DocumentCode :
3334503
Title :
Soft constraint satisfaction multimodulus blind equalization algorithms
Author :
Abrar, Shafayat ; Zerguine, Azzedine ; Deriche, Mohamed
Author_Institution :
Dept. of Comput. Eng., King Fahd Univ. of Pet. & Miner., Dhahran, Saudi Arabia
Volume :
2
fYear :
2004
fDate :
17-21 May 2004
Abstract :
In this work, a new algorithm, based on the minimum-disturbance principle with relaxation, is presented for the blind equalization of complex signals. This algorithm combines the benefits of the well-known reduced constellation algorithm (RCA) and constant modulus algorithm (CMA). The convergence characteristics of the proposed algorithm are demonstrated by way of simulations. In addition, closed form expressions are obtained for the statistical (dispersion) constants used in these algorithms.
Keywords :
blind equalisers; convergence; intersymbol interference; relaxation; CMA; ISI removal; RCA; channel equalization; constant modulus algorithm; convergence; dispersion constants; equalizer; minimum-disturbance principle; multimodulus blind equalization algorithms; phase error; reduced constellation algorithm; relaxation; soft constraint satisfaction algorithms; statistical constants; Baseband; Blind equalizers; Constraint optimization; Convergence; Data communication; Digital communication; Intersymbol interference; Minerals; Petroleum; Quadrature amplitude modulation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
ISSN :
1520-6149
Print_ISBN :
0-7803-8484-9
Type :
conf
DOI :
10.1109/ICASSP.2004.1326392
Filename :
1326392
Link To Document :
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