The generation of a Distributed SAR (DSAR) image can be achieved by combining, both in amplitude and in phase, a stack of low performance bistatic raw matrixes. The paper addresses the complexity of multi-platform image formation developing a high-fidelity simulation tool for the generation of DSAR products, which is useful for the validation of theoretical performance models and thus for both system/payload design and mission analysis.

Simulation of Distributed SAR images by multi-platform image synthesis: Application to a CubeSats formation / Gigantino, A.; Graziano, M. D.; Renga, A.; Moccia, A.. - 2022-:(2022), pp. 821-826. (Intervento presentato al convegno 14th European Conference on Synthetic Aperture Radar, EUSAR 2022 tenutosi a KONGRESSHALLE am Zoo Leipzig, Pfaffendorfer Strasse 31, deu nel 2022).

Simulation of Distributed SAR images by multi-platform image synthesis: Application to a CubeSats formation

Gigantino A.;Graziano M. D.;Renga A.;Moccia A.
2022

Abstract

The generation of a Distributed SAR (DSAR) image can be achieved by combining, both in amplitude and in phase, a stack of low performance bistatic raw matrixes. The paper addresses the complexity of multi-platform image formation developing a high-fidelity simulation tool for the generation of DSAR products, which is useful for the validation of theoretical performance models and thus for both system/payload design and mission analysis.
2022
978-3-8007-5823-4
Simulation of Distributed SAR images by multi-platform image synthesis: Application to a CubeSats formation / Gigantino, A.; Graziano, M. D.; Renga, A.; Moccia, A.. - 2022-:(2022), pp. 821-826. (Intervento presentato al convegno 14th European Conference on Synthetic Aperture Radar, EUSAR 2022 tenutosi a KONGRESSHALLE am Zoo Leipzig, Pfaffendorfer Strasse 31, deu nel 2022).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/911406
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