用粒子滤波改进的飞行冲突探测算法研究  

Particle filtering-based flight conflict detection algorithm

作　　者：翟文鹏[1] 吴昊[1] 王莉莉[1] 任杰[1] 

机构地区：[1]中国民航大学空中交通管理学院

出　　处：《中国安全科学学报》2014年第6期105-108,共4页China Safety Science Journal

基　　金：国家自然科学基金资助(71171190;61179042;U1333116);中央高校基本科研经费资助项目(ZXH2012M003);中国民航大学科研启动基金资助(2012QD02X);大学生创新创业训练计划项目(201410059082)

摘　　要：为提高自由飞行下的冲突探测精度,需要建立减小假警报率的冲突探测算法。建立随机因素影响下的飞行运动学模型,利用粒子滤波算法估计飞行航迹,计算飞行碰撞风险概率。仿真计算结果表明,粒子滤波算法在精确估计航迹的基础上,比传统的基于监视位置计算碰撞风险概率的算法精度更高,且降低了误报率。基于粒子滤波的冲突探测算法有效降低航迹估计误差和冲突探测误差,能够应用到自由飞行下的早期飞行冲突识别研究。Free flight is a method of resolving the airspace congestion problem, but raises safety prob- lems. In order to improve the accuracy of detection of conflict, a conflict detection algorithm which reduces false alarm rates is needed. A model was built for flight under influence of stochastic disturbance factors. Using the particle filtering algorithm, real flight trajectory was estimated. The flight collision risk probabili- ty was calculated. Simulation calculations were made. The result shows that with particle filtering algorism the accuracy of collision risk probability estimation was improved, that the particle filter conflict detection algorithm reduces the estimation error and conflict detection error, and that the method can be applied to identifying conflict in the early stage in the study on flight free flight.

关 键 词：航空运输 碰撞风险评估 粒子滤波 自由飞行 冲突探测 

分 类 号：X949[环境科学与工程—安全科学]