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

Yinman Lee*, Wen-Rong Wu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageAmerican English
Title of host publication2007 IEEE Wireless Communications and Networking Conference, WCNC 2007
PublisherIEEE
Pages1291-1295
Number of pages5
ISBN (Print)1424406595, 9781424406593
DOIs
StatePublished - 27 Nov 2007
Event2007 IEEE Wireless Communications and Networking Conference, WCNC 2007 - Kowloon, China
Duration: 11 Mar 200715 Mar 2007

Publication series

NameIEEE Wireless Communications and Networking Conference, WCNC
ISSN (Print)1525-3511

Conference

Conference2007 IEEE Wireless Communications and Networking Conference, WCNC 2007
CountryChina
CityKowloon
Period11/03/0715/03/07

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