FPGA implementation of hybrid Namib beetle and battle royale optimization algorithm fostered linear phase finite impulse response filter design

Abstract

Nowadays, low complexity analysis is important for the better digital filter design. Although the linear phase finite impulse response (LPFIR) filter design requires less array complexity, existing methods are purely intended to attenuate both passband and stopband ripples. The main objective is to achieve a less complex design, which reduces deployment complexity and equipment cost. Therefore, in this manuscript, the FPGA Implementation of optimization-dependant LPFIR Filter design utilizing hybrid Namib beetle and battle royale optimization algorithm (HNBOA-LPFIR) is proposed. The proposed HNBOA-LPFIR filter design reduces waves of both pass bands and stop band. The transition bandwidth for deploying an LPFIR filter that follows the designated frequency reduces the sparsity. The superiority of filter design has the optimal outcome which conserves the exchange between the several specifications. The proposed HNBOA-LPFIR Filter design is simulated in Xilinx ISE14.7 (Virtex7) environment. The proposed HNBOA-LPFIR Filter methods are executed at FPGA and the efficiency of proposed HNBOA-LPFIR method is estimated with the help of performance metrics. The proposed HNBOA-LPFIR method provides 18.13%, 19.53%, 20.73% lower pass band ripples, 17.19%, 18.28%, 19.83% lower stop band ripple, 19.53%, 18.78%, 20.73% lower transition band when compared to the existing methods: Multi objective FIR filter design utilizing Salp swarm approach and its improved version (SSOA-FIR), Design and analysis of Linear Phase Finite Impulse Response filter utilizing Water Strider Optimization Approach at FPGA (WSOA-LPFIR), Optimal model of digital FIR filter based upon Grasshopper Optimization Approach (GHOA-DFIR) respectively.