NDLI: Novel QRM-MLD algorithm for V-BLAST systems with permuted channel matrix

Content Provider	IEEE Xplore Digital Library
Author	Kai Wu Ling Sang Cong Xiong Xin Zhang Dacheng Yang
Copyright Year	2009
Description	Author affiliation: Wireless Theories and Technologies Lab (WT&T), Beijing University of Posts and Telecommunications (BUPT), Beijing, China (Kai Wu; Ling Sang; Cong Xiong; Xin Zhang; Dacheng Yang)
Abstract	The maximum likelihood detection with QR decomposition and M-algorithm (QRM-MLD) has been proposed as a near-optimal multiple-input multiple-output (MIMO) detection scheme which can achieve near maximum likelihood (ML) performance with complexity greatly reduced. However, the performance of the QRM-MLD algorithm will deteriorate with the increasing of the number of transmit antennas, as well as the decreasing of the number of the selected nodes in each stage due to the abandoning of some hypotheses in each step of the tree search. To solve this problem, we modify the QR decomposition method through rearranging the channel columns based on the post-detection signal-to-noise ratio (SNR), which makes the process of the abandoning more reliable. Simulation results show that the new proposed algorithms achieve better performance compared with the conventional QRM-MLD algorithm, especially when the number of transmit antennas is large. Additionally, the increase of the complexity is negligible compared with that of the conventional QRM-MLD algorithm.
Starting Page	2484
Ending Page	2488
File Size	414966
Page Count	5
File Format	PDF
ISBN	9781424451227
e-ISBN	9781424451234
DOI	10.1109/PIMRC.2009.5449768
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-13
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Transmitting antennas Receiving antennas Maximum likelihood detection Maximum likelihood decoding MIMO Power system reliability Detection algorithms Computational complexity Performance loss Matrix decomposition Permuted Channel Matrix MIMO Detection QRM-MLD Tree Search
Content Type	Text
Resource Type	Article

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