Published March 30, 2021 | Version CC BY-NC-ND 4.0
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Digital FIR Filter Design by PSO and its variants Attractive and Repulsive PSO(ARPSO) & Craziness based PSO(CRPSO)

Creators

  • 1. Institute of Information and Communication Technologies Mehran UET, Jamshoro, Pakistan
  • 2. Department of Electronic Engineering, Mehran UET Jamshoro, Pakistan.
  • 3. School of Information Technology and Engineering, Melbourne Institute of Technology, Melbourne, Australia. Department of Electronic Engineering, Mehran UET Jamshoro, Pakistan
  • 4. School of Information Technology and Engineering, Melbourne Institute of Technology, Victoria, Australia.
  • 5. Haptics Human Robotics and Condition Monitoring Lab, Mehran UET Jamshoro, Pakistan.

Contributors

Contact person:

  • 1. Institute of Information and Communication Technologies Mehran UET, Jamshoro, Pakistan.

Description

Abstract: Digital filters play a major role in signal processing that are employed in many applications such as in control systems, audio or video processing systems, noise reduction applications and different systems for communication. In this regard, FIR filters are employed because of frequency stability and linearity in their phase response. FIR filter design requires multi-modal optimization problems. Therefore, PSO (Particle Swarm Optimization) algorithm and its variants are more adaptable techniques based upon particles’ population in the search space and a great option for designing FIR filter. PSO and its different variants improve the solution characteristic by providing a unique approach for updating the velocity and position of the swarm. An optimized set of filter coefficient is produced by PSO and its variant algorithms which gives the optimized results in passband and stopband. In this research paper, Digital FIR filter is effectively designed by using PSO Algorithm and its two variants ARPSO and CRPSO in MATLAB. The outcomes prove that the filter design technique using CRPSO is better than filter design by PM algorithm. PSO and ARPSO Algorithms in the context of frequency spectrum and RMS error

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Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP) © Copyright: All rights reserved.

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Journal article: 2277-3878 (ISSN)

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Subjects

ISSN: 2277-3878 (Online)
https://portal.issn.org/resource/ISSN/2277-3878
Retrieval Number: 100.1/ijrte.F5515039621
https://www.ijrte.org/portfolio-item/F5515039621/
Journal Website: www.ijrte.org
https://www.ijrte.org/
Publisher: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP)
https://www.blueeyesintelligence.org/