Enhancing accuracy and security of ADS-B via MLAT assisted-flight information system

Abstract

Existing traditional radar techniques are not suitable for precise positioning of the aircraft. Recently, Automatic Dependent Surveillance-Broadcast (ADS-B) has used to accurately determine the aircraft's position. Unfortunately, ADS-B technique suffers from cybersecurity issues like jamming and spoofing. In order to validate the ADS-B signal and enhance the aircraft's position, ADS-B/MLAT data fusion is used which uses the dynamic flight model of aircraft. In contrast, this paper presents reliable and high precise ADS-B/MLAT data fusion surveillance framework that uses the dynamic flight model of aircraft and flight information system. Our results show that the accuracy of the proposed framework is 49%, 49% and 13.8% better than ADS-B, multilateration and surveillance techniques that use the dynamic flight model of aircraft only for aircraft near the airport.