Efficient FIR filter designs using constrained genetic algorithms based optimization

In this work, an application of constrained genetic algorithm (CGA) based optimization approach has been explored for design of low pass and high pass finite impulse response (FIR) digital filters. To accomplish the task of optimal filter design, a novel constraint function has been proposed and integrated with the fitness function in CGA environment. CGA minimizes the fitness function under supervision of the proposed constraint. Performances of designed FIR digital filters have been compared with the recently published designs of same order and the intensive MATLAB simulations based investigations have confirmed the superiority of the proposed designs in terms of smaller pass band and stop band ripples.

[1]  A. Ayatollahi,et al.  FIR Digital Filters Design: Particle Swarm Optimization Utilizing LMS and Minimax Strategies , 2008, 2008 IEEE International Symposium on Signal Processing and Information Technology.

[2]  Sakti Prasad Ghoshal,et al.  Cat Swarm Optimization algorithm for optimal linear phase FIR filter design. , 2013, ISA transactions.

[3]  J. McClellan.  Chebyshev approximation for non-recursive digital filters , 1972 .

[4]  L. Litwin.  FIR and IIR digital filters , 2000 .

[5]  Sakti Prasad Ghoshal,et al.  Design of optimal linear phase FIR high pass filter using craziness based particle swarm optimization technique , 2012, J. King Saud Univ. Comput. Inf. Sci..

[6]  Ranjit Singh Chauhan,et al.  An Optimal Design of FIR Digital Filter Using Genetic Algorithm , 2011, IC3.

[7]  L. Rabiner,et al.  A computer program for designing optimum FIR linear phase digital filters , 1973 .

[8]  Sakti Prasad Ghoshal,et al.  Design and simulation of FIR band pass and band stop filters using gravitational search algorithm , 2013, Memetic Comput..

[9]  T. W. Parks,et al.  Digital Filter Design , 1987 .

[10]  Nurhan Karaboga,et al.  Design of Digital FIR Filters Using Differential Evolution Algorithm , 2006 .

[11]  Ganesh K. Venayagamoorthy,et al.  Particle Swarm Optimization with Quantum Infusion for the design of digital filters , 2008, 2008 IEEE Swarm Intelligence Symposium.

[12]  S. Mondal,et al.  Novel particle swarm optimization for high pass FIR filter design , 2012, 2012 IEEE Symposium on Humanities, Science and Engineering Research.

[13]  Sakti Prasad Ghoshal,et al.  Seeker optimisation algorithm: application to the design of linear phase finite impulse response filter , 2012, IET Signal Process..

[14]  Frédéric Ros,et al.  An efficient hybrid genetic algorithm to design finite impulse response filters , 2014, Expert Syst. Appl..

[15]  Jehad I. Ababneh,et al.  Linear phase FIR filter design using particle swarm optimization and genetic algorithms , 2008, Digit. Signal Process..