NDLI: Swarm intelligence based optimal linear fir high pass filter design using Particle Swarm Optimization with Constriction Factor and Inertia Weight Approach

Content Provider	IEEE Xplore Digital Library
Author	Mandal, S. Ghshal, S.P. Kar, R. Mandal, D. Shivare, A.
Copyright Year	2011
Description	Author affiliation: Department of Electrical Engg. Engineering, National Institute of Technology, Durgapur, West Bengal, INDIA (Mandal, S.; Ghshal, S.P.) \|\| Department of Electronics and Communication Engineering, National Institute of Technology, Durgapur, West Bengal, INDIA (Kar, R.; Mandal, D.; Shivare, A.)
Abstract	In this paper, an optimal design of linear phase digital high pass finite impulse response (FIR) filter using Particle Swarm Optimization with Constriction Factor and Inertia Weight Approach (PSO-CFIWA) has been presented. In the design process, the filter length, pass band and stop band frequencies, feasible pass band and stop band ripple sizes are specified. FIR filter design is a multi-modal optimization problem. The conventional gradient based optimization techniques are not efficient for digital filter design. Given the filter specifications to be realized, the PSO-CFIWA algorithm generates a set of optimal filter coefficients and tries to meet the ideal frequency response characteristic. In this paper, for the given problem, the designs of the optimal FIR high pass filters of different orders have been performed. The simulation results have been compared to those obtained by the well accepted algorithms such as Parks and McClellan algorithm (PM), genetic algorithm (GA). The results justify that the proposed optimal filter design approach using PSO-CFIWA outperforms PM and GA, not only in the accuracy of the designed filter but also in the convergence speed and solution quality.
Starting Page	352
Ending Page	357
File Size	704774
Page Count	6
File Format	PDF
ISBN	9781467300995
e-ISBN	9781467301022
DOI	10.1109/SCOReD.2011.6148764
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-12-19
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis PSO-CFIWA IIR filters FIR Filter Evolutionary Optimization Technique PSO Optimization Genetic algorithms Convergence Parks and McClellan Algorithm Filtering algorithms Finite impulse response filter Magnitude Response High Pass Filter
Content Type	Text
Resource Type	Article

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