Research On Navigation Source And Autonomous Anti-spoofing Technology Of ADS-B

FAA believes that ADS-B is the cornerstone of the implementation of free flight as a new surveillance technology. Its main features include(ADS-B, traffic information service broadcast(TIS-B), flight information service broadcast(FIS-B)), which can play an important role in monitoring, crash, assisted approach. Meanwhile the C919 aircraft designed by China have been identified to be installed related products of ADS-B. However, the current ADS-B navigation source only use global navigation satellite system(GNSS), While the satellite fails, there will be the problem of failure to monitor, and the open shared characteristics of ADS-B messages led to its vulnerability to be spoofed. Therefore, the study of ADS-B navigation alternate source and anti-spoofing technologies have a very important significance.Firstly, the basic principle of ADS-B is introduced, and the message content and reports received part are focused to introduce. Then the mainly work based on ADS-B navigation alternate source and anti-spoofing technologies are done in the following aspects1) Considering of separate error probability, the accuracy and integrity standards of ADS-B navigation source which suited for the navigation source based RNP are proposed. At the same time for the problem that navigation source based RNP like DME in terms of accuracy and integrity is unable to meet the current standard, some changes are proposed to make some coding for NIC and NACp. The maximize practical of DME / DME navigation source is achieved, so DME/DME navigation alternate source 5nm separation standards in line with the implementation of standards.2) Before the ADS-B anti-spooling system received the signal, the blind signal separation algorithm is applied to the ADS-B 1090 ES signal separation. FastICA algorithm is used to separate the aliasing signal.Finally, correlation coefficient is used to determine whether the signal is separated successful.3) The most important part of the ADS-B anti-spoofing system is using the down signal ADS-B positioned to reject false signals. The new TDOA / TSOA positioning model is used, the normal localization algorithms performance is explored while using this new hybrid positioning model and traditional TDOA positioning model. At the same time the traditional Taylor series algorithm is made to optimize, and the improved algorithm which using the result of the Friedlander algorithm as the initial value of the Taylor series iterative is given. The problem is solved that the algorithm does not convergence or increases error while choosing the inappropriate initial value. Finally, the traditional Taylor series algorithm and improved algorithm Taylor Series positioning performance is analyzed while the different positioning models, and the impact on the number of base stations for positioning performance is discussed. ADS-B anti-spoofing system is achieved by comparing positioning algorithm results with the position information decoded from ADS-B signals.