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- W3085380248 abstract "The problem addressed in this paper is the tracking a maneuvering target in a distributed sensor network using a real-world-motivated fusion configuration. The local node $mathrm{S}_{mathrm{L}}$ receives a track from the remote node $mathrm{S}_{mathrm{R}}$ generated by its Interacting Multiple Model (IMM) estimator, and the “inside information” such as motion models, mode probabilities and mode-conditioned estimates of the remote track is unknown. The local node $mathrm{S}_{mathrm{L}}$ has its own measurements which need to be fused with the remote IMM track. This problem can be solved using an existing technique with the following steps: 1) generate a $mathrm{S}_{mathrm{L}}$ track based on its own measurements; 2) perform Track-to-Track Fusion (T2TF) on $mathrm{S}_{mathrm{R}}$ and $mathrm{S}_{L}$ tracks. This paper will develop an alternative approach to fuse the remote IMM track and the local measurements directly. We called it the IMM Cumulated information Fusion (IMM-CFusion). The IMM-CFusion estimates the cumulated information of the local S L measurements with multiple models, and then fuses this cumulated information with the remote IMM track state. The IMM-CFusion shows better performance than the T2TF approach in a test case." @default.
- W3085380248 created "2020-09-21" @default.
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- W3085380248 date "2020-07-01" @default.
- W3085380248 modified "2023-09-26" @default.
- W3085380248 title "Adaptive IMM-CFusion for a Remote IMM Track and Local Measurements" @default.
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- W3085380248 doi "https://doi.org/10.23919/fusion45008.2020.9190354" @default.
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