DocumentCode
781601
Title
Neighborhood Exploring Detector: An EM-Based Signal Detector for Multiple Antenna Systems
Author
Chan, Francis ; Choi, Jinho
Author_Institution
New South Wales Univ., Sydney, NSW
Volume
55
Issue
5
fYear
2007
fDate
5/1/2007 12:00:00 AM
Firstpage
1875
Lastpage
1885
Abstract
We introduce a computationally efficient detector of the space-time uncoded symbols for multiple-antenna systems. In a high-data-rate communication system, reliable real-time detection algorithm with low complexity is highly attractive. However, the space-time signal detection problem is mathematically equivalent to the combinatorial optimization problem, which is known to be NP hard. Essentially, most of the existing algorithms incorporate one or more of the following strategies: 1) sequential detection of signals in a lower dimensional space, 2) a posteriori probability density approximation, or 3) reduction of the signal searching space. The proposed detector explicitly incorporates all of these three strategies. The principal concept of the proposed detector is the exploration of the neighborhood for each transmitted symbol by using a signal decoupling technique and the expectation-maximization (EM) algorithm. The proposed detector provides a good balance between the computational complexity and the performance. Simulation results show that the symbol detection error rate of the proposed detector is close to the maximum-likelihood detector with reasonably low complexity
Keywords
antenna arrays; combinatorial mathematics; data communication; expectation-maximisation algorithm; maximum likelihood detection; optimisation; radiocommunication; EM-based signal detector; NP hard; a posteriori probability density approximation; combinatorial optimization problem; expectation-maximization algorithm; high-data-rate communication system; multiple antenna systems; reliable real-time detection algorithm; signal decoupling technique; signal searching space; signals sequential detection; space-time uncoded symbols; symbol detection error rate; Approximation algorithms; Communication systems; Computational efficiency; Detection algorithms; Detectors; MIMO; Maximum likelihood detection; Maximum likelihood estimation; Signal detection; Signal processing algorithms; Expectation-maximization (EM) algorithm; V-BLAST; maximum likelihood (ML); multiple-input multiple-output (MIMO); neighborhood;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/TSP.2006.889400
Filename
4156363
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