DocumentCode :
668714
Title :
A suboptimal detection scheme of single-user SA-MIMO system
Author :
Jianxin Dai ; Jie Qi ; Zhenjie Ni ; Shuai Liu ; Tao Yuan ; Hui Feng
Author_Institution :
Sch. of Sci., Nanjing Univ. of Posts & Telecommun., Nanjing, China
fYear :
2013
fDate :
20-22 Nov. 2013
Firstpage :
61
Lastpage :
64
Abstract :
The paper studies the signal detection problem of the smart antennas-MIMO (SA-MIMO) system, which combines MIMO and smart antennas by replacing each antenna of MIMO with a smart antenna array under single-user scenario. First, the system model and related detection algorithms are briefly introduced. Then the paper presents a suboptimal detection theme. The detection theme contains two steps, one is determination of beam-forming vectors by maximum diagonal element (MDE) rule that can reduce the channel correlation among the MIMO channel links, and the other combines ordering successive interference cancellation (OSIC) based the posteriori signal-to-interference-plus-noise ratio (SINR) with the minimum mean square error (MMSE) for achieving further gain. Some numerical results show that the proposed method is viable.
Keywords :
MIMO systems; adaptive antenna arrays; array signal processing; correlation methods; interference suppression; mean square error methods; signal detection; MDE; MIMO channel links; MMSE; OSIC; SINR; beamforming vectors; channel correlation; maximum diagonal element rule; minimum mean square error; ordering successive interference cancellation; signal detection; signal-to-interference-plus-noise ratio; single-user SA-MIMO system; smart antennas-multiple input multiple output system; suboptimal detection scheme; Antenna arrays; Arrays; Detectors; Educational institutions; MIMO; Receiving antennas; Vectors; Beam-Forming; MIMO; Smart Antennas; detection algorithm; maximum diagonal element;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Electronics, Communications and Networks (CECNet), 2013 3rd International Conference on
Conference_Location :
Xianning
Print_ISBN :
978-1-4799-2859-0
Type :
conf
DOI :
10.1109/CECNet.2013.6703272
Filename :
6703272
Link To Document :
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