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• W2212063709 abstract "This paper considers the problem of tracking a dynamic sparse channel in a broadband wireless communication system. A probabilistic signal model is firstly proposed to describe the special features of temporal correlations of dynamic sparse channels: path delays change slowly over time, while path gains evolve faster. Based on such temporal correlations, we then propose the differential orthogonal matching pursuit (D-OMP) algorithm to track a dynamic sparse channel in a sequential way by updating the small channel variation over time. Compared with other channel tracking algorithms, simulation results demonstrate that the proposed D-OMP algorithm can track dynamic sparse channels faster with improved accuracy." @default.
• W2212063709 created "2016-06-24" @default.
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• W2212063709 date "2015-10-01" @default.
• W2212063709 modified "2023-10-01" @default.
• W2212063709 title "Tracking a dynamic sparse channel via differential orthogonal matching pursuit" @default.
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• W2212063709 doi "https://doi.org/10.1109/milcom.2015.7357541" @default.
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