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
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;
Conference_Titel :
RFID And Adaptive Wireless Sensor Networks (RAWSN), 2015 Third International Workshop on
Conference_Location :
Agadir
Print_ISBN :
978-1-4673-8095-9
DOI :
10.1109/RAWSN.2015.7173286