On Signal Modeling of Moon-Based Synthetic Aperture Radar (SAR) Imaging of Earth
AbstractThe Moon-based Synthetic Aperture Radar (Moon-Based SAR), using the Moon as a platform, has a great potential to offer global-scale coverage of the earth’s surface with a high revisit cycle and is able to meet the scientific requirements for climate change study. However, operating in the lunar orbit, Moon-Based SAR imaging is confined within a complex geometry of the Moon-Based SAR, Moon, and Earth, where both rotation and revolution have effects. The extremely long exposure time of Moon-Based SAR presents a curved moving trajectory and the protracted time-delay in propagation makes the “stop-and-go” assumption no longer valid. Consequently, the conventional SAR imaging technique is no longer valid for Moon-Based SAR. This paper develops a Moon-Based SAR theory in which a signal model is derived. The Doppler parameters in the context of lunar revolution with the removal of ‘stop-and-go’ assumption are first estimated, and then characteristics of Moon-Based SAR imaging’s azimuthal resolution are analyzed. In addition, a signal model of Moon-Based SAR and its two-dimensional (2-D) spectrum are further derived. Numerical simulation using point targets validates the signal model and enables Doppler parameter estimation for image focusing. View Full-Text
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Xu, Z.; Chen, K.-S. On Signal Modeling of Moon-Based Synthetic Aperture Radar (SAR) Imaging of Earth. Remote Sens. 2018, 10, 486.
Xu Z, Chen K-S. On Signal Modeling of Moon-Based Synthetic Aperture Radar (SAR) Imaging of Earth. Remote Sensing. 2018; 10(3):486.Chicago/Turabian Style
Xu, Zhen; Chen, Kun-Shan. 2018. "On Signal Modeling of Moon-Based Synthetic Aperture Radar (SAR) Imaging of Earth." Remote Sens. 10, no. 3: 486.
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