Paper Info
Title
Tensor-based semi-blind channel estimation for MIMO OSTBC-coded systems
Abstract
We propose a novel semi-blind tensor-based MIMO channel estimation scheme that employs orthogonal space-time block codes and per-antenna power loading at the transmitter. Our scheme eliminates the unknown transmit codewords and constructs a tensor model that contains the channel coefficients by performing post-processing at the receiver. Then, the channel matrix has been found through appropriate tensor decompositions of the post-processed data. Since the inherent structure of the data model has been exploited, we obtain a more accurate channel estimate compared to previously devised matrix-based approaches. Further, introduced ambiguities have been resolved via additional pilot symbols in a semi-blind manner. Simulation results demonstrate performance improvements of our proposed tensor-based approach with respect to some current state-of-the-art semi-blind channel estimation schemes.
Year
DOI
Venue
2011
10.1109/ACSSC.2011.6190039
Signals, Systems and Computers
Keywords
DocType
ISSN
MIMO communication,channel estimation,orthogonal codes,radio receivers,radio transmitters,space-time block codes,MIMO OSTBC-coded systems,channel coefficients,channel matrix,data model,orthogonal space-time block codes,per-antenna power loading,pilot symbols,tensor-based semi-blind channel estimation
Conference
1058-6393
ISBN
Citations 
PageRank 
978-1-4673-0321-7
0
0.34
References 
Authors
0
6
Name
Order
Citations
PageRank
Florian Roemer141038.82
Nima Sarmadi2252.58
Bin Song3303.79
Martin Haardt43531311.32
Marius Pesavento561872.23
alex b gershman692066.97