DocumentCode :
2975302
Title :
Bayesian based linear and non-linear detectors for CDMA communications
Author :
Ge, Hongya ; Wang, Kun
Author_Institution :
Dept. of Electr. & Comput. Eng., New Jersey Inst. of Technol., Newark, NJ, USA
fYear :
1999
fDate :
1999
Firstpage :
135
Lastpage :
139
Abstract :
This work provides various simplified Bayesian-based multiuser detectors, including both linear and non-linear detectors, for CDMA communications systems. Due to the non-Gaussian nature of the problem, the Bayesian solutions are generally non-linear. Under the linear constraint, the Bayesian solution leads to the linear MMSE (LMMSE) estimator based multiuser detectors. Within the non-linear class, we present a simplified Bayesian solution, which leads to either multi-stage interference cancellation based or iterative optimization based multiuser detectors
Keywords :
Bayes methods; code division multiple access; interference suppression; iterative methods; least mean squares methods; optimisation; signal detection; Bayesian based linear detectors; Bayesian based non-linear detectors; Bayesian-based multiuser detectors; CDMA communications; iterative optimization; linear MMSE estimator; linear constraint; multi-stage interference cancellation; Bayesian methods; Detectors; Multiaccess communication;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Higher-Order Statistics, 1999. Proceedings of the IEEE Signal Processing Workshop on
Conference_Location :
Caesarea
Print_ISBN :
0-7695-0140-0
Type :
conf
DOI :
10.1109/HOST.1999.778710
Filename :
778710
Link To Document :
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