DocumentCode :
1926533
Title :
Adaptive blind equalization criteria and algorithms for QAM data communication systems
Author :
Lou, Yuang
Author_Institution :
Dept. of Electr. & Comput. Eng., Northeastern Univ., Boston, MA, USA
fYear :
1990
fDate :
21-23 Mar 1990
Firstpage :
222
Lastpage :
229
Abstract :
A new error criterion for blind equalization is proposed, and it is shown that, after the startup period, the new error criterion converges to the conventional decision-directed MSE criterion, such that the transition between the two modes is smooth. It is proved that the error criterion improves the ill-conditioning probability. It is also shown that the convergence of the new criterion is independent of the initial equalizer tap settings. Its implementation complexity is similar to that of the conventional MSE equalizer algorithm. Comparisons are made with other blind equalization criteria and algorithms. Computer simulations of 16-point QAM support the theoretical analysis of the criterion convergence. A better performance is shown in the eye-pattern reopening test and the average error probability measurement
Keywords :
amplitude modulation; data communication systems; equalisers; 16-point QAM; QAM data communication systems; adaptive blind equalization criteria; average error probability measurement; criterion convergence; decision-directed MSE criterion; error criterion; eye-pattern reopening test; ill-conditioning probability; Adaptive equalizers; Blind equalizers; Computer errors; Convergence; Data communication; Decision feedback equalizers; Digital communication; Fading; Intersymbol interference; Quadrature amplitude modulation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computers and Communications, 1990. Conference Proceedings., Ninth Annual International Phoenix Conference on
Conference_Location :
Scottsdale, AZ
Print_ISBN :
0-8186-2030-7
Type :
conf
DOI :
10.1109/PCCC.1990.101623
Filename :
101623
Link To Document :
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