A Novel method to Design FIR Digital Filter Using Whale Optimization

This research work is about designing 20
^th
order digital Finite impulse response filters of types low pass, high pass, band pass and band stop. Whale optimization algorithm (WOA) is utilized in designing the said filter by reducing the deviation of the frequency response of the designed filter from the ideal filter frequency response. The strategy is to get those optimal filter coefficients for which the difference in frequency responses is minimum. Some statistics have been used to compare the performance of WOA based digital filter with Cat Swarm Optimization (CSO) and Particle Swarm Optimization (PSO) based FIR filters in terms of pass band and stop band attenuation (dB) and ripples value in both the band of filter. It is observed that WOA based digital FIR filter have reduced ripples from 25 to 40 percent in both bands and have maximum attenuation in stop band.