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- W2165568771 abstract "In this letter, we propose an expectation maximization (EM)-based algorithm for semi-blind channel estimation of reciprocal channels in amplify-and-forward (AF) two-way relay networks (TWRNs). By utilizing data samples as well as pilots, the proposed algorithm provides substantially higher estimation accuracy than the conventional training-based least squares (LS) estimator without incurring a significant computational cost. Simulation results also show that it performs very close to the corresponding semi-blind Cramer-Rao bound." @default.
- W2165568771 created "2016-06-24" @default.
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- W2165568771 date "2013-10-01" @default.
- W2165568771 modified "2023-09-23" @default.
- W2165568771 title "EM-Based Semi-Blind Channel Estimation in Amplify-and-Forward Two-Way Relay Networks" @default.
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- W2165568771 doi "https://doi.org/10.1109/wcl.2013.070113.130406" @default.
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