Tree Based Approximate Optimal Signal Detectors for MIMO Spatial Multiplexing Systems

Wenjie JIANG  Yusuke ASAI  Shuji KUBOTA  

Publication
IEICE TRANSACTIONS on Communications   Vol.E92-B   No.2   pp.544-558
Publication Date: 2009/02/01
Online ISSN: 1745-1345
DOI: 10.1587/transcom.E92.B.544
Print ISSN: 0916-8516
Type of Manuscript: PAPER
Category: Wireless Communication Technologies
Keyword: 
complexity reduction,  maximum likelihood detection,  MIMO system,  spatial multiplexing,  

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Summary: 
In multiple antenna systems that use spatial multiplexing to raise transmission rates, it is preferable to use maximum likelihood (ML) detection to exploit the full receive diversity and minimize the error probability. In this paper, we present two tree based approximate ML detectors that use new two ordering criteria in conjunction with efficient search strategies. Unlike conventional tree detectors, the new detectors closely approximate the error performance of the exact ML detector while achieving a dramatic reduction in complexity. Moreover, they ensure a fixed detection delay and high level of parallelization in the tree search.