Risk level measurement system for landslide zones using SDRadar technology in a lab environment
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Abstract
This prototype was carried out in a lab environment at ESPOCH in Ecuador, using USRP B210 working at 5GHz and two ZJL6G+ amplifiers in cascade connection with 20dB of the total gain to improve the overall system power. Three samples with different humidity levels were used to determine the risk in diverse conditions in the measurement stage. The sample materials were macadam, soil, and sand. Risks oscillate between maximum and minimum depending on their humidity level, where high humidity leads to increased risk and inversely. Macadam was the best material for landslides since it showed the lowest permittivity indexes and lowest risk. Results were processed to get reflection and relative permittivity values. Afterward, they were stored in a database to be analyzed, and simulated landslides determined levels of risk as a function of humidity level.
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