FIR frequency sampling filters design based on adaptive particle swarm optimization algorithm

Authors:
Wanping Huang;Lifang Zhou;Jixin Qian;Longhua Ma
Affiliations:
Institute of Systems Engineering, Control Science and Engineering Department, Zhejiang University, Hangzhou;Institute of Systems Engineering, Control Science and Engineering Department, Zhejiang University, Hangzhou;Institute of Systems Engineering, Control Science and Engineering Department, Zhejiang University, Hangzhou;Institute of Systems Engineering, Control Science and Engineering Department, Zhejiang University, Hangzhou
Venue:
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part III
Year:
2005

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Abstract

Based on the study of Particle Swarm Optimization (PSO) on the mechanism of information communion, a new adaptive method of PSO is presented in this paper. This new adaptive method is to avoid the particles getting into local best solution during the optimization. By applying Adaptive Particle Swarm Optimization (APSO) to optimize transition sample values in FIR filter, the maximum stop band attenuation is obtained. The simulations of designing low-pass FIR have been done and the simulation results show that APSO is better than PSO not only in the optimum ability but also in the convergence speed.