Bayesian based linear and non-linear detectors for CDMA communications

Hongya Ge; Kun Wang

doi:10.1109/HOST.1999.778710

Bayesian based linear and non-linear detectors for CDMA communications

Hongya Ge, Kun Wang

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English (US)
Title of host publication	Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics, SPW-HOS 1999
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	135-139
Number of pages	5
ISBN (Electronic)	0769501400, 9780769501406
DOIs	https://doi.org/10.1109/HOST.1999.778710
State	Published - 1999
Event	1999 IEEE Signal Processing Workshop on Higher-Order Statistics, SPW-HOS 1999 - Caesarea, Israel Duration: Jun 14 1999 → Jun 16 1999

Publication series

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

Other

Other	1999 IEEE Signal Processing Workshop on Higher-Order Statistics, SPW-HOS 1999
Country/Territory	Israel
City	Caesarea
Period	6/14/99 → 6/16/99

All Science Journal Classification (ASJC) codes

Signal Processing
Statistics and Probability

Access to Document

10.1109/HOST.1999.778710

Cite this

Ge, H., & Wang, K. (1999). Bayesian based linear and non-linear detectors for CDMA communications. In Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics, SPW-HOS 1999 (pp. 135-139). Article 778710 (Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics, SPW-HOS 1999). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/HOST.1999.778710

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title = "Bayesian based linear and non-linear detectors for CDMA communications",

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.",

author = "Hongya Ge and Kun Wang",

note = "Publisher Copyright: {\textcopyright} 1999 IEEE.; 1999 IEEE Signal Processing Workshop on Higher-Order Statistics, SPW-HOS 1999 ; Conference date: 14-06-1999 Through 16-06-1999",

year = "1999",

doi = "10.1109/HOST.1999.778710",

language = "English (US)",

series = "Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics, SPW-HOS 1999",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "135--139",

booktitle = "Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics, SPW-HOS 1999",

address = "United States",

}

Ge, H & Wang, K 1999, Bayesian based linear and non-linear detectors for CDMA communications. in Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics, SPW-HOS 1999., 778710, Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics, SPW-HOS 1999, Institute of Electrical and Electronics Engineers Inc., pp. 135-139, 1999 IEEE Signal Processing Workshop on Higher-Order Statistics, SPW-HOS 1999, Caesarea, Israel, 6/14/99. https://doi.org/10.1109/HOST.1999.778710

Bayesian based linear and non-linear detectors for CDMA communications. / Ge, Hongya; Wang, Kun.
Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics, SPW-HOS 1999. Institute of Electrical and Electronics Engineers Inc., 1999. p. 135-139 778710 (Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics, SPW-HOS 1999).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Wang, Kun

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N2 - 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.

AB - 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.

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

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Ge H, Wang K. Bayesian based linear and non-linear detectors for CDMA communications. In Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics, SPW-HOS 1999. Institute of Electrical and Electronics Engineers Inc. 1999. p. 135-139. 778710. (Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics, SPW-HOS 1999). doi: 10.1109/HOST.1999.778710

Bayesian based linear and non-linear detectors for CDMA communications

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