Title : ( Adaptive channel SVD estimation for MIMO-OFDM systems )
Authors: G.Gulak , Hossein Zamiri-Jafarian ,
Full TextAbstract
In this paper we propose an adaptive estimation algorithm for channel matrix singular value decomposition (SVD) in multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems. The SVD method is an efficient approach to design space-time coding/decoding and detection algorithms in MIMO-OFDM systems. However, the SVD estimation may involve complex nonlinear optimization methods. The proposed algorithm in this paper is developed based on a two-step recursive method by utilizing the linear constrained least mean square (LMS) technique.
Keywords
SVD estimation
@inproceedings{paperid:1013053,
author = {G.Gulak and Zamiri-Jafarian, Hossein},
title = {Adaptive channel SVD estimation for MIMO-OFDM systems},
booktitle = {IEEE Vehicular Technology Conference, VTC2005},
year = {2005},
location = {Stockholm, Sweden},
keywords = {SVD estimation},
}
%0 Conference Proceedings
%T Adaptive channel SVD estimation for MIMO-OFDM systems
%A G.Gulak
%A Zamiri-Jafarian, Hossein
%J IEEE Vehicular Technology Conference, VTC2005
%D 2005
