The application of particle swarm optimization to adaptive IIR phase equalization

被引：0
作者：
Krusienski, DJ [1 ]
Jenkins, WK [1 ]
机构：
[1] Penn State Univ, Dept Elect Engn, University Pk, PA 16802 USA
来源：
2004 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL II, PROCEEDINGS: SENSOR ARRAY AND MULTICHANNEL SIGNAL PROCESSING SIGNAL PROCESSING THEORY AND METHODS | 2004年
关键词：
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：
This paper investigates the application of particle swarm optimization techniques to infinite impulse response (IIR) adaptive phase equalizers. Particle swarm optimization (PSO) is similar to the genetic algorithm (GA) in that it utilizes a population based search suitable for optimizing multimodal error surfaces where gradient-based algorithms tend to fail, such as those generated by IIR adaptive filters. This paper will investigate PSO for the phase equalization of minimum phase surface acoustic wave (SAW) filters used in CDMA receivers.
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页码：693 / 696
页数：4
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