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