Volume 50 Issue 6
Jun.  2024
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WANG F,YANG P Y,YANG D K. Theories and simulations of river boundary and level measurement using GNSS-I/MR[J]. Journal of Beijing University of Aeronautics and Astronautics,2024,50(6):1877-1887 (in Chinese) doi: 10.13700/j.bh.1001-5965.2022.0529
Citation: WANG F,YANG P Y,YANG D K. Theories and simulations of river boundary and level measurement using GNSS-I/MR[J]. Journal of Beijing University of Aeronautics and Astronautics,2024,50(6):1877-1887 (in Chinese) doi: 10.13700/j.bh.1001-5965.2022.0529

Theories and simulations of river boundary and level measurement using GNSS-I/MR

doi: 10.13700/j.bh.1001-5965.2022.0529
Funds:  National Natural Science Foundation of China (42104031)
More Information
  • Corresponding author: E-mail: yangdongkai@sina.com
  • Received Date: 22 Jun 2022
  • Accepted Date: 29 Aug 2022
  • Available Online: 31 Oct 2022
  • Publish Date: 09 Oct 2022
  • This paper explored the feasibility of extracting the river boundary and measuring the river level using global navigation satellite system-interferometric/multipath reflectometry (GNSS-I/MR) from its geometry and theoretical models. Based on the difference in the dielectric constant between the bank and river and the fact that the bank has a slope relative to the river, two observational variables sensitive to river boundary, namely the reflected-to-direct ratio and the delay rate were defined. According to the estimated envelope and phase of carrier-to-noise ratio using Hilbert transform, this paper proposed the estimation method of the reflected-to-direct ratio based on a univariate quadratic equation and that of the delay rate based on linear fitting, as well as a 3-threshold maximum interclass variance-based algorithm to recognize river/bank and a looped fitting-based algorithm to extract the river boundary. The river level was measured based on the delay rate of the river surface. By setting up a simulation platform and designing two river scenarios, the effectiveness of the proposed method was verified through simulation.

     

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