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- W2052806892 abstract "In this paper, we consider the problem of detecting the presence of a prospective, moving target from a set of noisy measurements. We propose a two-steps approach: The first step discards unreliable measurements (i.e., those whose likelihood ratio falls below a preassigned threshold); The second step, instead, exploits the correlation among observations taken at different time instants and makes the final decision. A novel, computationally efficient, track-before-detect algorithm which exploits the sparse nature of the measurements is proposed, and experimental results to asses the algorithm performance are provided." @default.
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- W2052806892 date "2012-08-01" @default.
- W2052806892 modified "2023-09-24" @default.
- W2052806892 title "A track-before-detect procedure for sparse data" @default.
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- W2052806892 doi "https://doi.org/10.1109/ssp.2012.6319818" @default.
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