DocumentCode :
697905
Title :
Adaptive Analytical Simplified Constant Modulus Algorithm: A BSS algorithm for MIMO systems with time-varying environments
Author :
Daumont, Steredenn ; Le Guennec, Daniel
Author_Institution :
IPSIS Co., Cesson-Sevigne, France
fYear :
2009
fDate :
24-28 Aug. 2009
Firstpage :
313
Lastpage :
317
Abstract :
An adaptive Analytical Simplified Constant Modulus Algorithm (adaptive-ASCMA) which accomplishes blind source separation and carrier phase recovery is proposed. This algorithm is applied on Multiple Input Multiple Output (MIMO) communication systems and uses some analytical methods to minimize the Simplified Constant Modulus (SCM) cost function. A study was done to find the subspace containing the solution of the minimization problem. With comparable computational complexities, the adaptive ASCMA accomplishes better performances in Bit Error Rate (BER) and Signal to Interference and Noise Ratio (SINR) terms than the adaptive-ACMA with time varying environment.
Keywords :
MIMO communication; blind source separation; error statistics; minimisation; BER; MIMO communication systems; SCM cost function; SINR; adaptive analytical simplified constant modulus algorithm; adaptive-ASCMA; bit error rate; blind source separation; carrier phase recovery; minimization problem; multiple input multiple output communication systems; signal to interference and noise ratio; simplified constant modulus cost function; time-varying environments; Abstracts; Nickel; Silicon compounds;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Conference, 2009 17th European
Conference_Location :
Glasgow
Print_ISBN :
978-161-7388-76-7
Type :
conf
Filename :
7077477
Link To Document :
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