DocumentCode
2429494
Title
Statistical precoder design for spatial correlated MIMO channels in V-BLAST systems
Author
Li, Yuanliu ; Liu, Haitan ; Jiang, Lihui
Author_Institution
Sch. of Electr. & Inf. Eng., Civil Aviation Univ. of China, Tianjin
fYear
2008
fDate
7-11 June 2008
Firstpage
276
Lastpage
279
Abstract
The degradation in the bit error probability of V-BLAST system is often owing to its low diversity and error propagation in the receiver. But if channel state information is available at the transmitter, we always design precoder to optimize the transceiver, in order to improve the performance obviously. In this paper, we firstly overview the ideal precoder with perfect channel state information (CSI) at the transmitter. Then, given long term statistical channel information feedback and rank deficiency MIMO channel, we shall construct the statistical precoder based on the criterion of minimizing the pair-wise error probability bound. It is concluded that the optimum statistical precoder is selected as the domain eigenvectors of the transmit correlation matrix. Finally, from the simulation results, it is observed that statistical precoder could achieve significant precoding gain at the entire SNR region, and its bit error rate (BER) performance is even close to the ideal precoder in higher correlation channels.
Keywords
MIMO communication; channel coding; correlation methods; diversity reception; eigenvalues and eigenfunctions; error statistics; matrix algebra; multiplexing; precoding; V-BLAST systems; bit error probability; channel state information; domain eigenvectors; error propagation; low diversity; rank deficiency MIMO channel; spatial correlated MIMO channels; spatial multiplexing system; statistical channel information feedback; statistical precoder design; transmit correlation matrix; Bit error rate; Channel state information; Degradation; Design optimization; Error probability; Feedback; MIMO; Pairwise error probability; Transceivers; Transmitters; CSI; MIMO; PEP bound; V-BLAST; spatial correlated; statistical precoder;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks and Signal Processing, 2008 International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-2310-1
Electronic_ISBN
978-1-4244-2311-8
Type
conf
DOI
10.1109/ICNNSP.2008.4590355
Filename
4590355
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