Aeronautical surveillance systems, which provide aircraft position to air traffic controllers, are an important infrastructure for safe and efficient flights. One of the next generation systems is Automatic Dependent Surveillance - Broadcast (ADS-B) which requires aircraft to periodically broadcast their own position. Although ADS-B is more accurate than the conventional radars, it is susceptible to avionics failures or spoofing. A practical countermeasure is position verification by Time Difference Of Arrival (TDOA). This paper provides a theory of the TDOA-based position verification for ADS-B. The probability of detection, probability of false alarm, and detection threshold are derived by combining the binary hypothesis testing and the linearization known in the TDOA-based localization. The derived analytical expressions are convenient for analysis and system design.
[1]
Tadashi Koga,et al.
ADS-B anti-spoofing performance of monopulse technique with sector antennas
,
2017,
2017 IEEE Conference on Antenna Measurements & Applications (CAMA).
[2]
Don Torrieri,et al.
Statistical Theory of Passive Location Systems
,
1984,
IEEE Transactions on Aerospace and Electronic Systems.
[3]
Busyairah Syd Ali.
ADS-B security
,
2017
.
[4]
Steven Kay,et al.
Fundamentals Of Statistical Signal Processing
,
2001
.
[5]
Ivan Martinovic,et al.
Lightweight Location Verification in Air Traffic Surveillance Networks
,
2015,
CPSS@ASIACSS.
[6]
Ivan Martinovic,et al.
On the Security of the Automatic Dependent Surveillance-Broadcast Protocol
,
2013,
IEEE Communications Surveys & Tutorials.