DocumentCode
1684731
Title
Iterative MIMO channel SVD estimation
Author
Zamiri-Jafarian, H. ; Gulak, G.
Author_Institution
Dept. of Electr. & Comput. Eng., Toronto Univ., Ont., Canada
Volume
2
fYear
2005
Firstpage
1157
Abstract
An iterative algorithm is proposed in this paper to estimate the singular value decomposition (SVD) of multiple-input multiple-output (MIMO) channel from the received signal. The proposed algorithm is based on the constrained minimum mean-square error (MMSE) criterion. For different numbers of transmitter and receiver antennas, simulation results show that the iterative algorithm achieves good performance with respect to the SVD estimation of the MIMO channel matrix.
Keywords
MIMO systems; antenna arrays; channel estimation; iterative methods; least mean squares methods; receiving antennas; singular value decomposition; transmitting antennas; iterative MIMO channel SVD estimation; minimum mean-square error criterion; multiple-input multiple-output; receiver antenna; singular value decomposition; transmitter antenna; AWGN; Channel estimation; Channel state information; Iterative algorithms; MIMO; Matrix decomposition; Receiving antennas; Singular value decomposition; Transmitters; Transmitting antennas;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, 2005. ICC 2005. 2005 IEEE International Conference on
Print_ISBN
0-7803-8938-7
Type
conf
DOI
10.1109/ICC.2005.1494529
Filename
1494529
Link To Document