一种改进的基于ADS-B信息的空域冲突检测算法  

An Improved Airspace Encounter Detection Algorithm Based on ADS-B

作　　者：王啸[1] 赵修斌[1] 

机构地区：[1]空军工程大学信息与导航学院,西安710077

出　　处：《科学技术与工程》2013年第32期9771-9776,共6页Science Technology and Engineering

基　　金：军内科研项目资助

摘　　要：研究了机载防撞系统中基于ADS-B信息的空域冲突检测算法,该算法的目的在于为飞行员对可能存在的空域冲突提出告警,使其在冲突发生前有充足的时间做出反应。定义了CAZ和PAZ两个冲突告警区域后,在匀转弯速率航迹外推方法下,根据空域遭遇模型中两遭遇飞机的相对角度的概率统计数据,对预测PAZ冲突的告警区域门限添加了一个压缩系数,使其成为一个椭圆;并分析了不同压缩系数对最后PAZ冲突预警的性能的影响。仿真分析表明,由于CAZ预警存在11.69%的漏警率,使用PAZ预警作为CAZ预警的补充是十分有益和必要的,添加压缩系数实际上通过牺牲一定的告警时间来换取更高的正确预警概率并降低错误预警概率,根据需要使用不同的压缩系数可以达到更好的效果。An airspace encounter detection algorithm in TCAS based on ADS-B information, which is intended to make pilots aware of potential collisions, was investigated. After defining two alert buffer zones, CAZ and PAZ, collisions were detected in a constant turn-rate trajectory propagation method. According to the bearing distribution statistic of two planes in an encounter model, a compressing coefficient, which made the PAZ buffer zone a ellipse cylinder, was proposed. The performance of different coefficients was researched. According to analysis, PAZ alert was recommended as a backup of CAZ alert because of a CAZ missed-detection rate of 11.69%. The use of com- press coefficient depressed detection time, while, led to a higher rate of correct alert and lower rate of nuisance alert. It can make a better performance to choose an appropriate compressing coefficient based on the environment.

关 键 词：空中防撞系统(TCAS) 冲突检测 空域遭遇模型 可调式避震系统(adapfive DAMPING system ADS-B) 

分 类 号：V328.3[航空宇航科学与技术—人机与环境工程]