Title :
Optimum delay and mean square error using a mixed crosscorrelation and constant modulus algorithm
Author :
Brooks, J. ; Lambotharan, S. ; Chambers, J.A.
Author_Institution :
Dept. of Electr. & Electron. Eng., Imperial Coll. of Sci., Technol. & Med., London, UK
fDate :
2/1/2000 12:00:00 AM
Abstract :
The performance of the constant modulus algorithm can suffer because of the existence of local minima with large mean squared error (MSE). The paper presents a new method to obtain the optimum MSE over all delays using a second equaliser with a mixed constant modulus and cross-correlation algorithm (CM-CCA). Proof of convergence is obtained for the noiseless case for a general symbol constellation. Simulations support the potential of the method even in noisy environments
Keywords :
AWGN channels; convergence of numerical methods; correlation methods; delays; equalisers; mean square error methods; CM-CCA; MSE; convergence; equaliser; mean square error; mixed crosscorrelation constant modulus algorithm; noiseless case; noisy environments; optimum delay; symbol constellation;
Journal_Title :
Communications, IEE Proceedings-
DOI :
10.1049/ip-com:20000231
