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Dynamic Calibration of GPS Effective Isotropic Radiated Power for GNSS-Reflectometry Earth Remote Sensing

Tianlin Wang, Christopher S. Ruf, Scott Gleason, Andrew O’Brien, Darren McKague, Bruce Block, Anthony Russel

2021IEEE Transactions on Geoscience and Remote Sensing40 citationsDOIOpen Access PDF

Abstract

Global Navigation Satellite System (GNSS) Reflectometry uses reflected GNSS signals for Earth remote sensing applications. Absolute calibration of a Delay Doppler Map (DDM) requires an accurate estimate of the effective isotropic radiated power (EIRP) of the GNSS transmitter, e.g., Global Positioning System (GPS). However, variable transmit power by numerous Block II Follow-on (IIF) and II Replenishment-Modernized (IIR-M) GPS space vehicles has been observed due to their flex power mode. Nonuniformity in the GPS antenna gain patterns further complicates EIRP estimation. A dynamic calibration approach is developed to address GPS EIRP variability. It uses measurements by the direct received GPS signal to estimate GPS EIRP in the specular reflected direction and then incorporates it into the calibration of normalized bistatic radar cross section (NBRCS). Error analyses using Monte Carlo simulations and a root sum of squares (RSS) approach show that the resulting error in NBRCS is about 0.32 dB. Dynamic EIRP calibration instantaneously detects and corrects for power fluctuations in the GPS transmitters and significantly reduces errors due to GPS antenna gain azimuthal asymmetry. It allows observations with the most variable Block IIF transmitters (approximately 37% of the GPS constellation) to be included in the standard data products and further improves the calibration quality of NBRCS and geophysical data products.

Topics & Concepts

Global Positioning SystemRemote sensingGNSS applicationsGPS signalsEffective radiated powerCalibrationReflectometryBistatic radarGPS disciplined oscillatorComputer scienceGeodesyAntenna (radio)RadarAssisted GPSGeologyPhysicsTelecommunicationsRadar imagingTime domainQuantum mechanicsComputer visionSoil Moisture and Remote SensingGNSS positioning and interferenceSynthetic Aperture Radar (SAR) Applications and Techniques
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