Robust blind multiuser detection for synchronous CDMA systems using worst-case performance optimization

The performance of blind multiuser detection methods is known to degrade severely in the presence of even small mismatches between the actual and the presumed desired user signatures. Such mismatches may occur in practical situations due to an imperfect knowledge of the channel impulse response. We...

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Vydáno v:	IEEE transactions on wireless communications Ročník 3; číslo 6; s. 2232 - 2245
Hlavní autoři:	Shahbazpanahi, S., Gershman, A.B.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Piscataway, NJ IEEE 01.11.2004 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Algorithms Applied sciences Blind linear receivers Blinds Channels Code division multiplexing Computational complexity Covariance matrix Degradation Detection, estimation, filtering, equalization, prediction Detectors Exact sciences and technology Impulse response Information, signal and communications theory Mathematical models Multiaccess communication Multiple access interference Multiuser detection Optimization Robustness Signal and communications theory Signal, noise Signatures synchronous code-division multiple-access (CDMA) Telecommunications and information theory Multiuser detection Simulation Synchronous transmission Wireless telecommunication Code division multiple access Receiver Performance analysis Blind identification Optimization
ISSN:	1536-1276, 1558-2248
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Popis
Shrnutí:	The performance of blind multiuser detection methods is known to degrade severely in the presence of even small mismatches between the actual and the presumed desired user signatures. Such mismatches may occur in practical situations due to an imperfect knowledge of the channel impulse response. We propose a new robust approach to blind multiuser detection in the presence of unknown arbitrary-type mismatches of the desired user signature. Two different formulations of a robust multiuser receiver are considered. The proposed formulations are based on the explicit modeling of uncertainties in the covariance matrix of the desired user signature and/or data covariance matrix and optimization of the worst-case performance. Simple closed-form solutions to the considered robust multiuser detection problems are derived. The proposed methods have a computational complexity comparable to that of the traditional blind multiuser detection algorithms, and, at the same time, offer an improved robustness and faster convergence rates.
Bibliografie:	ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 content type line 23
ISSN:	1536-1276 1558-2248
DOI:	10.1109/TWC.2004.837641