Title :
Blind equalization using CMA: performance analysis and a new algorithm
Author :
Zeng, Shiyu ; Zeng, Hanks H. ; Tong, Lang
Author_Institution :
Dept. of Electr. & Syst. Eng., Connecticut Univ., Storrs, CT, USA
Abstract :
The performance of the fractionally-spaced CMA (FSCMA) is investigated. The mean square error (MSE) of the FSCMA equalizer is compared with that of the optimal minimum mean square error (MMSE) equalizer. It has been demonstrated that FSCMA may converge to an undesirable minimum which has an MSE considerably larger than the MMSE. To avoid this drawback, a new algorithm is proposed. The new algorithm, referred to as the constant modulus-correlation fitting (CM-CF) algorithm, simultaneously exploits the constant modulus property of the source and the cyclostationary properties of the fractionally sampled signal. In simulations, the CM-CF offers substantial improvement over the least-squares CMA
Keywords :
correlation methods; equalisers; signal sampling; CM-CF; FSCMA; FSCMA equalizer; MMSE equalizer; MSE; blind equalization; constant modulus correlation fitting algorithm; constant modulus property; cyclostationary properties; fractionally sampled signal; fractionally-spaced CMA; mean square error; minimum mean square error equalizer; performance analysis; simulations; wireless communication; Blind equalizers; Channel estimation; Contracts; Finite impulse response filter; Higher order statistics; Performance analysis; Power capacitors; Statistical analysis; Systems engineering and theory; Testing;
Conference_Titel :
Communications, 1996. ICC '96, Conference Record, Converging Technologies for Tomorrow's Applications. 1996 IEEE International Conference on
Conference_Location :
Dallas, TX
Print_ISBN :
0-7803-3250-4
DOI :
10.1109/ICC.1996.541300
