MVO Based Optimal Design of Stable IIR HPF and Its FPGA Implementation

Abstract

Multi-verse Optimization (MVO) algorithm is a nature-based meta-heuristic approach which follows the idea of cosmology which is utilized for 10th order High pass infinite impulse response filter design. These nature-based optimization techniques are considered for the optimal solution of High pass IIR filter coefficients. The error cost function is utilized in order to attend better solution parameters in the manner of stop band attenuation, pass band ripples (PBR), transition width (TW) and stop band ripples (SBR). The proposed optimizing technique is able to provide rapid convergence towards a global optimal solution. The optimized coefficients which are achieved by the optimization algorithm are employed for the IIR High Pass Filter (HPF) design in the platform of field programmable gate array (FPGA) with Verilog.