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- W2071433359 abstract "This study presents a novel adaptive grid interacting multiple model based on modified iterated extended Kalman filter (AGIMM-MIEKF) for tracking a manoeuvreing target using radar/infrared (IR) heterogeneous sensors. This tracking algorithm is developed by aligning observation data of radar/IR sensors in time, and fusing the synthesised data before applying to AGIMM-MIEKF algorithm. Under the architecture of the proposed algorithm, the AGIMM deals with the model switching, whereas the MIEKF accounts for non-linearity in the dynamic system models. A new measurement update equation and an iterated termination criterion are derived and applied to radar/IR tracking system. The simulation results show that the presented AGIMM-MIEKF has higher tracking precision than the traditional algorithms." @default.
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- W2071433359 date "2014-09-01" @default.
- W2071433359 modified "2023-10-02" @default.
- W2071433359 title "Tracking algorithm with radar and infrared sensors using a novel adaptive grid interacting multiple model" @default.
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- W2071433359 doi "https://doi.org/10.1049/iet-smt.2013.0020" @default.
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