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

  • Sangeeta Mandal
  • Sakthi Prasad Ghoshal
  • Rajib Kar
  • Durbadal Mandal
  • S. Chaitnya Shiva
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 132)


This 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.


Particle Swarm Optimization Finite Impulse Response Stop Band Finite Impulse Response Filter Real Code Genetic Algorithm 
These 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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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Sangeeta Mandal
    • 1
  • Sakthi Prasad Ghoshal
    • 1
  • Rajib Kar
    • 2
  • Durbadal Mandal
    • 2
  • S. Chaitnya Shiva
    • 2
  1. 1.Department of Electrical Engg.National Institute of TechnologyDurgapurIndia
  2. 2.Department of Electronics and Communication EngineeringNational Institute of TechnologyDurgapurIndia

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