This paper focuses on the multi-platform image synthesis, i.e. the capability to synthesize an image of improved performance combining, both in amplitude and in phase, a stack of low performance bistatic images collected by formation-flying cubesat receivers. This is the case of RODiO mission, an innovative mission concept selected by the Italian Space Agency (ASI) for a phase A study in the framework of Alcor program. The mission relies on a cluster of 4 passive CubeSats flying in formation with ASI PLATiNO-1 (PLT-1) Synthetic Aperture Radar (SAR) mission. The problem of beamforming and focusing is discussed in the paper through analysis and simulations, by implementing a time domain multi-static beamforming algorithm which is able to both improve the Signal-to-Noise Ratio (SNR) and the level of ambiguities in the generated images, making the relevant values compliant with high-quality SAR imaging standards.
Beamforming and Multi-platform Image Synthesis for RODiO distributed SAR mission / Renga, A.; Gigantino, A.; Graziano, M. D.; Moccia, A.; Fedele, A.; Natalucci, S.. - 2022-:(2022). (Intervento presentato al convegno 73rd International Astronautical Congress, IAC 2022 tenutosi a fra nel 2022).
Beamforming and Multi-platform Image Synthesis for RODiO distributed SAR mission
Renga A.;Gigantino A.;Graziano M. D.;Moccia A.;
2022
Abstract
This paper focuses on the multi-platform image synthesis, i.e. the capability to synthesize an image of improved performance combining, both in amplitude and in phase, a stack of low performance bistatic images collected by formation-flying cubesat receivers. This is the case of RODiO mission, an innovative mission concept selected by the Italian Space Agency (ASI) for a phase A study in the framework of Alcor program. The mission relies on a cluster of 4 passive CubeSats flying in formation with ASI PLATiNO-1 (PLT-1) Synthetic Aperture Radar (SAR) mission. The problem of beamforming and focusing is discussed in the paper through analysis and simulations, by implementing a time domain multi-static beamforming algorithm which is able to both improve the Signal-to-Noise Ratio (SNR) and the level of ambiguities in the generated images, making the relevant values compliant with high-quality SAR imaging standards.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
