Title :
Performance improvement of blind equalizers using the constant modulus algorithm
Author :
Hull, Andrew W. ; Jenkins, W. Kenneth
Author_Institution :
Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL, USA
Abstract :
A technique for orthogonalizing the update relation for steepest descent algorithms using pseudorandom (PR) modulation has been developed. It is shown that the application of PR modulation to the constant modulus algorithm (CMA) improves the rate of convergence and reduces the steady state misadjustment. Computer simulation results are presented to illustrate the performance improvement of blind equalization using the CMA with PR modulation
Keywords :
adaptive filters; equalisers; filtering and prediction theory; signal processing; CMA; adaptive filters; blind equalization; constant modulus algorithm; convergence rate; pseudorandom modulation; steady state misadjustment; steepest descent algorithms; update relation orthogonalisation; Adaptive filters; Application software; Autocorrelation; Blind equalizers; Convergence; Eigenvalues and eigenfunctions; Filtering algorithms; Finite impulse response filter; Least squares approximation; Steady-state;
Conference_Titel :
Signals, Systems and Computers, 1992. 1992 Conference Record of The Twenty-Sixth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
0-8186-3160-0
DOI :
10.1109/ACSSC.1992.269267