Research On Multisensor Data Fusion For Air Traffic Control System

Automatic Dependent Surveillance (ADS) is a function whereby the aircraft Flight Management Computer (FMC) automatically transmits to ground facilities, via a data link of VHF wireless communication, Mode S or satellite communication, navigational and meteorological data derived from on-board avionics equipment, including aircraft identification and three-dimensional position and speed. In oceanic and large continental areas with limited surveillance availability, the ADS function is the major means to support an automatical tactical tracking function. The integrating the information coming from the ADS and existing radars can permit to fulfill tighter operational requirements in en-route, approach or airport areas,i.e., higher estimation accuracy for tactical tracking, longer extrapolation time for Conflict Prediction, which can improve the airspace utilization due to the reduced aircraft separation minima required to guarantee the same pre-established flight safety level. In this sense, it is believed that the introduction and operation of ADS, will have a considerable impact on the performances and procedures of the future air traffic control system(ATC).Due to the above requirement, the convensional multiradar fusion technology needs to be upgraded to multi-monitor data fusion technology. This thesis researches on ADS-B and multiradar data fusion, and the author's main contributions are as follows.(1) In the aspect of integration modeling, the thesis analyzes and compares the advantages and disadvantages of the centralized, distributed and other traditional integration models and trys to designed fix-loop fusion mode for ADS-B and radar data fusion.(2) Taking into account the respective properties of ADS-B data and multiradar data, the thesis proposes a solution scheme for ADS-B & multiradar fusion with spatial and temporal alignment, coordinate transformation.(3) For the "trilateration" problem in ADS-B tracking, the thesis proposes a solution by introducing a "pseudo-range " equation, i.e. in track tracking system, Kalman filter is employed to generate and update the integration track of a system.(4) According to the proposed model, the author has collected some original data and finished some computer simulations. The results show that the basic fusion model is validated.