ADS bias cancellation based on data fusion with radar measurements

This paper describes a complete tracking function for air traffic control based on the fusion of radar and ADS-B messages. For this system, the most important terms to be corrected are low frequency errors from both radar sensors and ADS measurements, because the other components can be easily lowered through filtering. In the paper we propose innovative methods both for radar registration, and for low frequency ADS-B errors removal. Those two processes form the core of the tracking function. Additionally, very accurate measurement conversions are included, to avoid corrupting the estimations. The results clearly show the ability of the system to improve ADS-B based tracking and to obtain accurate estimations of radar biases. This second aspect is very interesting for improving tracking non ADS-B equipped aircraft.