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

被引：35

作者：

Kim, S ^{[1
]}

Iltis, RA ^{[1
]}

机构：

[1] Univ Calif Santa Barbara, Dept Elect & Comp Engn, Santa Barbara, CA 93106 USA

来源：

IEEE SIGNAL PROCESSING LETTERS | 2004年 / 11卷 / 01期

关键词：

code division multiaccess; delay estimation; estimation;

D O I：

10.1109/LSP.2003.819349

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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 cancelation (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.

引用

页码：12 / 15

页数：4

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