The capability to synthesize an image of improved performance combining both in amplitude and in phase a stack of low performance bistatic Synthetic Aperture Radar (SAR) images is qualifying to enable future missions based on clusters of nanosatellites or CubeSats. This is called multi-platform image synthesis and it is investigated in this paper with reference to the challenging scenario in which a cluster of formation-flying receiving-only units realizes a Distributed SAR (DSAR), collecting bistatic echoes of signals transmitted by a monostatic SAR that is used as an opportunity illuminator. The paper presents a solution for DSAR processing that combines the generality of time domain focusing with the flexibility of beamforming in the spatial domain. The proposed processing scheme is used as a training ground to develop indexes for performance characterization under different system parameters like pulse repetition frequency (PRF) and separations among different platforms
Multiplatform Image Synthesis for Distributed Synthetic Aperture Radar in Long Baseline Bistatic Configurations / Renga, Alfredo; Gigantino, Antonio; Graziano, MARIA DANIELA. - In: IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS. - ISSN 0018-9251. - 59:6(2023), pp. 9267-9284. [10.1109/TAES.2023.3316171]
Multiplatform Image Synthesis for Distributed Synthetic Aperture Radar in Long Baseline Bistatic Configurations
Alfredo Renga;Antonio Gigantino;Maria Daniela Graziano
2023
Abstract
The capability to synthesize an image of improved performance combining both in amplitude and in phase a stack of low performance bistatic Synthetic Aperture Radar (SAR) images is qualifying to enable future missions based on clusters of nanosatellites or CubeSats. This is called multi-platform image synthesis and it is investigated in this paper with reference to the challenging scenario in which a cluster of formation-flying receiving-only units realizes a Distributed SAR (DSAR), collecting bistatic echoes of signals transmitted by a monostatic SAR that is used as an opportunity illuminator. The paper presents a solution for DSAR processing that combines the generality of time domain focusing with the flexibility of beamforming in the spatial domain. The proposed processing scheme is used as a training ground to develop indexes for performance characterization under different system parameters like pulse repetition frequency (PRF) and separations among different platformsI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
