Abstract: In signal processing ficld,disturbanee and noise signal often exists in the received signal. Adaptive notch filter, as one of the optimal filter, is the best structure to eliminate the low frequency interference. In this paper, the particle swarm optimization was applied to the adaptive notch filter, it can get useful signal by the adaptive algorithm to adjusting its weight and eliminating the low frequency interference. Then,a new PSO algorithm was proposed to improve the local convergence and the speed of convergence, the simulation results show that the algorithm is efficient and hasgood global optimization ability.

Key words: Particle swarm optimization, Adaptive notch filter, Optimal filter, Disturbance