DESIGN OF FIR FILTER USING PARTICLE SWARM OPTIMIZATION

Abstract: This paper presents an optimal design of digital low pass finite impulse response (FIR) filter using Particle Swarm Optimization (PSO). The design target of FIR filter is to approximate the ideal filters on the request of a given designing specifications. The traditional based optimization techniques are not efficient for digital filter design. The filter specification to be realized PSO algorithm generates the best coefficients and try to meet the ideal frequency response. Particle swarm optimization (PSO) proposes a new equation for the velocity vector and updating the particle vectors and hence the solution quality is improved. The PSO technique enhances its search capability that leads to a higher probability of obtaining the optimal solution. In this paper for the given problem the realization of the FIR filter has been performed. The simulation results have been performed by using the particle swarm optimization (PSO) method.

Keywords: FIR Filter, PSO, GA, Parks and McClellan (PM) Algorithm.