Title: An application of swarm intelligence for the design of IIR digital filters

Authors: Ranjit Singh Chauhan; Sandeep Kumar Arya

Addresses: Department of Electronics and Communication Engineering, JMIT Radaur, Dist. Yamuna Nagar, Haryana 135133, India ' Department of Electronics and Communication Engineering, Guru Jambheshwar University of Science and Technology, Hisar, Haryana 125001, India

Abstract: This paper presents the swarm intelligence (SI)-based particle swarm optimisation (PSO) in context of designing infinite-impulse response (IIR) digital filters. IIR filters are the part of digital filters with recursive responses. Since the error surface of IIR digital filters is generally non-linear and multimodal, global optimisation techniques are required in order to avoid local minima. The particle swarm optimisation algorithm is then applied for calculating optimal coefficients of IIR digital filters and comparison is done preferably with filter design tool and other heuristic techniques. The simulation results of benchmark filter are discussed in this paper and can be efficiently used for IIR digital filter design.

Keywords: digital signal processing; DSP; IIR digital filters; infinite-impulse response; genetic algorithms; GAs; simulated annealing; swarm intelligence; particle swarm optimisation; PSO; filter design; simulation.

DOI: 10.1504/IJSI.2013.055799

International Journal of Swarm Intelligence, 2013 Vol.1 No.1, pp.3 - 18

Received: 11 Feb 2012
Accepted: 01 Oct 2012
Published online: 05 Jul 2014 *

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