Online Bayesian activity detection in DS/CDMA networks

Author

Bui, Thanh Ngoc ; Krishnamurthy, Vikram ; Poor, H. Vincent

Author_Institution

Dept. of Electr. & Electron. Eng., Univ. of Melbourne, Vic., Australia

Volume

53

Issue

1

fYear

2005

Firstpage

371

Lastpage

375

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.

Keywords

Bayes methods; code division multiple access; matrix algebra; multiuser detection; probability; spread spectrum communication; DS-CDMA network; a priori knowledge; multiple hypotheses Shiryayev sequential probability ratio test; multiuser code division multiple access; nonBayesian matrix cumulative sum; online Bayesian activity detection; Bayesian methods; Change detection algorithms; Detection algorithms; Intelligent networks; Interference; Multiaccess communication; Multiuser detection; Probability; Sequential analysis; Signal processing algorithms;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/TSP.2004.838944

Filename

1369678