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Space Reflecto 2013

Space Reflecto 2013. Simulations and exploitation of GNSS-R signals from a 60-meter lighthouse for applications in surface hydrology processes. Nicolas ROUSSEL Laurent LESTARQUIT. 04/05 novembre 2013. PhD advisers : Guillaume RAMILLIEN, Frédéric FRAPPART. Plan

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Space Reflecto 2013

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  1. SpaceReflecto 2013 Simulations and exploitation of GNSS-R signals from a 60-meter lighthouse for applications in surface hydrology processes Nicolas ROUSSEL Laurent LESTARQUIT 04/05 novembre 2013 PhDadvisers: Guillaume RAMILLIEN, Frédéric FRAPPART

  2. Plan Introduction Simulations Field measurements • Introduction • Simulations • Field measurements •  GNSS-based tide gauge system with SILICOM datalogger •  Analysis of signal-to-noise ratio (SNR) series 4/5 November 2013 SpaceReflecto – Nicolas ROUSSEL / Laurent LESTARQUIT 2

  3. Plan Introduction Simulations Field measurements • Introduction • Simulations • Field measurements •  GNSS-based tide gauge system with SILICOM datalogger •  Analysis of signal-to-noise ratio (SNR) series 4/5 November 2013 SpaceReflecto – Nicolas ROUSSEL / Laurent LESTARQUIT 3

  4. Introduction Introduction Simulations Field measurements • Ground configuration • Embedded configuration Source : Institut de Ciències de l’Espai (http://www.ice.csic.es) • Direct/reflectedsignalscorrelation • Position of the specularreflection point • Altimetry • Properties of the reflection surface (roughness) 4/5 November 2013 SpaceReflecto – Nicolas ROUSSEL / Laurent LESTARQUIT 4

  5. Introduction Introduction Simulations Field measurements  The Cordouan Lighthouse(45°35’11’’N ; 1°10’24’’O) -60m - 4/5 November 2013 SpaceReflecto – Nicolas ROUSSEL / Laurent LESTARQUIT 5

  6. Plan Introduction Simulations Field measurements • Introduction • Simulations • Field measurements •  GNSS-based tide gauge system with SILICOM datalogger •  Analysis of signal-to-noise ratio (SNR) series 4/5 November 2013 SpaceReflecto – Nicolas ROUSSEL / Laurent LESTARQUIT 6

  7. Simulations Introduction Simulations Field measurements Simulator development • Modeling the trajectories of GNSS electromagneticwavesthat are reflected on the surface of the Earth, based on real ephemeris • Determine the potential of GNSS-R for mapping the characteristics of the reflecting surface • Explore different configurations of performingmeasurements and instrument installations: •  variations in the reflectometer height, mask effects due to the terrain, satellites geometry, ... 4/5 November 2013 SpaceReflecto – Nicolas ROUSSEL / Laurent LESTARQUIT 7

  8. Simulations Introduction Simulations Field measurements • Determination of the position of the specularreflection points: 3 algorithms • Approximation of the Earthinto a local sphere • Approximation of the Earthinto a local ellipsoid • DEM (Digital Elevation Model) integration Gnu R Computation speed Correctness For further information : Simulations of direct and reflectedwavestrajectories for in situ GNSS-R experiments, submitted in Geosciences Model Development N. Roussel, F. Frappart, G. Ramillien, C. Desjardins, P. Gegout, F. Pérosanz, R. Biancale 4/5 November 2013 SpaceReflecto – Nicolas ROUSSEL / Laurent LESTARQUIT 8

  9. Simulations Introduction Simulations Field measurements 4/5 November 2013 SpaceReflecto – Nicolas ROUSSEL / Laurent LESTARQUIT 9

  10. Simulations Introduction Simulations Field measurements Simulator outputs  Simulations on the Cordouan lighthouse (45°35’11’’N ; 1°10’24’’O) 4/5 November 2013 SpaceReflecto – Nicolas ROUSSEL / Laurent LESTARQUIT 10

  11. Simulations Introduction Simulations Field measurements Simulations over a week 4/5 November 2013 SpaceReflecto – Nicolas ROUSSEL / Laurent LESTARQUIT 11

  12. Simulations Introduction Simulations Field measurements Simulations over a week 4/5 November 2013 SpaceReflecto – Nicolas ROUSSEL / Laurent LESTARQUIT 12

  13. Plan Introduction Simulations Field measurements • Introduction • Simulations • Field measurements •  GNSS-based tide gauge system with SILICOM datalogger •  Analysis of signal-to-noise ratio (SNR) series 4/5 November 2013 SpaceReflecto – Nicolas ROUSSEL / Laurent LESTARQUIT 13

  14. Plan Introduction Simulations Field measurements • Introduction • Simulations • Field measurements •  GNSS-based tide gauge system with SILICOM datalogger •  Analysis of signal-to-noise ratio (SNR) series 4/5 November 2013 SpaceReflecto – Nicolas ROUSSEL / Laurent LESTARQUIT 14

