DocumentCode
3414390
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
fYear
2008
fDate
March 31 2008-April 4 2008
Firstpage
2381
Lastpage
2384
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
Conference_Location
Las Vegas, NV
ISSN
1520-6149
Print_ISBN
978-1-4244-1483-3
Electronic_ISBN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2008.4518126
Filename
4518126
Link To Document