Specular Point Calculation Based on Modified Gradient Descent Algorithm

Global Navigation Satellite System-Reflectometry (GNSS-R) becomes a popular remote-sensing technique for its wide coverage and low cost. GNSS-R works as a bi-static radar receiving weak signals of GNSS satellites reflected from the surface of the Earth. In order to obtain high quality observations, the reflected signals need to be tracked by the open-loop. So the key to the GNSS-R instrument is the calculation of specular point. In this paper, a modified gradient descent algorithm is applied to predict the position of specular point. And an experiment is carried out to test the performance of the algorithm. It turns out that the algorithm has valid results and high real-time performance.

[1]  Valery U. Zavorotny,et al.  Vegetation Sensing Using GPS-Interferometric Reflectometry: Theoretical Effects of Canopy Parameters on Signal-to-Noise Ratio Data , 2015, IEEE Transactions on Geoscience and Remote Sensing.

[2]  Adriano Camps,et al.  Airborne GNSS-R Wind Retrievals Using Delay–Doppler Maps , 2013, IEEE Transactions on Geoscience and Remote Sensing.

[3]  William J. Emery,et al.  GPS signal scattering from land for moisture content determination , 2000, IGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Proceedings (Cat. No.00CH37120).

[4]  Alberto Alonso Arroyo,et al.  Sea ice detection using GNSS-R data from UK TDS-1 , 2016, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

[5]  Eric E. Small,et al.  Estimation of Snow Depth Using L1 GPS Signal-to-Noise Ratio Data , 2016, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[6]  Thomas K. Meehan,et al.  The Potential Use of GPS Signals as Ocean Altimetry Observables , 1997 .