Polynomial chaos Kalman filter for target tracking applications

Polynomial chaos Kalman filter for target tracking applications

Abstract In this paper, an approximate Gaussian state estimator is developed based on generalised polynomial chaos expansion for target tracking applications. Motivated by the fact that calculating conditional moments in an approximate Gaussian filter involves computing integrals with respect to Gau...

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Bibliographic Details
Main Authors: Kundan Kumar, Ranjeet Kumar Tiwari, Shovan Bhaumik, Paresh Date
Format: Article
Language:English
Published: Wiley 2023-02-01
Series:IET Radar, Sonar & Navigation
Subjects:
bearings‐only tracking
collocation points
Kalman filter
multiple models
polynomial chaos expansion
state estimation
Online Access:https://doi.org/10.1049/rsn2.12338

Internet

https://doi.org/10.1049/rsn2.12338

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