In this paper a filtering method for non-Gaussian linear systems is adopted to face the problem of the target tracking in the presence of the glint noise. In particular, we extend the quadratic filtering method with virtual measurements to the three-dimensional case of the target tracking problem. Moreover, we present extensive numerical simulation by comparing our method with several filtering algorithms used in the case of heavy tailed noises. The latter numerical results confirm the effectiveness of the proposed approach.

Filtering of systems with heavy tailed noise: application to 3D target tracking with glint noise

Cacace F.
Methodology
;
2022-01-01

Abstract

In this paper a filtering method for non-Gaussian linear systems is adopted to face the problem of the target tracking in the presence of the glint noise. In particular, we extend the quadratic filtering method with virtual measurements to the three-dimensional case of the target tracking problem. Moreover, we present extensive numerical simulation by comparing our method with several filtering algorithms used in the case of heavy tailed noises. The latter numerical results confirm the effectiveness of the proposed approach.
2022
glint noise; heavy tailed noise; Kalman filtering; non-Gaussian systems; target tracking
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12610/80703
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