Previous Abstract Return to Session G2b

Session G2b: Resilient and Secure PNT Against Interference and Emerging Threats 1

Initial Analysis of All Nippon Airways (ANA) Airborne GNSS SNR Data
Jiahua Zhang, Yao-Chun Ko, John J. Braun, Jan-Peter Weiss, COSMIC UCAR; Eiko Takasaki, Eishi Ishida, Takahisa Kato, ANA Holdings INC.
Location: Palm
Date/Time: Wednesday, Sep. 16, 5:08 p.m.

This study presents an initial analysis of airborne GNSS signal-to-noise ratio (SNR) data collected by All Nippon Airways (ANA) on a flight from Okinawa to Haneda, using a Septentrio PolaRx5S receiver that tracks multiple frequency-band signals from GPS, Galileo, GLONASS, and QZSS at 1 Hz. SNR is a sensitive diagnostic of data quality and a potential indicator of radio frequency interference (RFI). We develop a processing framework that bandpass-filters each SNR track to isolate anomalous features, quantifies their intensity through a moving-window standard deviation, and tests whether anomalies are shared across satellites using a cross-correlation measure. Comparison with an independent ADS-B-based interference index from the Stanford GPS Laboratory indicates that the SNR anomalies do not coincide with elevated interference risk, suggesting that they arise from instrument behavior or other sources rather than terrestrial RFI. These results demonstrate the value of airborne GNSS SNR analysis for quality control of downstream geophysical retrievals, while underscoring the difficulty of unambiguously identifying causes of SNR anomalies.

Previous Abstract Return to Session G2b