade which can degrade the quality of system. This paper
presents an approach for optimization FIR Filter parameters
using PSO. FIR Filter design is a multimodal optimization
problem. Here the concept of minimization of error between
actual response and desired response. It minimizes the
maximum error between desired and actual response. the
basic idea in this method is to design the filter coefficients
again and again until a particular error is minimized. The
proposed technique is capable of achieving better
performance for the filter.
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