A training-based iterative detection/channel estimation scheme for large non-orthogonal (2009)
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| Venue: | STBC MIMO systems,” in Proc. IEEE ICC’2009 |
| Citations: | 1 - 1 self |
BibTeX
@INPROCEEDINGS{Zaki09atraining-based,
author = {Ahmed Zaki and Saif K. Mohammed and A. Chockalingam and B. Sundar Rajan},
title = {A training-based iterative detection/channel estimation scheme for large non-orthogonal},
booktitle = {STBC MIMO systems,” in Proc. IEEE ICC’2009},
year = {2009},
pages = {1--5}
}
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Abstract
Abstract—In this paper, we propose a training-based channel estimation scheme for large non-orthogonal space-time block coded (STBC) MIMO systems. The proposed scheme employs a block transmission strategy where an Nt × Nt pilot matrix is sent (for training purposes) followed by several Nt × Nt square data STBC matrices, where Nt is the number of transmit antennas. At the receiver, we iterate between channel estimation (using an MMSE estimator) and detection (using a low-complexity likelihood ascent search (LAS) detector) till convergence or for a fixed number of iterations. Our simulation results show that excellent bit error rate and nearness-to-capacity performance are achieved by the proposed scheme at low complexities. The fact that we could show such good results for large STBCs (e.g., 16×16 STBC from cyclic division algebras) operating at spectral efficiencies in excess of 20 bps/Hz (even after accounting for the overheads meant for pilot-based channel estimation and turbo coding) establishes the effectiveness of the proposed scheme. I.
