Boulder specializing in GNSS applications, astrodynamics, and satellite navigation. He received a B.S. in Aerospace Engineering from the University of Colorado Boulder and is currently employed there as a research assistant for the Colorado Center for Astrodynamics Research. His research interests are in GNSS RFI detection, localization, and mitigation. Dennis M. Akos completed the Ph.D. degree in Electrical Engineering at Ohio University within the Avionics Engineering Center. He has since served as a faculty member with Luleå Technical University, Sweden, and then as a researcher with the GPS Laboratory at Stanford University. Currently he is a faculty member with the Aerospace Engineering Sciences Department at the University of Colorado, Boulder and maintains a visiting appointments at Stanford University and an affiliation with

Due to the ever growing threat of Global Positioning System (GPS) spoofing, it has become necessary for the aviation sector to develop an effective means of detection. This paper focuses on two complementary spoofing detection techniques that are available on commercial GPS receivers and thus require no additional hardware to operate. The primary methodology for detection is using this combination of: Radio Power Monitoring (RPM) metrics, levering both Automatic Gain Control (AGC) and C/N0 measurements, along with multiple correlations for signal distortion to provide a best practices spoofing detection algorithm which is able to distinguish between interference and spoofing. The paper first assess nominal statistics for both metrics compiled from over 250 hours of nominal data collected from multiple Wide Area Augmentation System (WAAS) stations. This data is compared to previous collections to validate the thresholds and false alarms rates and establish a complete testing methodology. These test and thresholds are then assessed with the Texas Spoofing Test Battery (TEXBAT) series of GPS spoofing data sets to confirm detection capabilities. Finally, these test and thresholds are applied to assess the GPS signal of six extended flights over the United States to assess the performance on an aircraft.

No abstract