Optimal Design of FIR Filter Based on Improved Artificial Bee Colony Algorithm

Abstract

The optimal design of FIR filter is very important, and using artificial bee colony algorithm can optimize fir parameters, but it also has the disadvantages of slow convergence speed and easy to fall into local optimum. Therefore, an improved artificial bee colony algorithm is proposed in the paper, which introduced the random disturbance term of chi-square distribution and convergence operator. The improved algorithm is applied to the parameter optimization design of low-pass and band-pass FIR filters, and the design effect is remarkable, especially the filter has small ripple in the passband and stopband, flat amplitude, and good attenuation characteristics.