Title :
Optimum delay and mean square error using CMA
Author :
Brooks, D.J. ; Lambotharan, Sangarapillai ; Chambers, J.A.
Author_Institution :
Dept. of Electr. & Electron. Eng., Imperial Coll. of Sci., Technol. & Med., London, UK
Abstract :
The performance of the constant modulus algorithm can suffer because of the existence of local minima with large mean squared error (MSE). This paper presents a new way of obtaining the optimum MSE over all delays using a second equalizer under a mixed constant modulus and cross correlation algorithm (CM-CCA). Proof of convergence is obtained for the noiseless case. Simulations demonstrate the potential of the method
Keywords :
FIR filters; convergence of numerical methods; correlation methods; delays; equalisers; least mean squares methods; CM-CCA; CMA; constant modulus algorithm; convergence; equalizer; local minima; mean square error; mixed constant modulus/cross correlation algorithm; noiseless case; optimum MSE; optimum delay; performance; Blind equalizers; Convergence; Cost function; Delay; Educational institutions; Mean square error methods; Modular construction; Signal processing; Signal processing algorithms; Telephony;
Conference_Titel :
Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-4428-6
DOI :
10.1109/ICASSP.1998.679585
