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提出了一种采用ADS-B的冲突飞机选择算法,满足未来空域复杂交通态势对自由飞行的需求。算法利用ADS-B提供丰富航行信息及高速更新率等特点,在本机周围40～100nmile范围内,选择出有可能发生冲突的飞机。运用Matlab进行功能仿真,并通过Monte-Carlo方法分析其性能,结果表明算法在排除无威胁飞机方面性能良好,选择效果明显。该算法可以作为飞机冲突概率预测的预处理算法,对保证自由飞行下的飞行安全有着积极的意义。
A collision plane selection algorithm using ADS-B is proposed to meet the need of free flight for the future complex airspace traffic situation. The algorithm uses ADS-B to provide rich navigation information and high-speed update rate and other characteristics, in the 40 ~ 100nmile range around the machine, select the possible conflict aircraft. Using Matlab to simulate the function, the performance of the algorithm is analyzed by Monte-Carlo method. The results show that the algorithm has good performance in eliminating non-threatening aircraft and the effect is obvious. The algorithm can be used as a preprocessing algorithm for the prediction of aircraft collision probability, which has a positive meaning to ensure the flight safety under free flight.