DocumentCode :
2170871
Title :
A Novel MAP Estimation Algorithm for Multiple Frequency Offsets in Distributed MIMO System
Author :
Wang, Qiang ; Lei, Xia ; Du, Jian ; Tian, Yuan ; Xiao, Yue ; Li, Shao-Qian
Author_Institution :
Nat. Commun. Anti-interference Technol. Key Lab., UESTC, Chengdu, China
fYear :
2009
fDate :
24-26 Sept. 2009
Firstpage :
1
Lastpage :
4
Abstract :
This paper addresses maximum a posteriori (MAP) estimation algorithm for multiple frequency offsets in distributed multiple inputs and multiple outputs (MIMO) system in the presence of prior information about frequency offsets. In this paper, the prior information is considered and the Cramer-Rao bound (CRB) for the problem at hand is derived. Additionally, taking advantage of prior information, the algorithm of maximum a posteriori is investigated. First, the variance of prior information can be estimated according to the range of frequency offsets. Then the MAP estimation will be used to estimate the frequency offsets. Compared with the maximum-likelihood estimation, simulation results illustrate the performance of MAP estimator achieve the CRB and the proposed algorithm can improve the efficiency of synchronization obviously, especially in low signal to noise ratio (SNR) environment.
Keywords :
MIMO communication; maximum likelihood estimation; Cramer-Rao bound; MAP estimation algorithm; distributed MIMO system; distributed multiple inputs multiple outputs system; low signal-to-noise ratio; maximum a posteriori estimation algorithm; maximum-likelihood estimation; multiple frequency offsets; Communications technology; Electrochemical machining; Frequency estimation; Frequency synchronization; MIMO; Maximum likelihood estimation; Receiving antennas; Signal to noise ratio; Transmitters; Transmitting antennas;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2009. WiCom '09. 5th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-3692-7
Electronic_ISBN :
978-1-4244-3693-4
Type :
conf
DOI :
10.1109/WICOM.2009.5304663
Filename :
5304663
Link To Document :
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