2019 International Radar Conference (RADAR) 2019
DOI: 10.1109/radar41533.2019.171266
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Addressing the Terrain Topography in Distributed SAR Imaging

Abstract: Distributed multichannel synthetic aperture radar (SAR) imaging is a promising concept for future Earth observation missions. The multichannel concept can mitigate the pulse repetition frequency (PRF) or minimum SAR antenna area constraints inherent to single-channel SAR systems. Thus high azimuth resolution can be maintained, while acquiring wide swathes. This enables global coverage Earth observation with high spatial and temporal resolution. An important step during the multichannel processing for distribut… Show more

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Cited by 8 publications
(4 citation statements)
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“…Currently, there are already some options for solving this problem. In this study [12], pointed the prospects of implementation of a multi-position satellite system for high-resolution radio imaging. Multipositioning ensures global imaging.…”
Section: Introductionmentioning
confidence: 92%
“…Currently, there are already some options for solving this problem. In this study [12], pointed the prospects of implementation of a multi-position satellite system for high-resolution radio imaging. Multipositioning ensures global imaging.…”
Section: Introductionmentioning
confidence: 92%
“…This assumption can be considered valid for a formation extent but not for constellation of satellites [17]. At least, some phase correction can be added in the focusing, as demonstrated in [22].…”
Section: The Model In the Frequency Domainmentioning
confidence: 99%
“…However, it is very difficult to relate such values to the research of a sub-optimal PRF (there is not a simple closed-form expression relating satellite distance, PRF, and performance). For this reason, we adopted an exhaustive research of the optimal PRF according to the quality of recombination, simply measured through the ratio between the recombination gain, given by Equation (22) and the condition number of H * H:…”
Section: Tuning the Prfmentioning
confidence: 99%
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