Design of Linear Phase Band Stop Filter Using Fusion Based DEPSO Algorithm

Abstract

This manuscript prepares a modern hybrid technique by combining the usual particle swarm optimization (PSO) technique with differential evolution (DE) technique, named as fusion based differential evolution particle swarm optimization (DEPSO) in order to enhance the global search abilities, while solving impulse response of linear phase digital band stop filter. The linear phase band stop filter is mostly considered as a nonlinear multimodal problem. The DEPSO is a heuristic based global search method modelled on considering the advantages of both of the methods to enhance the superiority of result and convergence speed. The performance of the intended DEPSO based approach has been contrasted with few renowned optimization techniques such as PSO, comprehensive learning PSO (CLPSO), craziness based PSO (CRPSO) and DE. The proposed DEPSO based result confirms the supremacy of solving design problems of FIR filters.