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Conference papers
An Innovative Nonlinear Filter for Radar Kinematic Estimation of Maneuvering Targets in 2D
Abstract : In this paper we consider the problem of tracking a target in a 2D space whose model is based on a constant velocity assumption (up to a process noise) in the Frenet-Serret frame (or intrinsic coordinates). This model is particularly suited to straight lines and coordinated turn motions. Then, we adapt the Invariant Extended Kalman Filter (I-EKF), as in [1], a novel variant of the EKF on Lie groups, to suit this dynamical model. Numerical experiments inspired by real fighter trajectories confirm the validity of our approach.
Cited literature [16 references]
https://hal-mines-paristech.archives-ouvertes.fr/hal-01692475
Contributor : Marion Pilté <>
Submitted on : Thursday, January 25, 2018 - 11:01:13 AM
Last modification on : Wednesday, October 14, 2020 - 3:52:34 AM
Long-term archiving on: : Thursday, May 24, 2018 - 10:49:10 PM
Contributor : Marion Pilté <>
Submitted on : Thursday, January 25, 2018 - 11:01:13 AM
Last modification on : Wednesday, October 14, 2020 - 3:52:34 AM
Long-term archiving on: : Thursday, May 24, 2018 - 10:49:10 PM
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