NDLI: Adaptive iterative decision multi-feedback detection for multi-user MIMO systems

Content Provider	IEEE Xplore Digital Library
Author	Peng Li Jingjing Liu de Lamare, R.C.
Copyright Year	2012
Description	Author affiliation: Communications Research Group, Department of Electronics, University of York, UK (Peng Li; Jingjing Liu; de Lamare, R.C.)
Abstract	An adaptive iterative decision multi-feedback detection algorithm with constellation constraints is proposed for multiuser multi-cantenna systems. An enhanced detection and interference cancellation is performed by introducing multiple constellation points as decision candidates. A complexity reduction strategy is developed to avoid redundant processing with reliable decisions along with an adaptive recursive least squares algorithm for time-varying channels. An iterative detection and decoding scheme is also considered with the proposed detection algorithm. Simulations show that the proposed technique has a complexity as low as the conventional decision feedback detector while it obtains a performance close to the maximum likelihood detector.
Starting Page	3037
Ending Page	3040
File Size	196541
Page Count	4
File Format	PDF
ISBN	9781467300452
ISSN	15206149
e-ISBN	9781467300469
e-ISBN	9781467300445
DOI	10.1109/ICASSP.2012.6288555
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-03-25
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vectors Detectors Complexity theory MIMO Iterative decoding Adaptive systems Reliability iterative processing MIMO systems decision feedback receivers RLS algorithms multi-user detection
Content Type	Text
Resource Type	Article

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