DocumentCode
3246067
Title
Space-Time Spreading MIMO System Using Canonical Precoding Tensor Model
Author
De Almeida, André L F ; Favier, Gérard ; Fernandes, Carlos A R ; Mota, João C M
Author_Institution
UNSA, Nice
fYear
2007
fDate
4-7 Nov. 2007
Firstpage
470
Lastpage
474
Abstract
We consider a multiple input multiple output (MIMO) antenna system based on Space-Time Spreading (STS), where multiple data streams are preceded across space and time dimensions using multiple spreading codes. We propose a canonical precoding structure based on a CONstrained FACtor (CONFAC) decomposition of a tensor. The precoder tensor is decomposed as a function of three canonical (constraint) matrices that define the allocation of data streams and spreading codes to transmit antennas. Different STS schemes can be derived with the proposed modeling framework by simply adjusting the canonical precoder structure. The uniqueness property of the CONFAC decomposition allows a blind joint detection/channel estimation with the knowledge or not of the spreading codes.
Keywords
MIMO systems; blind source separation; channel estimation; matrix algebra; space-time codes; transmitting antennas; CONFAC decomposition; STS schemes; blind joint detection; canonical matrices; canonical precoding structure; canonical precoding tensor model; channel estimation; constrained factor decomposition; multiple data streams; multiple input multiple output antenna system; multiple spreading codes; space-time spreading MIMO system; transmit antennas; Channel estimation; Electronic mail; MIMO; Matrix decomposition; Multiaccess communication; Sociotechnical systems; Space technology; Tensile stress; Transmitting antennas; Wireless communication;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems and Computers, 2007. ACSSC 2007. Conference Record of the Forty-First Asilomar Conference on
Conference_Location
Pacific Grove, CA
ISSN
1058-6393
Print_ISBN
978-1-4244-2109-1
Electronic_ISBN
1058-6393
Type
conf
DOI
10.1109/ACSSC.2007.4487255
Filename
4487255
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