@inproceedings{363cff7703be44c687007296070e807f,
title = "Parameter Measurement of Soil Moisture based on GNSS-R Signals",
abstract = "Soil moisture, also known as soil moisture content, plays an important role in the climate and ecological environment and it is an essential component of the water cycle. In recent years, GNSS-R remote sensing technology based on multi-path effects has provided a new and efficient monitoring method for soil moisture. This paper focuses on the principle of GNSS-R technology and reflection signal characteristics and studies the method of extracting characteristic parameters of multi-path components from SNR observation based on single-antenna mode for SNR multi-path component remote sensing. On this basis, this paper designs and develops soil moisture inversion based on Matlab platform. Based on the 31-day measured data of satellite PRN 17, a soil moisture inversion model was established from the perspective of delayed phase of SNR multi-path component.",
keywords = "GNSS-R, SNR, interference signal, multi-path, soil moisture",
author = "Lei Zhang and Tingting Lu and Pengwei Yu and Chunxia Zhang",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE International Conference on Artificial Intelligence and Computer Applications, ICAICA 2019 ; Conference date: 29-03-2019 Through 31-03-2019",
year = "2019",
month = mar,
doi = "10.1109/ICAICA.2019.8873523",
language = "英语",
series = "Proceedings of 2019 IEEE International Conference on Artificial Intelligence and Computer Applications, ICAICA 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "161--166",
booktitle = "Proceedings of 2019 IEEE International Conference on Artificial Intelligence and Computer Applications, ICAICA 2019",
address = "美国",
}