Online Bayesian activity detection in DS/CDMA networks

Thanh Ngoc Bui; Vikram Krishnamurthy; H. Vincent Poor

doi:10.1109/TSP.2004.838944

Online Bayesian activity detection in DS/CDMA networks

Thanh Ngoc Bui, Vikram Krishnamurthy, H. Vincent Poor

Research output: Contribution to journal › Article › peer-review

5 Scopus citations

Abstract

An on-line Bayesian based multiple hypotheses Shiryayev Sequential Probability Ratio Test (SSPRT) for the detection/isolation of new active users in a multiuser code division multiple access (CDMA) environment is presented. This SSPRT algorithm makes use of a priori knowledge of the user activity parameter. Comparison by simulation between this SSPRT algorithm and the non-Bayesian Matrix cumulative sum (CUSUM) shows that when Such information is available, the SSPRT algorithm that uses this information can achieve better performance than the non-Bayesian approach.

Original language	English (US)
Pages (from-to)	371-375
Number of pages	5
Journal	IEEE Transactions on Signal Processing
Volume	53
Issue number	1
DOIs	https://doi.org/10.1109/TSP.2004.838944
State	Published - Jan 2005

All Science Journal Classification (ASJC) codes

Signal Processing
Electrical and Electronic Engineering

Keywords

Activity detection
CDMA
Multiuser detection
Sequential probability ratio test

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10.1109/TSP.2004.838944

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abstract = "An on-line Bayesian based multiple hypotheses Shiryayev Sequential Probability Ratio Test (SSPRT) for the detection/isolation of new active users in a multiuser code division multiple access (CDMA) environment is presented. This SSPRT algorithm makes use of a priori knowledge of the user activity parameter. Comparison by simulation between this SSPRT algorithm and the non-Bayesian Matrix cumulative sum (CUSUM) shows that when Such information is available, the SSPRT algorithm that uses this information can achieve better performance than the non-Bayesian approach.",

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author = "Bui, {Thanh Ngoc} and Vikram Krishnamurthy and Poor, {H. Vincent}",

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AB - An on-line Bayesian based multiple hypotheses Shiryayev Sequential Probability Ratio Test (SSPRT) for the detection/isolation of new active users in a multiuser code division multiple access (CDMA) environment is presented. This SSPRT algorithm makes use of a priori knowledge of the user activity parameter. Comparison by simulation between this SSPRT algorithm and the non-Bayesian Matrix cumulative sum (CUSUM) shows that when Such information is available, the SSPRT algorithm that uses this information can achieve better performance than the non-Bayesian approach.

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KW - CDMA

KW - Multiuser detection

KW - Sequential probability ratio test

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Online Bayesian activity detection in DS/CDMA networks

Abstract

All Science Journal Classification (ASJC) codes

Keywords

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