DocumentCode :
2366104
Title :
Application of a blind channel estimator for source separation in MIMO systems
Author :
Moazzami, Farzad ; Cole-Rhodes, Arlene
Author_Institution :
Dept. of Electr. & Comput. Eng., Morgan State Univ., Baltimore, MD, USA
fYear :
2010
fDate :
17-19 March 2010
Firstpage :
1
Lastpage :
6
Abstract :
The performance of a blind channel estimator is evaluated in this work. This channel estimator approximates the channel impulse responses in Multiple-Input Multiple-Output (MIMO) communication links without any prior knowledge of either the transmitting channel or the transmitted signals. It uses the autocorrelation of signals at the receiver end.In this paper as a major application of this channel estimation scheme, it is applied to achieve blind source separation (BSS) in a multiple antenna wireless communication system. The performance of the blind channel estimation scheme is compared using an improved version of the CMA equalizer for QAM signals [5] with the training-based Minimum Mean Squared Error (MMSE) and Maximum Likelihood (ML) channel estimators. The frequency and impulse response of the estimated channels are compared to those of the actual channels, and the channel estimation errors are plotted over a range of Signal to Noise Ratio (SNR) for each of the three channel estimators.
Keywords :
MIMO communication; blind source separation; channel estimation; frequency response; maximum likelihood estimation; mean square error methods; radio receivers; transient response; CMA equalizer; MIMO systems; QAM signals; blind channel estimator; blind source separation; channel impulse response; frequency response; maximum likelihood channel estimator; multiple antenna wireless communication system; multiple-input multiple-output communication links; receiver; signals autocorrelation; training-based minimum mean squared error channel estimator; Autocorrelation; Blind source separation; Channel estimation; Frequency estimation; MIMO; Maximum likelihood estimation; Receiving antennas; Signal to noise ratio; Source separation; Wireless communication; Blind MIMO equalization; Channel estimation; blind source separation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Sciences and Systems (CISS), 2010 44th Annual Conference on
Conference_Location :
Princeton, NJ
Print_ISBN :
978-1-4244-7416-5
Electronic_ISBN :
978-1-4244-7417-2
Type :
conf
DOI :
10.1109/CISS.2010.5464896
Filename :
5464896
Link To Document :
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