Title :
Low-complexity channel and frequency offset estimation in MIMO systems
Author :
Hemesi, H. ; Azami, F. ; Ghorssi, A. ; Abdipour, A. ; Mohammadi, A.
Author_Institution :
Dept. of Electr. Eng., Amirkabir Univ. of Technol., Tehran
Abstract :
A low-complexity approach to the joint estimation of frequency offset and channel matrix in a MIMO flat-fading channel using a training sequence is presented. The frequency offsets for all transmit antennas are assumed to be equal. The proposed algorithm first computes an initial estimation. This estimation is good enough for most applications. To increase the accuracy of the estimation, approximation of ML function around its maximum point and finding the maximum point analytically is suggested. Simulation results are performed for a 4times4 MIMO system to show the effectiveness of the algorithm.
Keywords :
MIMO communication; channel estimation; computational complexity; fading channels; frequency estimation; function approximation; matrix algebra; maximum likelihood estimation; MIMO flat-fading channel; ML function approximation; channel matrix estimation; frequency offset estimation; low-complexity approach; transmit antenna;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:20080122
