Title :
Maximum likelihood MIMO channel tracking
Author :
Karami, Ehrahim ; Shiva, Mohsen
Author_Institution :
Iran Telecommun. Res. Center, Tehran, Iran
Abstract :
A new tracking algorithm, based on the maximum likelihood (ML) algorithm for time-varying flat fading multiple-input multiple-output (MIMO) channels, is introduced. The maximum likelihood algorithm is optimum with known channel model assumptions. The performance and tracking behavior of the proposed algorithm is justified via various simulations for a first-order time-varying MIMO channel, and it is shown that this algorithm is applicable, even for moderately fast Rayleigh fading MIMO channels.
Keywords :
MIMO systems; Rayleigh channels; channel estimation; maximum likelihood estimation; time-varying channels; ML algorithm; Rayleigh fading channels; channel estimation; channel model assumptions; flat fading channels; maximum likelihood MIMO channel tracking; multiple-input multiple-output channels; next generation wireless communication systems; time-varying channels; Channel estimation; Detection algorithms; Diversity methods; Interference; MIMO; Maximum likelihood detection; Maximum likelihood estimation; Rayleigh channels; Training data; Wireless communication;
Conference_Titel :
Vehicular Technology Conference, 2004. VTC 2004-Spring. 2004 IEEE 59th
Print_ISBN :
0-7803-8255-2
DOI :
10.1109/VETECS.2004.1388955
