Interacting Multiple Model Cubature Kalman Filter for Highly Maneuverable Target Tracking Using BOT
Author(s):
Article Type:
Research/Original Article (دارای رتبه معتبر)
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:
Language:
Persian
Published:
Journal of “Radar”, Volume:11 Issue: 1, Spring and Summer 2023
Pages:
67 to 80
https://www.magiran.com/p2865690
سامانه نویسندگان
اطلاعات نویسنده(گان) توسط ایشان ثبت و تکمیل شدهاست. برای مشاهده مشخصات و فهرست همه مطالب، صفحه رزومه را ببینید.
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