A Circular IMM Filter Applied to a Maneuvering Target

Authors

  • Karim El mokhtari Laboratory of Computer Science, Systems and Telecommunications (LIST), Faculty of Sciences and Technologies, Université Abdelmalek Essaadi, Morocco
  • Serge Reboul Laboratoire d’Informatique Signal et Image de la Côte d’Opale, Littoral Côte d’Opale University, Université Lille Nord de France, 50, rue Ferdinand Buisson BP 719, 62228 Calais Cedex, France
  • Jean-Bernard Choquel Laboratoire d’Informatique Signal et Image de la Côte d’Opale, Littoral Côte d’Opale University, Université Lille Nord de France, 50, rue Ferdinand Buisson BP 719, 62228 Calais Cedex, France
  • Benaissa Amami Laboratory of Computer Science, Systems and Telecommunications (LIST),Faculty of Sciences and Technologies, BP 416, 90000, Tangier, Morocco
  • Mohammed Benjelloun Laboratoire d’Informatique Signal et Image de la Côte d’Opale, Littoral Côte d’Opale University, Université Lille Nord de France, 50, rue Ferdinand Buisson BP 719, 62228 Calais Cedex, France

DOI:

https://doi.org/10.17722/ijrbt.v10i3.286

Keywords:

angular estimation, heading estimation, IMM, circular filter, circular IMM, maneuver detection

Abstract

One of the main problem in maneuver detection in angle-only observation applications is the model change during the maneuver that creates a peak in the estimate error. We propose in this paper to estimate a vehicle’s heading using a Circular IMM defined in the bayesian framework and using the von Mises distribution. The performances of this novel filter is compared with a circular filter and a classical Kalman Filter in a Y shape road.

Downloads

Published

2018-02-28

Issue

Vol. 10 No. 3 (2018): International Journal of Research in Business and Technology

Section

Articles