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- W140782893 abstract "For the non-maneuvering target, the trajectory can be predicted with the standard Kalman filtering model based on its precise mathematical model. But when the target is in motion, it is unrealistic to describe the state of the target accurately and it is difficult for the standard Kalman filtering algorithm to predict its trajectory effectively. Therefore a virtual noise & vary dimension Kalman filtering model (VN + VD model) is proposed in this paper for the maneuvering target tracking. VN + VD Kalman Filtering Model can track non-maneuvering or slight-maneuvering target by reflecting the changes of target maneuvering on the virtual noise with the low-dimensional model; and track maneuvering target with the high-dimensional model. The simulation results show the effectiveness of the algorithm." @default.
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- W140782893 date "2012-01-01" @default.
- W140782893 modified "2023-10-06" @default.
- W140782893 title "Virtual Noise and Variable Dimension Kalman Filter for Maneuvering Target Tracking" @default.
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- W140782893 doi "https://doi.org/10.1007/978-3-642-11276-8_122" @default.
- W140782893 hasPublicationYear "2012" @default.
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