Bayesian based linear and non-linear detectors for CDMA communications

Hongya Ge, Kun Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationProceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics, SPW-HOS 1999
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages135-139
Number of pages5
ISBN (Electronic)0769501400, 9780769501406
DOIs
StatePublished - Jan 1 1999
Event1999 IEEE Signal Processing Workshop on Higher-Order Statistics, SPW-HOS 1999 - Caesarea, Israel
Duration: Jun 14 1999Jun 16 1999

Publication series

NameProceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics, SPW-HOS 1999

Other

Other1999 IEEE Signal Processing Workshop on Higher-Order Statistics, SPW-HOS 1999
CountryIsrael
CityCaesarea
Period6/14/996/16/99

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Statistics and Probability

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