基于频率采样技术的FIR数字滤波器的优化设计

Optimization Design of FIR Digital Filter Based on Frequency Sampling Technique

提出了基于频率采样技术,以阻带衰减和通带波动的比值作为优化目标,通过对过滤带插值的优化处理,利用粒子群优化算法的全局寻优能力进行FIR滤波器的设计。实验结果说明,通过提出算法设计的FIR滤波器的性能较传统设计方法有较大的提高。

A optimization design method of FIR digital filter based on frequency sampling technique realized by particle swarm optimization (PSO) is proposed. The rate of the ripples in pass-band to the attenuation in stop-band is regrded as optimization goal; through optimizing the interpolation of transition on band, the algorithm is designed by the global optimized capability of PSO. Experimental results have shown that the performance of the FIR filters designed by this algorithm is better than that of traditional methods.