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The Research On General Aviation Collision Avoidance Detection Algorithm Based On ADS-B

Posted on:2022-10-22Degree:MasterType:Thesis
Country:ChinaCandidate:W J XuFull Text:PDF
GTID:2491306317996449Subject:Master of Engineering (Transportation Engineering)
Abstract/Summary:
In recent years,China ’ s civil aviation is developing faster and faster,the general aviation market is expanding,the number of general aircraft is increasing,and the production and operation time is increasing rapidly.However,due to the late start of China ’s general aviation,imperfect infrastructure,navigation rules and regulations are not perfect,making the potential safety problems continue to emerge.Among them,aircraft collision is the most serious flight accident in civil aviation safety flight.In order to prevent the collision of navigable aircraft in the air,this paper proposes a general aviation anti-collision detection algorithm based on ADSB.The flight data of the aircraft is obtained by ADS-B,and the data is imported into the anticollision detection algorithm for analysis to realize the prediction of aircraft collision accidents and reduce the collision probability of aircraft in flight.This paper presents a general aviation anti-collision detection algorithm based on ADSB,mainly for small general aviation flight collision problem.Firstly,the composition of ADSB,the types and characteristics of data links,the information structure of each data link,and the characteristics of general aviation are analyzed.Secondly,the definition of interval and the types of flight conflicts are combed,and the structure and characteristics of common aircraft collision models in China and abroad are summarized,including REICH collision model,collision model based on cross routes,collision model based on stochastic differential equations,collision model based on position error and EVENT collision model.Then,the improved EVENT model is used to calculate the collision avoidance interval of navigable aircraft based on the model data of small navigable aircraft,as well as the alarm interval and the monitoring interval,and a three-layer cylindrical protected area model with monitoring area,alarm area and collision avoidance area is constructed.Finally,based on the protected area model,an anticollision detection algorithm is established.The algorithm is divided into five steps: intrusion analysis,horizontal flight trend analysis,heading analysis,closest distance analysis and vertical analysis.The collision detection of adjacent aircraft is carried out from the horizontal and vertical directions,and the aircraft with collision conflict is marked.The general aviation anti-collision detection algorithm based on ADS-B is first simulated by MATLAB,and the simulation results are analyzed to verify the effectiveness and accuracy of the algorithm.Finally,the ADS-B data is obtained from the airport,and the conflict track and non-conflict track are constructed respectively,which are imported into the algorithm for anti-collision detection.The test results show that the general aviation anti-collision detection algorithm based on ADS-B can effectively judge the potential collision threat between the two aircrafts,and verify the effectiveness and accuracy of the algorithm.Finally,some suggestions for the further research of general aviation air collision detection are put forward.
Keywords/Search Tags:General aviation, ADS-B, Collision detection, EVENT improved model, Safety separation
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