Research And Application Of Multi-Radar And ADS Data Fusion

In recent years, with the increasing of air traffic, it doesn't meet the requirement of civil air transport only by importing foreign ATC products any more, especially in the military ATC. It's crucial to developing our own ATC System with independent intellectual property. This thesis is based on the work that I've done when I was an internship in WiseSoft Ltd. From February 2003 to April 2004. This thesis mainly discusses the key multi-sensor data fusion technology of Air Traffic Control. Multi- sensor data fusion is the key technology of automatic ATC. This thesis analyses and compares the key technologies of multi-sensor data fusion. Based on an amount of research, a different sensors data fusion scheme is presented, and the radar and ADS data fusion is realized. The main results are presented in the following:(1) Target correlation and tracking filter research: The common tracking filter algorithm is discussed: Kalman and ((( tracking filter algorithm. A new multi-mode ((( tracking filter algorithm is presented and the algorithms mentioned above are compared and analyzed in complexity and precision of computation; Target correlation algorithm is discussed.(2) Coordination transform and alignment of time and space research: A scheme of time and space of multi-radar and ADS is designed, coordination transform, north rectification and compensation of time lag are realized.(3) Multi-radar and ADS track fusion algorithm research: The common track fusion algorithm is discussed, and the algorithm is compares and analyzed. In view of the characteristic of radar and ADS data, a new different sensors data fusion scheme is presented. The simulation experiment proves this scheme is effectual.The thesis is dissertated around the three aspects。The first part, it gives the background, purpose and signification of ATC system development and my research work. The second part, it expounds basic theory of the data fusion. The third part, it expounds Coordination transform, alignment of time and space, tracking filter and fusion of radar and ADS data fusion. The last part, it summarizes all contents of the thesis and. Put forward the research direction in the future.