Abstract
The use of GNSS-R technology to detect surface ships is a new application in this field. Aiming at the blurring problem of mirror image and diffuse scattering component in sea surface electromagnetic field, this paper combines the sea surface two-scale model to generate the regional sea surface with different wind speed, and analyzes the variation of scattering coefficient caused by mirror image and diffuse scattering component when satellite signal incident angle changes. Based on the difference of dielectric constants between the metal structures on the ship surface and seawater under L-band signal, the scattering signal power was analyzed, and the first domestic ship detection experiment in Yingkou port of Liaoning province was carried out. By processing the reflected signal SNR (signal-to-noise ratio) and dielectric constants, the ship characteristic has been found obviously, and the feasibility of using the shore-based GNSS-R technology to detect close-sea ship is verified.
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Gao, C., Yang, D., Zhu, Y., Qiu, X., Yang, L. (2017). Ship Detection and Data Processing by Using Shore-Based GNSS-R. In: Sun, J., Liu, J., Yang, Y., Fan, S., Yu, W. (eds) China Satellite Navigation Conference (CSNC) 2017 Proceedings: Volume I. CSNC 2017. Lecture Notes in Electrical Engineering, vol 437. Springer, Singapore. https://doi.org/10.1007/978-981-10-4588-2_14
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DOI: https://doi.org/10.1007/978-981-10-4588-2_14
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