Detecting the number of signals in wireless DS-CDMA networks

Author

Valaee, Shahrokh ; ShahbazPanahi, Shahram

Author_Institution

Dept. of Electr. & Comput. Eng., Univ. of Toronto, Toronto, ON

Volume

56

Issue

7

fYear

2008

fDate

7/1/2008 12:00:00 AM

Firstpage

1189

Lastpage

1197

Abstract

In this paper, a new information theoretic algorithm is proposed for signal enumeration in DS-CDMA networks. The approach is based on the predictive description length (PDL) of the observation vector. The PDL is the length of a predictive code of observations. For signal detection, the PDL criterion is computed for the candidate models and is minimized to determine the number of signals. The proposed technique uses the maximum likelihood (ML) estimate of the correlation matrix. The only information used in the ML estimation of the correlation matrix is the multiplicity of the smallest eigenvalue. The PDL algorithm has a signal-to-noise ratio resolution threshold that is smaller than that of the minimum description length (MDL). The proposed method can be used on-line and can be applied to time-varying and non-stationary systems.

Keywords

code division multiple access; correlation methods; eigenvalues and eigenfunctions; matrix algebra; maximum likelihood estimation; radio networks; signal detection; signal resolution; correlation matrix; information theoretic algorithm; maximum likelihood estimation; minimum description length; nonstationary system; observation vector; predictive description length; signal detection; signal-to-noise ratio resolution threshold; time-varying system; wireless DS-CDMA network; Detectors; Interference; Land mobile radio cellular systems; Maximum likelihood estimation; Multiaccess communication; Multiuser detection; Page description languages; Signal detection; Signal processing; Wireless LAN;

fLanguage

English

Journal_Title

Communications, IEEE Transactions on

Publisher

ieee

ISSN

0090-6778

Type

jour

DOI

10.1109/TCOMM.2008.030521

Filename

4568460