Title :
A theoretical analysis of belief propagation based detection in MIMO systems
Author :
Yang, Shunkun ; Long, Feichi
Author_Institution :
Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
Belief propagation (BP) based multiple-input multiple-output (MIMO) detection algorithm can achieve near optimal performance, but the technical analysis remains unsolved. In this paper, we give theoretical analysis about the relationship between BP detection and joint maximum likelihood (JML) detection via an optimization framework of Bethe approximation to free energy and constrained JML detection. The proposed approach can explain why BP can achieve high performance in some extent and simulation result verifies the conclusion.
Keywords :
MIMO communication; belief networks; maximum likelihood detection; Bethe approximation; MIMO systems; belief propagation based detection; joint maximum likelihood detection; optimization framework; Approximation methods; Belief propagation; Detection algorithms; Lagrangian functions; MIMO; Maximum likelihood decoding; Signal processing algorithms;
Conference_Titel :
Computational Problem-Solving (ICCP), 2011 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4577-0602-8
Electronic_ISBN :
978-1-4577-0601-1
DOI :
10.1109/ICCPS.2011.6089778
