Dual-Polarization GNSS-R for Reflective Surface Characterization

Daniele Oliveira Silva, Felix Antreich

DOI: 10.14209/sbrt.2022.1570817437

Evento: XL Simpósio Brasileiro de Telecomunicações e Processamento de Sinais (SBrT2022)

Keywords: GNSS Reflectometry Remote sensing Dual-Polarization Maximum Likelihood Estimator

Abstract

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.

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