Design of Digital Filter Based on Artificial Bee Population Algorithm

Abstract

With the development of digital signal processing technology, higher requirements are put forward for the accuracy of digital filters. The accuracy of the digital filter has an important influence on the digital signal processing effect, which shows that the optimal design of the filter has practical significance. This paper studies the design of digital FIR filter based on artificial bee colony algorithm. The mathematical optimization model of the digital filter is constructed, in which the unit impulse response amplitude of the filter is used as the optimization variable, and the mean square error of the designed low-pass filter and the ideal low-pass filter is the optimization goal. The artificial bee colony algorithm is used to solve the optimization objective function of the filter, the flow chart and implementation steps are given, and the influence of the artificial bee colony algorithm parameters and the filter parameters on the design results is compared and analysed. The experimental results show that the artificial bee colony algorithm can effectively design the digital filter, and the optimized filter basically agrees with the amplitude-frequency response curve of the ideal filter.