Comparison of Various Fir Lowpass Filter Design Techniques with PSO Algorithm

Abstract: This paper presents an optimization technique for the design of optimal digital FIR low pass filter. The design of digital FIR Filters possible by solving a system of linear equations .In this paper we are using PSO (particle Swarm Optimization).PSO method is used to determine the frequency response of Digital FIR filters, consequently the optimal filter coefficients are obtained with fast convergence speed. PSO technique is purely random algorithm. PSO technique provides optimal filter coefficients such that error function is minimized when compared with the traditional FIR filter design techniques such as windowing techniques. The convergence speed of PSO is faster than the traditional FIR filter design techniques. Particle Swarm Optimization technique which has been applied in many areas such as function optimization, fuzzy system method and other areas.

Keywords: PSO, gbest, pbest, FIR, weighting factors