DocumentCode :
3147534
Title :
Eigenvalue-based memoryless MIMO channel decomposition
Author :
Qiu Dong dong ; Jin Hua song ; Sun Yang jiang ; Yuhua Ma
Author_Institution :
Maritime Tracking & Controlling Dept., China Satellite, Jiangyin, China
fYear :
2012
fDate :
9-11 Nov. 2012
Firstpage :
1
Lastpage :
4
Abstract :
MIMO (multiple-input-multiple-output) is a technique in which the signal is transmitted through the actual channels. In order to further understand MIMO communication, this paper has conducted MIMO channel decomposition in theory. First, we introduce the actual MIMO channel model and detection model. Then, we decompose the actual MIMO channel into virtual parallel multiple single-input-single-output channels based on eigenvalues. After decomposition, the physical meaning of a virtual channel and mathematical distribution model of the transmit signal are finally given.
Keywords :
MIMO communication; memoryless systems; wireless channels; MIMO channel model; MIMO communication; detection model; eigenvalue; memoryless MIMO channel decomposition; multiple input multiple output technique; virtual parallel multiple single input single output channels; Detectors; Eigenvalues and eigenfunctions; MIMO; Matched filters; Mathematical model; Receivers; Eigenvalue; MIMO; MULTI-SIS; decomposition; linear detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Analysis and Signal Processing (IASP), 2012 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-2547-9
Type :
conf
DOI :
10.1109/IASP.2012.6425017
Filename :
6425017
Link To Document :
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