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- W4200259329 abstract "The time-varying angular velocity state estimation of a UAV turning from a large field of view to a small field of view is a maneuvering target estimation problem. Firstly, based on the curvilinear motion model of the target, two kinds of nonlinear target maneuvering models are established by the state amplification method according to two different velocity expressions, namely the Cartesian velocity constant turning maneuver (CVCT) model and the polar velocity constant turning (PVCT) model. Secondly, the CVVT model and PVVT model are re-established by assuming the time-varying angular velocity as a zero mean first order Markov (ZFOM) process. Finally, the simulation experiment is carried out in combination with UKF filtering algorithm. The experimental results show that the PVVT-UKF model has higher accuracy in angular velocity, position and velocity estimation when the angular velocity is the time-varying slope function." @default.
- W4200259329 created "2021-12-31" @default.
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- W4200259329 date "2021-10-14" @default.
- W4200259329 modified "2023-09-26" @default.
- W4200259329 title "State Estimation Algorithm of the Maneuvering Target with the Time-varying Angular Velocity" @default.
- W4200259329 doi "https://doi.org/10.1109/iccais52680.2021.9624542" @default.
- W4200259329 hasPublicationYear "2021" @default.
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