Adaptive IIR phase equalizers based on stochastic search algorithms

Author

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

Author_Institution

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

Volume

1

fYear

2003

fDate

9-12 Nov. 2003

Firstpage

652

Abstract

Two well known optimization algorithms, the genetic algorithm (GA) and the simulated annealing algorithm (SAA), are investigated for IIR adaptive phase equalizers. For non-convex error surfaces, gradient-based algorithms often fail to find the global optimum. This work compares the ability of the GA and the SAA to achieve the global minimum solution for multi-order all-pass adaptive filters to be used for the phase equalization of minimum phase SAW filters.

Keywords

IIR filters; adaptive equalisers; adaptive filters; all-pass filters; genetic algorithms; gradient methods; simulated annealing; stochastic processes; surface acoustic wave filters; adaptive IIR phase equalizer; genetic algorithm; minimum phase SAW filter; multiorder all-pass adaptive filter; nonconvex error surface; simulated annealing algorithm; stochastic search algorithm; surface acoustic wave filter; Adaptive equalizers; Adaptive filters; Convergence; Costs; Genetic algorithms; IIR filters; Multiaccess communication; SAW filters; Simulated annealing; Stochastic processes;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 2004. Conference Record of the Thirty-Seventh Asilomar Conference on

Print_ISBN

0-7803-8104-1

Type

conf

DOI

10.1109/ACSSC.2003.1291992

Filename

1291992