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.
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页码：12 / 15
页数：4
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