Goulven Monnier, Benjamin Camus, Yann-Hervé Hellouvry
{"title":"用于遥感海洋学的空间雷达高性能模拟:应用于测高方案","authors":"Goulven Monnier, Benjamin Camus, Yann-Hervé Hellouvry","doi":"arxiv-2408.11472","DOIUrl":null,"url":null,"abstract":"In this paper, we detail the high-performance implementation of our\nspaceborne radar simulator for satellite oceanography. Our software simulates\nthe sea surface and the signal to imitate, as far as possible, the measurement\nprocess, starting from its lowest level mechanisms. In this perspective, raw\ndata are computed as the sum of many illuminated scatterers, whose\ntime-evolving properties are related to the surface roughness, topography, and\nkinematics. To achieve efficient performance, we intensively use GPU computing.\nMoreover, we propose a fast simulation mode based on the assumption that the\ninstantaneous Doppler spectrum within a range gate varies on a timescale\nsignificantly larger than the PRI. The sea surface can then be updated at a\nfrequency much smaller than the PRF, drastically reducing the computational\ncost. When the surface is updated, Doppler spectra are computed for all range\ngates. Signals segments are then obtained through 1D inverse Fourier transforms\nand pondered to ensure a smooth time evolution between surface updates. We\nvalidate this fast simulation mode with a radar altimeter simulation case of\nthe Sentinel-3 SRAL instrument, showing that simulated raw data can be focused\nand retrieved using state-of-the-art algorithms. Finally, we show that, using a\nmodest hardware configuration, our simulator can generate enough data in one\nday to compute the SWH and SSH spectra of a scene. This demonstrate that we\nachieved an important state-of-the-art speed-up.","PeriodicalId":501270,"journal":{"name":"arXiv - PHYS - Geophysics","volume":"71 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"High Performance Simulation of Spaceborne Radar for Remote-Sensing Oceanography: Application to an Altimetry Scenario\",\"authors\":\"Goulven Monnier, Benjamin Camus, Yann-Hervé Hellouvry\",\"doi\":\"arxiv-2408.11472\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we detail the high-performance implementation of our\\nspaceborne radar simulator for satellite oceanography. Our software simulates\\nthe sea surface and the signal to imitate, as far as possible, the measurement\\nprocess, starting from its lowest level mechanisms. In this perspective, raw\\ndata are computed as the sum of many illuminated scatterers, whose\\ntime-evolving properties are related to the surface roughness, topography, and\\nkinematics. To achieve efficient performance, we intensively use GPU computing.\\nMoreover, we propose a fast simulation mode based on the assumption that the\\ninstantaneous Doppler spectrum within a range gate varies on a timescale\\nsignificantly larger than the PRI. The sea surface can then be updated at a\\nfrequency much smaller than the PRF, drastically reducing the computational\\ncost. When the surface is updated, Doppler spectra are computed for all range\\ngates. Signals segments are then obtained through 1D inverse Fourier transforms\\nand pondered to ensure a smooth time evolution between surface updates. We\\nvalidate this fast simulation mode with a radar altimeter simulation case of\\nthe Sentinel-3 SRAL instrument, showing that simulated raw data can be focused\\nand retrieved using state-of-the-art algorithms. Finally, we show that, using a\\nmodest hardware configuration, our simulator can generate enough data in one\\nday to compute the SWH and SSH spectra of a scene. This demonstrate that we\\nachieved an important state-of-the-art speed-up.\",\"PeriodicalId\":501270,\"journal\":{\"name\":\"arXiv - PHYS - Geophysics\",\"volume\":\"71 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-08-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - PHYS - Geophysics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2408.11472\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Geophysics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2408.11472","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
High Performance Simulation of Spaceborne Radar for Remote-Sensing Oceanography: Application to an Altimetry Scenario
In this paper, we detail the high-performance implementation of our
spaceborne radar simulator for satellite oceanography. Our software simulates
the sea surface and the signal to imitate, as far as possible, the measurement
process, starting from its lowest level mechanisms. In this perspective, raw
data are computed as the sum of many illuminated scatterers, whose
time-evolving properties are related to the surface roughness, topography, and
kinematics. To achieve efficient performance, we intensively use GPU computing.
Moreover, we propose a fast simulation mode based on the assumption that the
instantaneous Doppler spectrum within a range gate varies on a timescale
significantly larger than the PRI. The sea surface can then be updated at a
frequency much smaller than the PRF, drastically reducing the computational
cost. When the surface is updated, Doppler spectra are computed for all range
gates. Signals segments are then obtained through 1D inverse Fourier transforms
and pondered to ensure a smooth time evolution between surface updates. We
validate this fast simulation mode with a radar altimeter simulation case of
the Sentinel-3 SRAL instrument, showing that simulated raw data can be focused
and retrieved using state-of-the-art algorithms. Finally, we show that, using a
modest hardware configuration, our simulator can generate enough data in one
day to compute the SWH and SSH spectra of a scene. This demonstrate that we
achieved an important state-of-the-art speed-up.