Research On Information Processing Based On ADS-B IN Message

With the rapid development of global aviation transportation industry, the crowding in air traffic increases more and more sharply, the traditional radar-based surveillance network can't meet the requirement of modern aviation industry. In this condition, Automatic Dependent Surveillance-Broadcast(ADS-B) technology is the best way to solve these problems. However, ADS-B system don't always provide the guaranteed security,uninterrupted information, on the base of opening and sharing characteristics and the safety of ADS-B system, for example, input of data error, loss of data, malicious attacks, spoofing and co-channel interferences can reduce the data validity and integrity, and then causes airborne ADS-B system can't receive accurate state and intent information from other aircraft.So, information processing based on ADS-B IN is studied for aiming at the above problems.Firstly, the ADS-B IN technology and ADS-B IN information are systematic analyzed in this paper. Then the transmission performance of ADS-B IN message is studied, mainly including information transmission, and the probability influence on successful receiving ADS-B message when co-channel interferences. In aspect of information transmission, the algorithm mechanism of Compact Position Report(CPR) encoding and decoding to the target aircraft position is presented, the process of messages receiving and sending is simulated, and the receiving and sending data is counted. In the other aspect, an ADS-B receiving model is established to simulate the influence on successful receiving ADS-B message when the mode A/C and mode S interferences in Second Surveillance Radar(SSR).Moreover, considering the fact that the future flight dynamic of the target aircraft can't be accurately judged if tracking filtering algorithm is only used, and the intent information has an effect on the aircraft trajectory, an improved trajectory prediction algorithm is proposed based on ADS-B intent information, which combined with the Residual-Mean Interacting Multiple Model(RMIMM) algorithm and Intent Inference Algorithm(IIA) to achieve accurate trajectory prediction, and demonstrate its high performance based on computer simulation.