Co-Investigators:
Annotation:
The research assignment "Use of ADS-B messages as a GNSS interference indicator" responds to the demand for GNSS signal interference detection. Civil aviation uses the GNSS signal as the primary source for position and time information. Following the planned use of ADS-B within the SESAR and NextGen projects, the GNSS signal will become completely dominant. Due to the fact that civil aviation uses an unprotected signal, there is an increasing threat of interference. Existing means of identifying GNSS signal interference are limited to terrestrial local monitoring, which is very limited in aviation. The research brings a new concept of interference identification by analyzing ADS-B signal transmitted by flying planes. The method is based on the hypothesis that when the aircraft moves from an undisturbed area to an area with interference, the parameters that describe the quality of the surveillance information in the ADS-B messages. Software to capture these changes could be an indicator of a disturbed area. Due to the ADS-B signal range, it would be possible to monitor large areas in hundreds of kilometers. Identifying the disturbed areas would provide rapid information to relevant stakeholders.
Department:
Year:
2019 - 2020
Program:
Studentská grantová soutěž ČVUT - SGS19/127/OHK2/2T/16