DocumentCode
2958903
Title
Constrained detection for noncoherent nonlinear multiuser communications
Author
Sinha, Rajnish ; Yener, Aylin ; Yates, Roy D.
Author_Institution
Wireless Inf. Network Lab., Rutgers Univ., Piscataway, NJ, USA
Volume
2
fYear
2000
fDate
Oct. 29 2000-Nov. 1 2000
Firstpage
1158
Abstract
We consider noncoherent multiuser detection techniques for a system with users employing nonlinear modulation using non-orthogonal signals. Our aim is to investigate near-optimum noncoherent multiuser detection techniques that utilize the structure of the received signals while retaining reasonable complexity. We explore detectors that are derived using nonlinear programming approximations of the maximum likelihood multiuser detector as well as soft interference cancellers. We also propose a class of detectors called the partial detectors which improve the performance of the decorrelator and MMSE type detectors. We evaluate the proposed detectors´ performance to provide numerical comparisons.
Keywords
code division multiple access; decorrelation; interference suppression; least mean squares methods; maximum likelihood detection; modulation; multiuser channels; nonlinear programming; radiofrequency interference; signal detection; CDMA; MMSE detectors; complexity; constrained detection; decorrelator performance; maximum likelihood multiuser detector; near-optimum noncoherent multiuser detection; noncoherent nonlinear multiuser communications; nonlinear modulation; nonlinear programming approximations; nonorthogonal signals; partial detectors; performance evaluation; received signal structure; soft interference cancellers; AWGN; Decorrelation; Detectors; Interference cancellation; Interference constraints; Maximum likelihood detection; Maximum likelihood estimation; Multiuser detection; Pulse modulation; Signal processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems and Computers, 2000. Conference Record of the Thirty-Fourth Asilomar Conference on
Conference_Location
Pacific Grove, CA, USA
ISSN
1058-6393
Print_ISBN
0-7803-6514-3
Type
conf
DOI
10.1109/ACSSC.2000.910696
Filename
910696
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