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- W2334893464 abstract "The multi-target multi-scan smoothing algorithm, which is an extended version of the smoothing integrated track splitting (sITS) algorithm, is presented in this study. The differences between the sITS and the proposed algorithms are that the (iterative) joint integrated track splitting (ITS) algorithm is applied and joint data association probabilities are used for the backward ITS update. A comparative assessment of the smoothing/non-smoothing and single-target/multi-target data association algorithm is carried out to verify the false track discrimination, trajectory estimation and track retention performances." @default.
- W2334893464 created "2016-06-24" @default.
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- W2334893464 date "2016-08-01" @default.
- W2334893464 modified "2023-10-02" @default.
- W2334893464 title "Multi‐target multi‐scan smoothing in clutter" @default.
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- W2334893464 doi "https://doi.org/10.1049/iet-rsn.2015.0509" @default.
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