Abstract
GNSS-R interferometric reflectometry (also known as GNSS-IR, or GPS-IR for GPS signals) is a technique that uses data from geodetic-quality GNSS instruments for sensing the near-field environment. In contrast to positioning, atmospheric, and timing applications of GNSS, GNSS-IR uses the signal-to-noise ratio (SNR) data. Software is provided to translate GNSS files, map GNSS-IR reflection zones, calculate GNSS-IR Nyquist frequencies, and estimate changes in the height of a reflecting surface from GNSS SNR data.
Highlights
GNSS-IR is a method for estimating environmental parameters around a geodetic-quality GNSS site
All GNSS-IR studies are based on the analysis of signal-to-noise ratio (SNR) patterns created by the interference of direct and reflected GNSS signals
Where e is the GNSS satellite elevation angle with respect to the horizon, is the GNSS wavelength, is a phase constant, HR is the vertical distance between the GNSS antenna phase center and the horizontal reflecting surface, and A(e) represents the amplitude of the SNR data
Summary
GNSS-IR is a method for estimating environmental parameters around a geodetic-quality GNSS site. Where e is the GNSS satellite elevation angle with respect to the horizon, is the GNSS wavelength, is a phase constant, HR is the vertical distance between the GNSS antenna phase center and the horizontal reflecting surface, and A(e) represents the amplitude of the SNR data. To be clear, this representation of SNR data is time dependent because e is a function of time. A fuller discussion of the contributions to A(e) can be found in Nievinski and Larson (2014a)
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