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Dual-Polarization GNSS-R for Reflective Surface Characterization

Daniele Oliveira Silva, Felix Antreich
GNSS ReflectometryRemote sensingDual-PolarizationMaximum Likelihood Estimator

Resumo

This work proposes a Global Navigation Satellite Systems (GNSS) reflectometry (GNSS-R) approach using only the reflected signals received by a dual-polarization antenna that moves along a surface with different electrical properties. In order to estimate the parameters of interest, a maximum likelihood estimator is derived and its performance is evaluated. The results show that the proposed approach can successfully retrieve the electrical information of dielectric materials. In case of materials with high conductivity the performance of the proposed approach is reduced due to the lower identifiability of the applied signal model parameters.