Design of Digital Low Pass Fir Fiter Using Hybrid Particle Swarm Optimization

This paper presents an optimal design of linear phase digital low pass finite impulse response (FIR) filter using hybrid particle swarm optimization (HPSO) technique where PSO has been hybridized with exploratory search technique. PSO is a simple, population based robust global search algorithm capable of handling large search space. Exploratory move is a gradient free deterministic algorithm, exploited as a local search technique. So the proposed Hybrid method calculates the optimal filter coefficients such that error function is minimized by exploring and exploiting search space globally as well as locally by employing exploratory move on global best particle. The simulation results show that the proposed method is superior to its counterparts at higher orders.