DocumentCode :
1334163
Title :
Scattering of GPS signals from the ocean with wind remote sensing application
Author :
Zavorotny, Valery U. ; Voronovich, Alexander G.
Author_Institution :
Cooperative Inst. for Res. in Environ. Sci., Colorado Univ., Boulder, CO, USA
Volume :
38
Issue :
2
fYear :
2000
fDate :
3/1/2000 12:00:00 AM
Firstpage :
951
Lastpage :
964
Abstract :
A theoretical model that describes the power of a scattered Global Positioning System (GPS) signal as a function of geometrical and environmental parameters has been developed. This model is based on a bistatic radar equation derived using the geometric optics limit of the Kirchhoff approximation. The waveform (i.e., the time-delayed power obtained in the delay-mapping technique) depends on a wave-slope probability density function, which in turn depends on wind. Waveforms obtained for aircraft altitudes and velocities indicate that altitudes within the interval 5-15 km are the best for inferring wind speed. In some regimes, an analytical solution for the bistatic radar equation is possible. This solution allows converting trailing edges of waveforms into a set of straight lines, which could be convenient for wind retrieval. A transition to satellite altitudes, together with satellite velocities, makes the peak power reduction and the Doppler spreading effect a significant problem for wind retrieval based on the delay-mapping technique. At the same time, different time delays and different Doppler shifts of the scattered GPS signal could form relatively small spatial cells on sea surface, suggesting mapping of the wave-slope probability distribution in a synthetic-aperture-radar (SAR) fashion. This may allow more accurate measurements of wind velocity and wind direction
Keywords :
atmospheric techniques; meteorological radar; radar cross-sections; radar theory; remote sensing by radar; wind; GPS signal; Global Positioning System; Kirchhoff approximation; bistatic radar; bistatic radar equation; direction; geometric optics; marine atmosphere; measurement technique; meteorological radar; radar remote sensing; radiosignal scattering; theoretical model; velocity; wave-slope probability density function; waveform; wind; wind retrieval; wind speed; Bistatic radar; Equations; Global Positioning System; Oceans; Optical scattering; Power system modeling; Radar scattering; Remote sensing; Solid modeling; Wind speed;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/36.841977
Filename :
841977
Link To Document :
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