Low power FIR filter design using modified multi-objective artificial bee colony algorithm

Inspite of the significance of the requirement of low power consumption, most of the existing techniques on FIR filter design have only concentrated on minimizing the ripples in pass band and stop band. In this regard the present work proposes an optimization based approach for filter design, which not only minimizes the pass band and stop band ripples but also aims at reducing the power consumption during filter execution. The tradeoff between pass band ripple, stop band ripple and power consumption avoids the use of the classical single objective based optimization approaches. Hence the filter design task has been framed as a multi-objective optimization problem and solved using a modified version of multi-objective artificial bee colony algorithm. The final solution obtained post convergence of the algorithm provides a set of optimal filters (Pareto front) which maintains a tradeoff between the multiple specifications. It allows the designer to choose a particular filter (coefficients) based on the requirement and/or application. The applicability of the proposed approach has been evaluated by comparing the ripples and power consumption with other state of the art evolutionary algorithms. In addition to the numerical results, the filters derived have been validated experimentally by implementing them in Vitex-7 FPGA.