Title :
Iterative MIMO channel SVD estimation
Author :
Zamiri-Jafarian, H. ; Gulak, G.
Author_Institution :
Dept. of Electr. & Comput. Eng., Toronto Univ., Ont., Canada
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;
Conference_Titel :
Communications, 2005. ICC 2005. 2005 IEEE International Conference on
Print_ISBN :
0-7803-8938-7
DOI :
10.1109/ICC.2005.1494529
