Automatic Calibration in Crowd-sourced Network of Spectrum Sensors
Ali Abedi, Joshua Sanz, Anant Sahai · 2023
Spectrum monitoring is vital for optimizing wireless spectrum usage, minimizing interference, and ensuring efficient communication systems. In large-scale monitoring systems, the issue of trust in sensor data becomes critical. Separate from the issue of malicious actors, there must be an underlying level of trust in the basic quality of a sensor's data. A sensor can be compromised by physical obstructions, improper installation, or incorrect descriptions. This paper introduces an automated approach for evaluating RF sensor quality, leveraging airplane transponder signals to assess obstructions and other known man-made signals across frequency bands to quantify obstruction severity. Our experiments demonstrate the effectiveness of these techniques in automatically calibrating sensors without supervision.