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
Link To Document :
بازگشت