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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Roemer, F. Sarmadi, N. Bin Song Haardt, M. Pesavento, M. Gershman, A.B. |
| Copyright Year | 2011 |
| Description | Author affiliation: Communications Research Laboratory, Ilmenau University of Technology, P. O. Box 100565, D-98694, Germany (Roemer, F.; Bin Song; Haardt, M.) || Communication Systems Group, Technische Universität Darmstadt, Merckstraße 25, 64283, Germany (Sarmadi, N.; Pesavento, M.; Gershman, A.B.) |
| 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. |
| Starting Page | 449 |
| Ending Page | 453 |
| File Size | 170865 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781467303217 |
| ISSN | 10586393 |
| e-ISBN | 9781467303231 |
| DOI | 10.1109/ACSSC.2011.6190039 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-11-06 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Channel estimation Loading Matrix decomposition Receivers Tensile stress Signal to noise ratio Vectors |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Computer Networks and Communications |
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