Nature Inspired Optimization Technique for the Design of Band Stop FIR Digital Filter

  Dilpreet Kaur,  Balraj Singh

Abstract: This paper proposes an efficient optimization technique, called Predator Prey Optimization (PPO) for designing an optimal Band Stop FIR digital filter. PPO is a stochastic population based optimization technique that provides optimal filter coefficients and solves local stagnation problem of Particle Swarm Optimization (PSO) technique as the predator produces diversification and results into optimum solutions. PPO is capable of performing local as well as global search. The obtained simulation results show that PPO is superior to PSO. PPO provides robust FIR digital filter and optimizes the filter design by minimizing the value of design parameters that are magnitude errors, pass band ripples and stop band ripples.

Keywords- Key Words: Digital FIR filter, Predator Prey Optimization, L1-norm error〖 e〗_1 (x), L2-norm error〖 e〗_2 (x), Passband Ripples〖 δ〗_p (x) , Stop Band Ripplesδ_s (x).

Unique Identification Number - IJEDR1603081
Page Number(s) - 488-497
Pubished in - Volume 4 | Issue 3 | August 2016
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Dilpreet Kaur,  Balraj Singh,   "Nature Inspired Optimization Technique for the Design of Band Stop FIR Digital Filter", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.4, Issue 3, pp.488-497, August 2016, Available at :http://www.ijedr.org/papers/IJEDR1603081.pdf