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 / Battilotti, Stefano; Cacace, Filippo; D'Angelo, Massimiliano; Della Corte, Emanuele; Germani, Alfredo. - (2022), pp. 254-259. (Intervento presentato al convegno 2022 American Control Conference, ACC 2022 tenutosi a Atlanta, GA (USA)) [10.23919/ACC53348.2022.9867691].

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

Stefano Battilotti;Massimiliano d’Angelo
;
Alfredo Germani
2022

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
2022 American Control Conference, ACC 2022
target tracking; Kalman filtering; heavy tailed noise; glint noise; non-Gaussian systems
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Filtering of systems with heavy tailed noise: application to 3D target tracking with glint noise / Battilotti, Stefano; Cacace, Filippo; D'Angelo, Massimiliano; Della Corte, Emanuele; Germani, Alfredo. - (2022), pp. 254-259. (Intervento presentato al convegno 2022 American Control Conference, ACC 2022 tenutosi a Atlanta, GA (USA)) [10.23919/ACC53348.2022.9867691].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1625163
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