Title :
Optimization of training sequences for spatially correlated MIMO-OFDM
Author :
Tuan, H.D. ; Luong, V.-J. ; Nguyen, H.H.
Author_Institution :
Sch. of Electr. Eng. & Telecommun., Univ. of New South Wales, Sydney, NSW
Abstract :
The optimal training sequence for channel estimation in spatially correlated multiple-input multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) systems has not been found for an arbitrary signal-to-noise ratio (SNR). Only one class of training sequences was proposed in the literature in which the power allocation is given only for the extreme conditions of low and high SNR. Provided in this paper are (i) a necessary and sufficient condition for the optimal training sequence together with a convex programming to find the solution, and (ii) efficient procedures to find the optimal training sequence. Simulation results confirms the superiority of the proposed design over the existing one.
Keywords :
MIMO communication; OFDM modulation; channel allocation; channel estimation; convex programming; correlation methods; wireless channels; SNR; arbitrary signal-to-noise ratio; channel estimation; convex programming; multiple-input multiple-output systems; optimal training sequence; orthogonal frequency-division multiplexing; power allocation; spatially correlated MIMO-OFDM; Channel estimation; Fading; Frequency; MIMO; Random variables; Receiving antennas; Signal to noise ratio; Sufficient conditions; Symmetric matrices; Transmitting antennas; MIMO-OFDM; MMSE channel estimation; spatially correlated fading; training sequence;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-2353-8
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2009.4960175
