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- W2108099838 abstract "This paper compares the performance and computational complexity of two joint channel estimation and data detection algorithms for space-time trellis codes (STTCs) over time-varying flat fading channels. The first algorithm, the maximum a posteriori probability-per survivor processing (MAP-PSP), employs an improved survivor branch decision technique based on the symbol by symbol MAP criterion, with a fixed delay. This delay allows future received symbols to be utilized in the decision making, resulting in a more reliable survivor branch selection than in the conventional PSP. The second one is based on a delayed mixture Kalman filtering (MKF) technique, where importance samples and weights take into account also future received symbols. Simulation results show that the MAP-PSP algorithm substantially outperforms the delayed MKF algorithm with a lower computational complexity." @default.
- W2108099838 created "2016-06-24" @default.
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- W2108099838 date "2007-01-01" @default.
- W2108099838 modified "2023-09-26" @default.
- W2108099838 title "Performance/Complexity Comparison between MAP-PSP and Mixture Kalman Filtering for Joint Estimation and Detection of STTCs" @default.
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- W2108099838 doi "https://doi.org/10.1109/ccece.2007.122" @default.
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