Based On Ads-b Flight Track Processing And Filtering

ADS-B is the core technique of aviation traffic control system for next generationand has drawn much attention extensively at home and abroad. Australia and Alaska,America have implemented this technique in aviation system and obtained good results.So far, many research institutes in China also research ADS-B technique in depth.In this thesis, the data processing and filtering of ADS-B system are researched.The main work is as follows:1. In ADS-B system, after the signals are received by antenna, they must bedecoding, and the CPR decoding is needed. This thesis introduces the theory of CPR,and put it in practice in the ADS-B receiver system. The data decoded by CPR need tobe transfer to the ECEF format, for the purpose of processing conveniently. This thesisintroduces the transformation method and uses it in the ADS-B system.2. For the purpose of making trajectory smoother and avoiding losing data, theKalman filtering is used in ADS-B system. This thesis introduces the basic theory ofKalman filtering and three non-linear Kalman filtering methods, such as EKF(extendKalman filtering), UKF(unscented Kalman filtering), SR-UKF(square root-unscentedKalman filtering). This thesis includes the simulations of model CV and model CAusing Kalman filtering, and compares the three non-linear Kalman filtering methods bysimulations, and put it in practice in turning model and ADS-B system.3. This thesis introduces the theory of the flight conflict detection and resolutionarithmetic based on intent message. And it analyzes the arithmetic by simulations andproposed improvements.Finally, this thesis introduces ADS-B receiver testing platform and the testingresults, summarizes all the work and carries out future prospect.