Linear phase FIR filter design using particle swarm optimization and genetic algorithms

Authors:
Jehad I. Ababneh;Mohammad H. Bataineh
Affiliations:
Department of Electrical Engineering, Jordan University of Science and Technology, P.O. Box 3030, Irbid 22110, Jordan;Department of Communication, Hijjawi Faculty for Engineering Technology, Yarmouk University, Irbid, Jordan
Venue:
Digital Signal Processing
Year:
2008

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Abstract

In this paper, a linear phase FIR filter is designed using particle swarm optimization (PSO) and genetic algorithms (GA). Two design cases are considered. In the first case, the filter length, passband and stopband frequencies, and the ratio of the passband and stopband ripples size are specified. In the second case, a feasible passband and stopband ripples size in addition to the other three filter specifications are specified. The later situation is not explicitly considered by the Parks-McClellan (PM) algorithm. Furthermore, the PSO and the GA are used to design optimum FIR filters for which the filter coefficients are represented using finite word length. In all cases, the design goal is successfully achieved using the PSO and compared with that obtained using the GA. For the problem at hand, it is found that the PSO outperforms the GA in some of the presented design cases.