Optimal linear phase finite impulse response band pass filter design using craziness based particle swarm optimization algorithm |
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Authors: | Mandal Sangeeta Prasad Ghoshal Sakti Kar Rajib Mandal Durbadal |
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Institution: | [1]Department of Electrical Engineering [2]Department of Electronics and Communication Engineering, National Institute of Technology, Durgapur 713209, West Bengal, India |
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Abstract: | An efficient method is proposed for the design of finite impulse response (FIR) filter with arbitrary pass band edge, stop
band edge frequencies and transition width. The proposed FIR band stop filter is designed using craziness based particle swarm
optimization (CRPSO) approach. Given the filter specifications to be realized, the CRPSO algorithm generates a set of optimal
filter coefficients and tries to meet the ideal frequency response characteristics. In this paper, for the given problem,
the realizations of the optimal FIR band pass filters of different orders have been performed. The simulation results have
been compared with those obtained by the well accepted evolutionary algorithms, such as Parks and McClellan algorithm (PMA),
genetic algorithm (GA) and classical particle swarm optimization (PSO). Several numerical design examples justify that the
proposed optimal filter design approach using CRPSO outperforms PMA and PSO, not only in the accuracy of the designed filter
but also in the convergence speed and solution quality. |
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