my work
The goal of my projects has been to understand how radio frequency interference (RFI) is detected by a receiver. Ultimately, the aim is to develop a network of low-cost receivers that is as effective as a single expensive receiver.
My work uses hardware testing to compare the performance of various receivers against each other. Here, a software-defined radio is used to insert a jamming signal into three GNSS receivers.
I seek to analyze in-depth the effects of different types of interference on power and signal quality metrics in particular. These plots show metrics responding to a simulated lift-offspoofing attack.
Most testing requires nominal data, which is collected with high-quality antennas on the roof of the Aero/Astro building.
Data collection requires numerous runs while varying the characteristics of each test. This shows partially affected GNSS signals during a RFI test.
Various interference signal types are tested, including the four types shown here. Spectrograms show power distribution over a frequency spectrum and are useful for identifying and classifying interference.
