Title :
Blind channel estimation in MIMO-OFDM systems using semi-definite relaxation
Author :
Sarmadi, Nima ; Gershman, Alex B. ; ShahbazPanahi, Shahram
Author_Institution :
Commun. Syst. Group, Tech. Univ. Darmstadt, Darmstadt
fDate :
March 31 2008-April 4 2008
Abstract :
A new blind channel estimation technique for multiple-input multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) systems is proposed. It estimates the channel parameters in the time domain jointly for all subcarriers instead of doing this in the frequency domain independently for each subcarrier. This results in a substantially improved parsimony of the channel parameterization along with the ability to use coherent processing across the subcarriers. It is shown that using semi-definite relaxation (SDR), our channel estimation problem can be transferred to a convex form and then solved efficiently using modern convex optimization tools.
Keywords :
MIMO communication; OFDM modulation; channel estimation; convex programming; relaxation theory; time-domain analysis; MIMO-OFDM systems; blind channel estimation; convex optimization; multiple-input multiple-output systems; orthogonal frequency-division multiplexing; parameter estimation; semi definite relaxation; time domain analysis; Blind equalizers; Channel estimation; Fading; Frequency division multiplexing; Frequency domain analysis; Frequency estimation; MIMO; Receiving antennas; Transmitters; Transmitting antennas; Blind channel estimation; MIMO-OFDM systems; semi-definite relaxation; space-frequency coding;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4244-1483-3
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2008.4518126