Title :
Genetic algorithms for adaptive phase equalization of minimum phase SAW filters
Author :
Hegde, V. ; Pai, S. ; Jenkins, W.K. ; Wilborn, T.B.
Author_Institution :
Dept. of Electr. Eng., Pennsylvania State Univ., University Park, PA, USA
fDate :
Oct. 29 2000-Nov. 1 2000
Abstract :
This paper investigates the capability of the genetic algorithm to achieve convergence to the global minimum for a multi-section all-pass IIR adaptive filter used for digital receiver phase equalization. The effect of population size and mutation rate on the performance of the algorithm is considered. Adaptive crossover and mutation probabilities are used to improve the performance of the algorithm.
Keywords :
IIR filters; adaptive equalisers; adaptive filters; all-pass filters; convergence of numerical methods; digital radio; genetic algorithms; land mobile radio; radio receivers; surface acoustic wave filters; IS-95; adaptive crossover; adaptive phase equalization; convergence; digital receiver phase equalization; genetic algorithms; minimum phase SAW filters; multi-section all-pass IIR adaptive filter; mutation probabilities; mutation rate; performance; population size; Adaptive equalizers; Adaptive filters; Band pass filters; Bandwidth; Finite impulse response filter; Genetic algorithms; Genetic mutations; IIR filters; SAW filters; Surface acoustic waves;
Conference_Titel :
Signals, Systems and Computers, 2000. Conference Record of the Thirty-Fourth Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-7803-6514-3
DOI :
10.1109/ACSSC.2000.911269
