Research and Application of the Particle Swarm Optimization in Adaptive Notch Filter Design
Traditional adaptive notch filter based on the LMS algorithm is so serious affected by the step-size and other parameters that the learning curve isn’t very well. Inspired by analyzing effect of step-size in adaptive notch filter based on the LMS algorithm, the PSO algorithm is applied to design the adaptive notch filter for the first time in this paper. The PSO algorithm is not depended on any parameters. On the other hand, the PSO algorithm has many advantages of simplicity, computational efficiency, and good performance under a variety of operating conditions. The simulations shows that the adaptive notch filter based on the PSO algorithm is better than classic adaptive notch filter based on the LMS algorithm, convergence speed and the robustness. As a result, it is efficient and it has some value in the engineering.
Shi Haixia Zhang Jie
Department of Information&Electro Engineering Panzhihua University Sichuan Panzhihua of China,617000 Department of Control Engineering Chengdu University of Information Technology Sichuan Chengdu of Ch
国际会议
2009国际通信电路与系统学术会议(ICCCAS 2009)(2009 International Conference on Communications，Circuits and Systems)
成都
英文
446-449
2009-07-23（万方平台首次上网日期，不代表论文的发表时间）