The application of particle swarm optimization to adaptive IIR phase equalization

D. J. Krusienski, W. K. Jenkins

Research output: Contribution to journalConference articlepeer-review

18 Scopus citations

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

Original languageEnglish (US)
Pages (from-to)II693-II696
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume2
StatePublished - Oct 7 2004
EventProceedings - IEEE International Conference on Acoustics, Speech, and Signal Processing - Montreal, Que, Canada
Duration: May 17 2004May 21 2004

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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