Adaptive minimum variance two-stage parallel interference cancellation for time-varying MIMO channels

Yinman Lee*, Wen-Rong Wu

*此作品的通信作者

研究成果: Conference contribution同行評審

摘要

Adaptive parallel interference cancellation (PIC) has been recently introduced to the signal detection of multiple-input multiple-output (MIMO) systems. However, it suffers from error propagation when operated in time-varying channels. In this paper, an adaptive two-stage PIC with the minimum variance (MV) criterion is proposed to solve the problem. Adaptation with the MV criterion is realized with a decision feedback generalized sidelobe canceller (DFGSC). In the first-stage cancellation, a special structure involving dual DFGSCs is developed. AU adaptation operations are implemented with the least-mean-square (LMS) algorithm. Simulation results show that the proposed two-stage PIC detection can significantly outperform the conventional adaptive PIC detection in fast time-varying channel environments.

原文American English
主出版物標題2007 IEEE Wireless Communications and Networking Conference, WCNC 2007
發行者IEEE
頁面1291-1295
頁數5
ISBN(列印)1424406595, 9781424406593
DOIs
出版狀態Published - 27 11月 2007
事件2007 IEEE Wireless Communications and Networking Conference, WCNC 2007 - Kowloon, China
持續時間: 11 3月 200715 3月 2007

出版系列

名字IEEE Wireless Communications and Networking Conference, WCNC
ISSN(列印)1525-3511

Conference

Conference2007 IEEE Wireless Communications and Networking Conference, WCNC 2007
國家/地區China
城市Kowloon
期間11/03/0715/03/07

指紋

深入研究「Adaptive minimum variance two-stage parallel interference cancellation for time-varying MIMO channels」主題。共同形成了獨特的指紋。

引用此