The application of particle swarm optimization to adaptive IIR phase equalization

Author

Krusienski, D.J. ; Jenkins, W.K.

Author_Institution

Dept. of Electr. Eng., Pennsylvania State Univ., University Park, PA, USA

Volume

2

fYear

2004

fDate

17-21 May 2004

Abstract

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 investigates PSO for the phase equalization of minimum phase surface acoustic wave (SAW) filters used in CDMA receivers.

Keywords

IIR filters; adaptive equalisers; code division multiple access; genetic algorithms; mobile radio; radio receivers; search problems; surface acoustic wave filters; CDMA receivers; GA; PSO; SAW filters; adaptive IIR phase equalization; adaptive phase equalizers; genetic algorithm; infinite impulse response; minimum phase filters; multimodal error surface optimization; particle swarm optimization; population based search; surface acoustic wave filters; Acoustic waves; Adaptive equalizers; Adaptive filters; Finite impulse response filter; IIR filters; Particle swarm optimization; SAW filters; Signal processing algorithms; Stochastic processes; Surface acoustic waves;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on

ISSN

1520-6149

Print_ISBN

0-7803-8484-9

Type

conf

DOI

10.1109/ICASSP.2004.1326352

Filename

1326352