An innovative non-linear 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.
Liste complète des métadonnées

Littérature citée [20 références]  Voir  Masquer  Télécharger

https://hal-mines-paristech.archives-ouvertes.fr/hal-01982801
Contributeur : Silvere Bonnabel <>
Soumis le : lundi 6 mai 2019 - 04:11:28
Dernière modification le : vendredi 10 mai 2019 - 01:36:45

Fichier

IRS_17_abstract.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Citation

Marion Pilté, Silvère Bonnabel, Frédéric Barbaresco. An innovative non-linear filter for radar kinematic estimation of maneuvering targets in 2D. 18th International Radar Symposium (IRS), Jun 2017, Prague, Czech Republic. ⟨10.23919/IRS.2017.8008156⟩. ⟨hal-01982801⟩

Partager

Métriques

Consultations de la notice

39

Téléchargements de fichiers

26