EKF Application on Estimating Missile Guidance Signals

Auteurs-es

  • Martina Liberato Università Politecnica delle Marche
  • Emidio Pizzingrilli MBDA Missile Systems
  • Sauro Longhi Università Politecnica delle Marche

DOI :

https://doi.org/10.1685/

Mots-clés :

Target tracking, Extended Kalman Filter, Line of sight rate

Résumé

An Extended Kalman Filter (EKF) application has been developed to estimate relative position, relative velocity, Line Of Sight (LOS), LOS rate and target acceleration in the nonlinear missile-target relative kinematics. The used measures come from a strapdown seeker and an IMU. In order to improve the guidance performance, the setting of the filter against different types of target maneuvers has been studied. In all considered scenarios the EKF yields a remarkable improvement of miss distance values. The used approach and the filter set-up allow to include uncertainties such as misalignments, non synchronisms between sensors or seeker measures aberrations. The introduction of a supervision to adapt the setting to different identified target manoeuvres could be developed. [DOI: 10.1685/CSC09323] About DOI

Téléchargements

Publié

2009-08-12

Numéro

Vol. 3 (2009)

Rubrique

Articles

Licence

Authors who submit to this journal agree to the following terms: a) Authors retain copyright over their work, while allowing the SIMAI to place this accepted work under a Creative Commons Attribution License (CC license), which allows others to freely access, use, and share the work, with an acknowledgement of the work's authorship. b) Authors are able to waive the terms of the CC license and enter into separate, additional contractual arrangements for the non-exclusive distribution and subsequent publication of this work (e.g., publish a revised version in a journal, post it to an institutional repository or publish it in a book). with an acknowledgement of its initial publication on “Communications to SIMAI Congress”. c) In addition, authors are encouraged to post and share their work online (e.g., in institutional repositories or on their website).