Bayesian based linear and non-linear detectors for CDMA communications
Document Type
Conference Proceeding
Publication Date
1-1-1999
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.
Identifier
85039967170 (Scopus)
ISBN
[0769501400, 9780769501406]
Publication Title
Proceedings of the IEEE Signal Processing Workshop on Higher Order Statistics Spw Hos 1999
External Full Text Location
https://doi.org/10.1109/HOST.1999.778710
First Page
135
Last Page
139
Fund Ref
Nanjing Institute of Technology
Recommended Citation
Ge, Hongya and Wang, Kun, "Bayesian based linear and non-linear detectors for CDMA communications" (1999). Faculty Publications. 16045.
https://digitalcommons.njit.edu/fac_pubs/16045
