An efficient reconfigurable FIR filter design with coefficient optimization using a modified bacterial foraging optimization algorithm

Abstract

ABSTRACT The digital filters play a significant role in the field of digital signal processing (DSP). The finite impulse response (FIR) filter is an attractive choice because of the ease of design and good stability. The digital filters have a wide variety of applications such as signal processing, control systems, telecommunication, etc. They are better than the analogue filters due to their performance. In recent times, software radios have achieved attention owing to requirements for integrated and reconfigurable communication systems. Hence, reconfigurations have emerged as a significant problem in the designs of FIRs. To match the frequencies of DSP applications, higher-order FIRs are required. If length of filters rises, addition and multiplication operations also increase. This paper proposes an efficient hardware design of RFIR that employs modified bacterial foraging optimizations (MBFOs) and common sub-expression eliminations (CSEs) in its executions. MBFOs output restricted counts of filter coefficients with sums of signed-power-of-two (SPT) terms while maintaining the quality of filtered responses. On obtaining coefficients, eliminations are executed by CSEs where hardware complexities are determined in terms of adders. Model sim software validated RFIRs using the Verilog code. The proposed design of RFIRs was compared with existing designs in terms of power usages, frequencies and areas.