DocumentCode
1972141
Title
On intelligent V-BLAST detection algorithm with D-S theory in correlated MIMO channel
Author
Yonghua Li ; Tiejun Lv ; Xiaoguang Zhang ; Ling Qin ; Yunjie Li
Author_Institution
Key Lab. of Universal Wireless Commun., Beijing Univ. of Posts & Telecommun., Beijing, China
fYear
2011
fDate
14-16 Oct. 2011
Firstpage
10
Lastpage
14
Abstract
In this paper, a novel signal detection scheme is proposed for correlated multiple input multiple output(MIMO) system based on Dempster-Shafer (D-S) evidence theory. The geometrical MIMO model is used for the correlated MIMO system. The focal-element-set (FES) is used to describe the uncertainty for the decision statistics, and the corresponding basic-probability-assignment (BPA) of FES is the likelihood measure, which act as the soft-decisions for the receiver signals. The detection is called intelligent deductions, in which the uncertainty can be mitigated during combining the soft information sources from all received spatial signals, leading to the performance improvement for MIMO system. Simulation results verify that the proposed MIMO detection algorithm outperforms conventional MIMO detection schemes in both independent and correlated MIMO channel.
Keywords
MIMO communication; inference mechanisms; probability; signal detection; uncertainty handling; wireless channels; BPA; D-S evidence theory; Dempster-Shafer evidence theory; FES; basic-probability-assignment; correlated MIMO channel; correlated multiple input multiple output channel; focal-element-set; geometrical MIMO model; intelligent v-blast detection algorithm; received spatial signal; soft information source; Dempster-Shafer theory; Fading channels; Intelligent Detection; Multiple antennas;
fLanguage
English
Publisher
iet
Conference_Titel
Communication Technology and Application (ICCTA 2011), IET International Conference on
Conference_Location
Beijing
Type
conf
DOI
10.1049/cp.2011.0620
Filename
6192816
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