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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Veröffentlicht in:IEEE transactions on wireless communications Jg. 3; H. 6; S. 2232 - 2245
Hauptverfasser: Shahbazpanahi, S., Gershman, A.B.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Piscataway, NJ IEEE 01.11.2004
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
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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Zusammenfassung: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.
Bibliographie:ObjectType-Article-2
SourceType-Scholarly Journals-1
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ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2004.837641