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
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
Print_ISBN :
0-7803-8484-9
DOI :
10.1109/ICASSP.2004.1326392