An Improved Particle Swarm Optimization Algorithm for FIR Filter Design

被引：0
|
作者：
Xia Yuanhai [1 ]
机构：
[1] King Fahd Univ Petr & Minerals, Dept Elect Engn, Dhahran 31261, Ksa, Saudi Arabia
来源：
2013 IEEE 20TH INTERNATIONAL CONFERENCE ON ELECTRONICS, CIRCUITS, AND SYSTEMS (ICECS) | 2013年
关键词：
DIGITAL-FILTERS;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, an Improved Particle Swarm Optimization algorithm is introduced. Compared with conventional PSO, a new inertia weight mechanism is used to ensure the coverage and convergence at a better extent, considering the suboptimal solutions generated by conventional PSO when dealing with complex problems with lots of local minimas. The new mechanism divide the particles into two parts to enlarge coverage of search space and apply new decreasing algorithm to guarantee convergence. FIR filter design, whose results are very sensitive to parameters, is used to illustrate the effective impact of the new inertia weight mechanism.
引用
收藏
页码：261 / 264
页数：4
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