DocumentCode :
863088
Title :
A Novel Signaling Scheme for Blind Unique Identification of Alamouti Space-Time Block-Coded Channel
Author :
Zhou, Lin ; Zhang, Jian-Kang ; Wong, Kon Max
Author_Institution :
Dept. of Electr. & Comput. Eng., McMaster Univ., Hamilton, Ont.
Volume :
55
Issue :
6
fYear :
2007
fDate :
6/1/2007 12:00:00 AM
Firstpage :
2570
Lastpage :
2582
Abstract :
In this paper, we present a simple signaling scheme to blindly and uniquely identify the Alamouti space-time block-coded channel, first under a noise-free environment, and then, under a complex Gaussian noise environment in which pth- and qth-order statistics (p and q are coprime) of the received signals are available. In both cases, closed-form solutions to determine the channel coefficients are obtained by exploiting specific properties of the Alamouti space-time block code (STBC) and the linear Diophantine equation theory. Under Gaussian noise, when the length of the received data is finite, we propose to use the semidefinite relaxation (SDR) algorithm to approximate maximum-likelihood (ML) detection so that the joint estimation of the channel and symbols can be efficiently implemented. Simulation results show that while other existing blind methods fail, our signaling scheme works well
Keywords :
Gaussian noise; block codes; channel coding; maximum likelihood detection; relaxation theory; space-time codes; telecommunication signalling; Alamouti space-time block-coded channel; STBC; blind unique identification; channel coefficients; complex Gaussian noise environment; linear Diophantine equation theory; maximum-likelihood detection; noise-free environment; semidefinite relaxation algorithm; signaling scheme; Block codes; Closed-form solution; Equations; Gaussian noise; Maximum likelihood detection; Maximum likelihood estimation; Receiving antennas; Signal processing; Signal processing algorithms; Statistics; Alamouti space-time block code (STBC); blind unique identification; coprime; linear Diophantine equation;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/TSP.2006.890903
Filename :
4203093
Link To Document :
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