GNSS-based passive radar has been recently proved able to enable moving target detection in maritime surveillance applications. The main restriction lies in the low Equivalent Isotropic Radiated Power (EIRP) level of navigation satellites. Extending the integration times with proper target motion compensation has been shown to be a viable solution to improve ship detectability, but this involves computational complexity and increasing sensitivity to motion model mismatches. In this work, we consider the application of a Track-Before-Detect (TBD) method to considerably increase the integration time (and therefore the detection capability) at the same time keeping the computational complexity affordable by practical systems. Dynamic programming TBD algorithms have been specialized for the considered framework and tested against experimental dataset. The obtained results show the effectiveness of this approach to improve the detection capability of the system despite the restricted power budget.

Application of track-before-detect techniques in GNSS-based passive radar for maritime surveillance / Santi, F.; Pastina, D.. - (2019), pp. 1-6. (Intervento presentato al convegno 2019 IEEE Radar Conference, RadarConf 2019 tenutosi a Boston; United States) [10.1109/RADAR.2019.8835540].

Application of track-before-detect techniques in GNSS-based passive radar for maritime surveillance

Santi F.;Pastina D.
2019

Abstract

GNSS-based passive radar has been recently proved able to enable moving target detection in maritime surveillance applications. The main restriction lies in the low Equivalent Isotropic Radiated Power (EIRP) level of navigation satellites. Extending the integration times with proper target motion compensation has been shown to be a viable solution to improve ship detectability, but this involves computational complexity and increasing sensitivity to motion model mismatches. In this work, we consider the application of a Track-Before-Detect (TBD) method to considerably increase the integration time (and therefore the detection capability) at the same time keeping the computational complexity affordable by practical systems. Dynamic programming TBD algorithms have been specialized for the considered framework and tested against experimental dataset. The obtained results show the effectiveness of this approach to improve the detection capability of the system despite the restricted power budget.
2019
2019 IEEE Radar Conference, RadarConf 2019
GNSS-based passive radar; long-integration time; maritime surveillance; track-before-detect
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Application of track-before-detect techniques in GNSS-based passive radar for maritime surveillance / Santi, F.; Pastina, D.. - (2019), pp. 1-6. (Intervento presentato al convegno 2019 IEEE Radar Conference, RadarConf 2019 tenutosi a Boston; United States) [10.1109/RADAR.2019.8835540].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1392726
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