摘要： 提出一种采用微粒群优化算法计算可变分数延迟滤波器的全局鲁棒最优解方法，可变分数延迟滤波器采用Farrow结构，其中各子滤波器为系数固定的FIR滤波器。算法分为2级运算：第1级中使用低维微粒递归计算各子滤波器系数，提高了收敛速度；第2级通过全局优化得到滤波器设计结果。仿真结果表明，该可变分数延迟滤波器具有较好的频率响应特性。

关键词: 可变分数延迟, Farrow结构, 微粒群优化

Abstract: An approach to compute the global and robust optimal Variable Fractional Delay(VFD) filters based on Particle Swarm Optimization(PSO) is developed. A variable fractional delay filter is based on the Farrow structure which is comprised of a set of FIR sub-filters with invariable coefficients. The approach has two stages: in the first stage only the particles with much smaller dimension are invoked to recursively compute the coefficients of each sub-filter and accelerate the convergent speed; in the second stage, the results are yielded by global optimization. Experimental results demonstrate the effectiveness of the proposed approach in frequency responses.

Key words: Variable Fractional Delay(VFD), Farrow structure, Particle Swarm Optimization(PSO)

中图分类号: 

• TN911.7