  15. SILICOM Data-logger Introduction Simulations Field measurements SILICOM Data-Logger Data Logger • records and time tags a wide choice of supported RF GNSS signals •  makes possible the characterization of the reflected signal and the development of algorithms for processing the GNSS-R signals. 4/5 November 2013 SpaceReflecto – Nicolas ROUSSEL / Laurent LESTARQUIT 15

  16. SILICOM Data-logger Introduction Simulations Field measurements 31stmay 2013 campaign Data Logger  to collect GNSS-R signals, receiving the direct signal via a RHCP zenith-looking antenna, and the reflected signal via a LHCP nadir-looking antenna Approx. 25 min of acquisitions, 25 MHz, 8 bits 4/5 November 2013 SpaceReflecto – Nicolas ROUSSEL / Laurent LESTARQUIT 16

  17. SILICOM Data-logger Introduction Simulations Field measurements Acquisition  1 ms  Doppler : [-5000:1:5000] Hz • Detection of 6 satellites : • PRN12 • PRN15 • PRN17 • PRN24 • PRN25 • PRN26 In agreement with the simulations 4/5 November 2013 SpaceReflecto – Nicolas ROUSSEL / Laurent LESTARQUIT 17

  18. SILICOM Data-logger Introduction Simulations Field measurements Acquisition PRN15 exemple : detection of the initial doppler Direct signal Reflected signal 4/5 November 2013 SpaceReflecto – Nicolas ROUSSEL / Laurent LESTARQUIT 18

  19. SILICOM Data-logger Introduction Simulations Field measurements Acquisition PRN15 exemple : detection of the initial delay Direct signal Reflected signal 4/5 November 2013 SpaceReflecto – Nicolas ROUSSEL / Laurent LESTARQUIT 19

  20. SILICOM Data-logger Introduction Simulations Field measurements Correlationfunction Reflected signal Direct signal 1 ms 1 ms 100 ms 100 ms 4/5 November 2013 SpaceReflecto – Nicolas ROUSSEL / Laurent LESTARQUIT 20

  21. SILICOM Data-logger Introduction Simulations Field measurements Correlationfunction Reflected signal Direct signal 1 ms 1 ms 100 ms 100 ms 4/5 November 2013 SpaceReflecto – Nicolas ROUSSEL / Laurent LESTARQUIT 21

  22. SILICOM Data-logger Introduction Simulations Field measurements Delay-Doppler Maps Ce sont des GIFS animés ! - 4/5 November 2013 SpaceReflecto – Nicolas ROUSSEL / Laurent LESTARQUIT 24

  23. SILICOM Data-logger Introduction Simulations Field measurements Tracking Determination of the C/A pseudo-distance for both direct and reflectedsignals  The differencebetweenbothgives the extra distance traveled by the reflectedwave Differencesbetween direct and reflectedpaths – C/A PRN12 Distance (m) Time (s) : satellite elevation 4/5 November 2013 SpaceReflecto – Nicolas ROUSSEL / Laurent LESTARQUIT 23

  24. SILICOM Data-logger Introduction Simulations Field measurements Tracking With the elevation Direct signal 4/5 November 2013 SpaceReflecto – Nicolas ROUSSEL / Laurent LESTARQUIT 23

  25. Plan Introduction Simulations Field measurements • Introduction • Simulations • Field measurements •  GNSS-based tide gauge system with SILICOM datalogger •  Analysis of signal-to-noise ratio (SNR) series 4/5 November 2013 SpaceReflecto – Nicolas ROUSSEL / Laurent LESTARQUIT 25

  26. Plan Introduction Simulations Field measurements • Introduction • Simulations • Field measurements •  GNSS-based tide gauge system with SILICOM datalogger •  Analysis of signal-to-noise ratio (SNR) series 4/5 November 2013 SpaceReflecto – Nicolas ROUSSEL / Laurent LESTARQUIT 26

  27. SNR data Introduction Simulations Field measurements phase difference between the direct signal and the reflected signal (multipath) Multipath amplitude Direct signal amplitude Larson et al., GPS Sol., 2008 x = sin θ : 4/5 November 2013 SpaceReflecto – Nicolas ROUSSEL / Laurent LESTARQUIT 27

  28. SNR data Introduction Simulations Field measurements L2 SNR data 2ndorderpolynom 4/5 November 2013 SpaceReflecto – Nicolas ROUSSEL / Laurent LESTARQUIT 28

  29. SNR data Introduction Simulations Field measurements L2 SNR data 0 – 40° elevation filtration 4/5 November 2013 SpaceReflecto – Nicolas ROUSSEL / Laurent LESTARQUIT 29

  30. SNR data Introduction Simulations Field measurements L2 SNR data  The whole 3 months time seriesiscurrentlybeinganalyzed in order to make the tideappear 4/5 November 2013 SpaceReflecto – Nicolas ROUSSEL / Laurent LESTARQUIT 30

  31. Thanks for your attention !

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