Abstract
The orthogonal space-time block code (OSTBC) and cooperative relaying schemes are the two major spatial diversity techniques to achieve high link reliability in any wireless communication system. Typically, the OSTBC based cooperative amplify-and-forward relaying system achieves optimal diversity gain with simple linear decoding by assuming that the channels remain quasi-static during the length of the Alamouti code-word symbol periods. However, due to time selective fading or relay node’s mobility, the quasi-static assumptions does not hold good and causes severe error floor in the system. In this paper, at first, we have investigated various conventional signal detection methods to improve the system performance which include Alamouti and quasi-ML detection (QMLD) methods. Then, we derive the exact closed-form signal-to-interference-plus-noise ratio expression for the Alamouti method and signal-to-noise ratio for the QMLD method. Based on this performance analysis, we propose a decision feedback detection (DFD) which is a hybrid of Alamouti and QMLD methods. The simulation results show that the proposed DFD method significantly outperforms the conventional QMLD method under high mobility channel environment.
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Patra, J.P., Singh, P. On Signal Detection for OSTBC-Based Amplify-and-Forward Cooperative Relaying System Over Time Selective Channel. Wireless Pers Commun 101, 2209–2226 (2018). https://doi.org/10.1007/s11277-018-5812-4
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DOI: https://doi.org/10.1007/s11277-018-5812-4