中图分类号： TN911
文献标识码： A
DOI：10.16157/j.issn.0258-7998.201003
中文引用格式： 张书玉，王婷. FIR数字滤波器的智能优化算法设计综述[J].电子技术应用，2021，47(5)：29-34.
英文引用格式： Zhang Shuyu，Wang Ting. Overview of intelligent optimization algorithm design of FIR digital filter[J]. Application of Electronic Technique，2021，47(5)：29-34.

Overview of intelligent optimization algorithm design of FIR digital filter

Abstract： This article summarizes the intelligent optimization algorithm of finite impulse response digital filter(FIR). The main idea of optimization design is to transform the digital filter design problem into the error function minimization problem. Compared with the traditional methods, this method is easier to determine the boundary frequencies of the pass-band and stop-band, to reduce the computational complexity and the errors of amplitude frequency response both in pass-band and stop-band. This paper analyzes and compares the characteristics of genetic，evolution，and particle swarm algorithms in the design of FIR digital filters from the perspectives of convergence speed, pass-band ripple，and stop-band attenuation. It focuses on the improvement strategy of the weight of inertia in particle swarm algorithm.

Key words : FIR digital filter；intelligent algorithm；filter design；optimization；error function