DocumentCode
728815
Title
MIMO Channel identification using the DOA and DOD estimation
Author
Hachad, L. ; Mrabti, F. ; Zouak, M. ; Mrabti, M.
Author_Institution
Lab. SSC, Fac. of Sci. & Technol., Fes, Morocco
fYear
2015
fDate
13-15 May 2015
Firstpage
86
Lastpage
89
Abstract
Channel identification finds direct application in the growing field of mobile wireless communications. In this paper, we address this problem in the context of multi-users: multiple-input multiple-output (MIMO) channels. To avoid scheduling at the reception we will proceed to a source separation (DOA and DOD estimation) then we will deduct the channel parameters. The estimation of the directions of departure (DOD) and directions of arrival (DOA), is based on the strong algebraic structure of tensor algebra: PARAFAC method. The Second Order Statistics (SOS) are used for the estimation of the impulse response´s parameters of the MIMO channel. The performance of the proposed method will be proved by the simulation study.
Keywords
MIMO communication; channel estimation; direction-of-arrival estimation; tensors; DOA estimation; DOD estimation; MIMO channel identification; PARAFAC method; channel parameters; directions of arrival; directions of departure; second order statistics; source separation; tensor algebra; Channel estimation; Direction-of-arrival estimation; Estimation; MIMO; Signal to noise ratio; Tensile stress; US Department of Defense; Array Processing; Channel estimation; MIMO (Multi Input Multi-Output); Tensor Algebra;
fLanguage
English
Publisher
ieee
Conference_Titel
RFID And Adaptive Wireless Sensor Networks (RAWSN), 2015 Third International Workshop on
Conference_Location
Agadir
Print_ISBN
978-1-4673-8095-9
Type
conf
DOI
10.1109/RAWSN.2015.7173286
Filename
7173286
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