Title :
Channel estimation for an SVD-MIMO System
Author :
Lebrun, G. ; Spiteri, S. ; Faulkner, M.
Author_Institution :
Centre for Telecommun. & Micro-electronics, Victoria Univ., Melbourne, Vic., Australia
Abstract :
Systems using singular value decomposition (SVD) over multiple-input multiple-output (MIMO) channel require the channel state information (CSI) at the transmitter and the receiver. The receiver retrieves CSI through estimation of pilot symbols from which it calculates an optimum decoding matrix. However, the pilots are affected by noise and provide an incorrect CSI. In a slow fading channel, tracking the channel in time can improve the estimated CSI. The tracking can occur on the CSI itself, or directly on the coefficients of the MIMO decoding matrix. It is shown that tracking of the CSI provides a better estimate of the MIMO decoding matrix than direct tracking of matrix itself.
Keywords :
MIMO systems; channel estimation; decoding; fading channels; matrix algebra; multipath channels; radio receivers; radio transmitters; singular value decomposition; tracking; MIMO decoding matrix; SVD-MIMO system; channel state information; fading channel; multiple-input multiple-output channel; radio receiver; radio transmitter; singular value decomposition; AWGN; Channel estimation; Decoding; Diversity methods; Fading; Finite impulse response filter; MIMO; Matrix decomposition; Transmitters; Wiener filter;
Conference_Titel :
Communications, 2004 IEEE International Conference on
Print_ISBN :
0-7803-8533-0
DOI :
10.1109/ICC.2004.1313087