The Fir Digital Filter Design based on Iwpso

Xinnan Hu,Kun Su,Yujia Wang

doi:10.14569/ijacsa.2015.060507

Abstract

The essence of finite impulse response (FIR) digital filter design is the problem of the parameter optimization. Namely the optimal parameters of FIR digital filter are the core of the design. In due to the traditional design method of FIR digital filter is not only accuracy not high but also sideband frequency is difficult to determine. Improve Weight Particle Swarm Optimization (IWPSO) to design FIR digital filter has less calculation and fast convergence speed. The simulation results also demonstrate that the IWPSO has better appro-ximation properties and band-pass characteristics. what’s more, the convergence of IWPSO algorithm made good results in filter design efficiency.

Highlights

finite impulse response (FIR) digital filter can change its amplitude frequency randomly and can guarantee accurate linear phase at the same time, it has bright research prospect
FIR digital filter is a basic computing unit of digital signal processing[1]and plays an important role in communication field and in the processing of digital signal
Particle swarm based on the swarm intelligence theory is an optimal algorithm developed by Eberhart[12]

Summary

INTRODUCTION

FIR digital filter can change its amplitude frequency randomly and can guarantee accurate linear phase at the same time, it has bright research prospect. The design method of FIR digital filters are mainly: window function method, Chebyshev and frequency sampling method etc. For the defects of traditional FIR digital filter, this paper will introduce particle swarm algorithm into the design of FIR digital filter. It will elaborate the process of the FIR digital filter design of using IWPSO. It draws the conclusion that IWPSO method has better approximation properties, algorithm convergence and optimal value by compare with traditional method and standard PSO algorithm.

THE OPTIMAL DESIGN OF FIR DIGITAL FILTER

THE OPTIMAL DESIGN OF FIR DIGITAL FILTER BASED ON IWPSO

The Illustration of IWPSO

SIMULATION AND ANALYSIS

CONCLUSION