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A Satellite Synthetic Aperture Radar Concept Using P-Band Signals of Opportunity

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DataCite Commons2023-09-15 更新2025-04-16 收录
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https://dataverse.jpl.nasa.gov/citation?persistentId=doi:10.48577/jpl.8DIYXE
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The spaceborne synthetic aperture radar (SAR) technique based on a combination of P-band Signals of Opportunity (SoOp) reflectometry with a sparse array of receivers at low earth orbits (LEO) and transmit signals from the United States Navy’s Mobile User Objective System (MUOS) operating on a geosynchronous altitude has been analyzed. The design focuses on the forward-looking geometry near the specular direction, which allows a high surface reflectivity, in order to obtain adequate signal to noise ratio (SNR) with a moderate receiving antenna gain. The sparse array is utilized to sharpen the across-track resolution and reduce the iso-range ambiguity. The formulation for match-filtering and illustrations of point target response are presented. This work shows that an array of 5 to 7 receivers is able to achieve an across-track resolution of about 200 m in the outer portion of swath and about 1 km in the center part of swath. The along-track resolution can reach 10 meters or better due to the feasibility of a long dwell time for Doppler filtering. We find that the sparse array allows the reduction of the iso-range ambiguity to a level of lower than 5% for a major portion of swath, ~70% or greater depending on the number of receivers and spacing. We have completed an SNR formulation, which can consistently account for both coherent and incoherent scattering regardless the spatial resolution. An analysis of SNR based on the Kirchhoff Approximation for rough surface scattering has been performed. We find that it is possible to obtain a swath width of 100 km with an SNR of 5 dB or better for a constellation of seven satellites with a receiving antenna directivity of 15 dBi at a LEO altitude of 675 km for a wide range of surface roughness. Our study suggests the promise of the SoOpSAR concept for high resolution remote sensing of land surfaces.
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2023-09-14
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