Non-recursive FIR Band Pass Filter Optimization by Improved Particle Swarm Optimization

Sangeeta Mandal,S Chaitnya Shiva,Durbadal Mandal,Sakthi Prasad Ghoshal,Rajib Kar

doi:10.1007/978-3-642-27443-5_46

Sangeeta Mandal, S Chaitnya Shiva + Show 3 more

https://doi.org/10.1007/978-3-642-27443-5_46

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AbstractThis paper proposes a novel optimal design of linear phase digital band pass finite impulse response (FIR) filter using Improved Particle Swarm Optimization (IPSO) technique. IPSO is an improved particle swarm optimization (PSO) that proposes a new definition for the velocity vector and swarm updating and hence the solution quality is improved. Evolutionary algorithms like real code genetic algorithm (RGA), PSO, IPSO have been used here for the design of linear phase band pass FIR filter. A comparison of simulation results reveals the optimization efficacy of the algorithm over the prevailing optimization techniques for the solution of the multimodal, non-differentiable, highly non-linear, and constrained filter design problems.KeywordsParticle Swarm OptimizationFinite Impulse ResponseStop BandFinite Impulse Response FilterReal Code Genetic AlgorithmThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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