DocumentCode :
3178827
Title :
Soft-Output MIMO MMSE V-BLAST Detector under Imperfect Channel Estimation
Author :
Wang, Jun ; Wen, Oliver Yu ; Li, Shaoqian
Author_Institution :
Nat. Key Lab. of Commun., Univ. of Electron. Sci. & Technol. of China, Chengdu
fYear :
2008
fDate :
21-24 Sept. 2008
Firstpage :
1
Lastpage :
5
Abstract :
In practical wireless multiple-input multiple-output (MIMO) communications system, the channel estimation must be imperfect. Unfortunately, the channel estimation errors have not been taken into account by existing soft-output MIMO minimum mean square error (MMSE) vertical Bell lab space time (V- BLAST) detectors when calculating the log-likelihood ratio of each coded bit, i.e., the soft information. As a result, the system performance can be significantly degraded. In this paper, we propose a novel soft-output MIMO MMSE V-BLAST detector based on random vector theorem, which takes the channel estimation error into account in the computation of the MMSE filter and LLR of each coded bit. Furthermore, a simplified implementation of the proposed detector is given so that the variance of channel fading coefficient is not needed. When compared with existing MIMO MMSE V-BLAST detectors, our simulation results show that the proposed novel detector can obtain significant performance gain at the cost of negligible increase of complexity.
Keywords :
MIMO communication; channel estimation; fading channels; least mean squares methods; signal detection; MIMO communications; MMSE filter; V-BLAST detector; channel estimation errors; channel fading coefficient; imperfect channel estimation; log-likelihood ratio; minimum mean square error; multiple-input multiple-output communications; random vector theorem; soft-output; vertical Bell lab space time; Channel estimation; Communication systems; Computational modeling; Degradation; Detectors; Fading; Filters; MIMO; Mean square error methods; System performance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicular Technology Conference, 2008. VTC 2008-Fall. IEEE 68th
Conference_Location :
Calgary, BC
ISSN :
1090-3038
Print_ISBN :
978-1-4244-1721-6
Electronic_ISBN :
1090-3038
Type :
conf
DOI :
10.1109/VETECF.2008.126
Filename :
4656958
Link To Document :
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