Compressive Sampling Stepped Frequency GPR Using Probabilistic Structured Sparsity Models

Author(s):  
Venceslav Kafedziski
2010 ◽  
Vol 32 (2) ◽  
pp. 470-475 ◽  
Author(s):  
Jian Jin ◽  
Yuan-tao Gu ◽  
Shun-liang Mei
Keyword(s):  

2011 ◽  
Vol 33 (3) ◽  
pp. 677-683 ◽  
Author(s):  
Kai Huo ◽  
Wei-dong Jiang ◽  
Xiang Li ◽  
Jun-jie Mao

2021 ◽  
Vol 13 (4) ◽  
pp. 616
Author(s):  
Rafael Alonso ◽  
José María García del Pozo ◽  
Samuel T. Buisán ◽  
José Adolfo Álvarez

Snow makes a great contribution to the hydrological cycle in cold regions. The parameter to characterize available the water from the snow cover is the well-known snow water equivalent (SWE). This paper presents a near-surface-based radar for determining the SWE from the measured complex spectral reflectance of the snowpack. The method is based in a stepped-frequency continuous wave radar (SFCW), implemented in a coherent software defined radio (SDR), in the range from 150 MHz to 6 GHz. An electromagnetic model to solve the electromagnetic reflectance of a snowpack, including the frequency and wetness dependence of the complex relative dielectric permittivity of snow layers, is shown. Using the previous model, an approximated method to calculate the SWE is proposed. The results are presented and compared with those provided by a cosmic-ray neutron SWE gauge over the 2019–2020 winter in the experimental AEMet Formigal-Sarrios test site. This experimental field is located in the Spanish Pyrenees at an elevation of 1800 m a.s.l. The results suggest the viability of the approximate method. Finally, the feasibility of an auxiliary snow height measurement sensor based on a 120 GHz frequency modulated continuous wave (FMCW) radar sensor, is shown.


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