Volume 47 Issue 8
Aug.  2021
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HONG Xuebao, ZHANG Bo, RUAN Hongliang, et al. Ground-based GNSS-R soil moisture retrieval based on correlation power correction[J]. Journal of Beijing University of Aeronautics and Astronautics, 2021, 47(8): 1558-1564. doi: 10.13700/j.bh.1001-5965.2020.0154(in Chinese)
Citation: HONG Xuebao, ZHANG Bo, RUAN Hongliang, et al. Ground-based GNSS-R soil moisture retrieval based on correlation power correction[J]. Journal of Beijing University of Aeronautics and Astronautics, 2021, 47(8): 1558-1564. doi: 10.13700/j.bh.1001-5965.2020.0154(in Chinese)

Ground-based GNSS-R soil moisture retrieval based on correlation power correction

doi: 10.13700/j.bh.1001-5965.2020.0154
Funds:

Zhejiang Basic Public Welfare Research Project LGN19D040001

State Key Laboratory of Geo-information Engineering Open Fund Project SKLGIE2018-M-2-2

More Information
  • Corresponding author: ZHANG Bo, E-mail: bozhang@cqjj8.com
  • Received Date: 21 Apr 2020
  • Accepted Date: 25 May 2020
  • Publish Date: 20 Aug 2021
  • In soil moisture observation using Global Navigation Satellite System Reflectometry (GNSS-R) technique, actual antennas' directionalities will bring about the biases in the correlation power measurements of the direct and reflected GNSS signals. For eliminating the cosine-like oscillatory bias of the correlation power caused by antenna directionality in ground-based scenario, this paper proposes a correlation power correction method based on the polynomial fitting. In order to verify the validity of this method, the ground-based GNSS-R soil moisture observation experiment is carried out. The experimental results show that the correlation power correction using polynomial fitting can remove the cosine-like oscillation of the correlation power waveform, and then improve the efficiency of measurement data and the accuracy of retrieval results.

     

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