Interacting Multiple Model Cubature Kalman Filter for Highly Maneuverable Target Tracking Using BOT

Document Type : Original Article

Authors

1 PhD student, Malek Ashtar University of Technology, Tehran, Iran

2 Associate Professor, Malek Ashtar University of Technology, Tehran, Iran

3 Assistant Professor, Malik Ashtar University of Technology, Tehran, Iran

Abstract

The BOT method, minimizes the possibility of detection by the other party due to its inactivity. Tracking of moving underwater targets, by submarines, requires the use of a chain of passive target observation over time. In this case, the improvement of the target estimation depends on the proper maneuver of the submarine to increase the observability. Also since the moving target can have different models, Interactive Multiple Model (IMM) should be used to improve the tracking accuracy of maneuvering targets. On the other hand, due to the non-linearity of the measurement equations and the target motion equations, it is better to use the Cubature Kalman Filter (CKF) to improve the tracking accuracy. In this article, the IMM-CKF filter is used to track the highly maneuverable target in a situation where there is only one observation of it at any moment. The simulation results of the proposed method and its comparison with the extended and unscented multi-model Kalman interaction filters as well as the new pseudo-linear Kalman filter (PLKF) show that the performance of IMM-CKF is suitable in parts of the movement that have intense maneuvers. It is better than other methods

Keywords

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Radar
Volume 11, Issue 1
Serial number 29, spring and summer quarterly
August 2023

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History

  • Receive Date: 11 May 2023
  • Revise Date: 16 July 2023
  • Accept Date: 02 August 2023
  • Publish Date: 23 August 2023

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