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
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;
Conference_Titel :
Communication Technology and Application (ICCTA 2011), IET International Conference on
Conference_Location :
Beijing
DOI :
10.1049/cp.2011.0620