Optimal linear phase fir high pass filter design using PSOCFIWA-WM

Abstract

In this paper, an optimal design of linear phase digital high pass (HP) finite impulse response (FIR) filter has been proposed using Particle Swarm Optimization with Constriction Factor and Inertia Weight Approach and Wavelet Mutation (PSOCFIWA-WM). PSOCFIWA-WM incorporates a new definition of swarm updating in PSOCFIWA with the help of wavelet based mutation. Wavelet mutation enhances the PSOCFIWA to explore the solution space more effectively. In the design process, filter length, pass band and stop band edge frequencies, feasible pass band and stop band ripple sizes are specified. Other evolutionary algorithms like real coded genetic algorithm (RGA), particle swarm optimization (PSO), PSO with constriction factor and inertia weight approach (PSOCFIWA), and the proposed PSOCFIWA-WM have been used for the comparative design of linear phase FIR HP filter. A comparison of simulation results reveals the optimization superiority of the proposed technique over the other optimization techniques for the solution of FIR HP filter design.