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- W72488698 abstract "With a fading channel, standard ML detection of differential Unitary Space-Time modulation (DUST) leads to an error floor in the BERversus-SNR curve since it is derived under the assumption that the channel remains constant during every consecutive pair of matrix-symbols. Assuming knowledge of the channel fading correlations, we design multiple-symbol ML differential detectors which drastically reduce this error floor, especially for fastfading channels. Multiple-symbol differential detection has the additional benefit of reducing the 3dB loss in SNR (relative to coherent detection) that characterizes standard one-symbol differential detection. To derive these new detectors, we make the simplifying assumption that the channel changes once per matrix-symbol (i.e., block fading) rather than once per channel use (i.e., continuous fading). However, the block fading assumption is not required when diagonal codes are used. The simulation results show that, in spite of the block-fading assumption, the new receivers far outperform standard single-symbol detection under continuous fading as well." @default.
- W72488698 created "2016-06-24" @default.
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- W72488698 date "2004-01-01" @default.
- W72488698 modified "2023-09-27" @default.
- W72488698 title "Multiple-Symbol Detection of Differential Unitary Space-Time Modulation in Fast-Fading Channels with Known Correlation" @default.
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