关键词: 量子粒子群优化, 边界控制, F I R滤波器, 频率采样法, 最优解

Abstract: Considering the premature convergence problem in the conventional quantum particle swarm optimization (QPSO) algorithm, an improved method based on boundary control was proposed and was applied in finite impulse response (FIR) filter design with frequency sampling method. The specific implementation steps of the improved algorithm were presented. In contrast with look-up table method and QPSO algorithm, the simulation results of FIR low pass and band pass filter verified that the improved method could rapidly and effectively find the optimal sample value in the frequency sampling, and the pass band ripple became small and the minimum stop band attenuation became large. The efficiency of the improved QPSO algorithm was verified.

Key words: Quantum particle swarm optimization, Boundary control, FIR filter, Frequency sampling method, Optimal solution