Optimal Design of Digital FIR Band Pass Filter using Lightning Attachment Procedure Optimization Algorithm

Abstract

The Lightning Attachment Procedure Optimization (LAPO) approach, a physical-based metaheuristic optimization tool, is used in this study to demonstrate the design of a digital finite impulse response (FIR) 20 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">th</sup> order band pass filter (BPF). In order to achieve the required ideal band pass filter response, the design aims to find such optimal filter coefficients that minimize their magnitude and phase errors. The simultaneous minimizing of pass band ripples and stop band ripples is a key component of filter design's objective function. The extensive simulation results and Wilcoxon rank-sum test at 99% level of confidence show how well the LAPO algorithm works in finding the optimal coefficients of the digital FIR BPF in comparison to the Cuckoo Search Algorithm (CSA) and Particle Swarm Optimization (PSO). For this design issue, the LAPO method achieves faster convergence than the CSA and PSO algorithms since it has no parameter adjustment.