DocumentCode :
797579
Title :
Blind adaptive multiuser detection
Author :
Honig, Michael ; Madhow, Upamanyu ; Verdu, Sergio
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Northwestern Univ., Evanston, IL, USA
Volume :
41
Issue :
4
fYear :
1995
fDate :
7/1/1995 12:00:00 AM
Firstpage :
944
Lastpage :
960
Abstract :
The decorrelating detector and the linear minimum mean-square error (MMSE) detector are known to be effective strategies to counter the presence of multiuser interference in code-division multiple-access channels; in particular, those multiuser detectors provide optimum near-far resistance. When training data sequences are available, the MMSE multiuser detector can be implemented adaptively without knowledge of signature waveforms or received amplitudes. This paper introduces an adaptive multiuser detector which converges (for any initialization) to the MMSE detector without requiring training sequences. This blind multiuser detector requires no more knowledge than does the conventional single-user receiver: the desired user´s signature waveform and its timing. The proposed blind multiuser detector is made robust with respect to imprecise knowledge of the received signature waveform of the user of interest
Keywords :
adaptive signal detection; code division multiple access; interference suppression; telecommunication channels; MMSE multiuser detector; adaptive multiuser detector; blind adaptive multiuser detection; blind multiuser detector; code-division multiple-access channels; decorrelating detector; interference suppression; linear minimum mean-square error; multiuser interference; optimum near-far resistance; received amplitudes; received signature waveform; signature waveform; training data sequences; Decorrelation; Demodulation; Detectors; Gaussian channels; Interference; Multiaccess communication; Multiuser detection; Power control; Power system reliability; Timing;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/18.391241
Filename :
391241
Link To Document :
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