A matching-pursuit/GSIC-based algorithm for DS-CDMA sparse-channel estimation

Author

Kim, Sunwoo ; Iltis, Ronald A.

Author_Institution

Dept. of Electr. & Comput. Eng., Univ. of California, Santa Barbara, CA, USA

Volume

11

Issue

1

fYear

2004

Firstpage

12

Lastpage

15

Abstract

A sparse-channel estimation algorithm for multiuser environments is developed with application to time-of-arrival (TOA)-based radiolocation. To eliminate multiple-access interference (MAI), the generalized successive interference cancellation (GSIC) algorithm is used. At each GSIC stage, the matching-pursuit (MP) or least squares (LS) methods are used to estimate the sparse channel. The GSIC/MP and GSIC/LS are compared via simulations, and the GSIC/MP performs better than the GSIC/LS.

Keywords

3G mobile communication; 4G mobile communication; channel estimation; code division multiple access; interference suppression; least squares approximations; mobile radio; multiuser channels; radio direction-finding; radiofrequency interference; spread spectrum communication; 3G wireless communication; 4G wireless communication; DS-CDMA; MAI elimination; TOA-based radiolocation; generalized SIC; generalized successive interference cancellation; least squares method; matching-pursuit method; multiple-access interference elimination; multiuser channels; sparse-channel estimation; time-of-arrival; Channel estimation; Clustering algorithms; Delay estimation; Interference cancellation; Interference elimination; Least squares approximation; Multiaccess communication; Multiple access interference; Protocols; Wireless communication;

fLanguage

English

Journal_Title

Signal Processing Letters, IEEE

Publisher

ieee

ISSN

1070-9908

Type

jour

DOI

10.1109/LSP.2003.819349

Filename

1255912