DocumentCode
3487792
Title
A Simplified ML Approach in Suppression of Directional Interference for STBC MIMO System
Author
Zhang, Zhonghao ; Gong, Yu ; Gong, Yuehuan ; Ye, Yalan ; Jin, Chen
Author_Institution
Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu
fYear
2007
fDate
21-25 Sept. 2007
Firstpage
346
Lastpage
349
Abstract
When the orthogonal space-time block code (STBC), or the Alamouti code, is applied in multiple-input multiple-output (MIMO) communication systems, with a simple signal decoupling at the receiver, the optimum reception can be achieved. However, in the military application fields the performance deteriorates significantly in presence of directional interferences from certain directions. While few methods for suppressing the directional interferences exist, in this paper, a reception scheme based on a linear separation processing is proposed to suppress the directional interferences. It´s capable of reaching the maximum likelihood (ML) boundary, as long as the interference is Gaussian distributed. Moreover, the absence of direct computation of inverse matrix decreases the complexity of processing at the receiver. Finally, simulations are given to verify these conclusions.
Keywords
Gaussian distribution; MIMO communication; block codes; computational complexity; interference suppression; matrix algebra; maximum likelihood estimation; orthogonal codes; space-time codes; Alamouti code; Gaussian distribution; STBC MIMO System; computational complexity; directional interference suppression; inverse matrix; linear separation processing; maximum likelihood boundary; multiple-input multiple-output communication systems; optimum reception; orthogonal space-time block code; signal decoupling; Array signal processing; Block codes; Computational modeling; Gaussian noise; Interference suppression; MIMO; Maximum likelihood detection; Receiving antennas; Space technology; Transmitting antennas;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-1311-9
Type
conf
DOI
10.1109/WICOM.2007.93
Filename
4339868
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