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The Design of IIR Digital Filter Based on Chaos Particle Swarm Optimization Algorithm

机译:基于混沌粒子群优化算法的IIR数字滤波器设计

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摘要

This paper discusses the IIR digital filter design based on the chaos particle swarm optimization algorithm (CPSO). CPSO algorithm not only maintains the feature of simple structure, but also improves PSO algorithm global optimization capability, and enhances the convergence speed and accuracy of the algorithm. The simulation results of the low-pass and band-pass filter design show that the IIR digital filter can be designed with good performance using the CPSO algorithm and the precision and the iterative count compared with PSO have been improved greatly.
机译:本文讨论了基于混沌粒子群优化算法(CPSO)的IIR数字滤波器设计。 CPSO算法不仅维持了简单结构的特征,还可以提高PSO算法全局优化能力,增强算法的收敛速度和准确性。低通和带通滤波器设计的仿真结果表明,使用CPSO算法和PSO相比,IIR数字滤波器可以设计具有良好的性能,并且与PSO相比已经大大提高了迭代计数。

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