电光与控制, 2019, 26 (3): 8, 网络出版: 2019-03-25  

基于ADS-B的时间轴映射航路冲突检测算法

A Route Conflict Detection Algorithm Based on ADS-B′s Time-Axis Mapping
作者单位
西北工业大学明德学院, 西安 710124
摘要
由于ADS-B工作范围广, 将其应用于航空避撞系统时, 在原先的避撞区域外再构建保护区域进行提前避撞, 可进一步提高避撞系统性能, 航路冲突检测是提前避撞的前提, 其算法复杂。提出时间轴映射航路冲突检测算法, 将航路冲突问题转化为分别求解X,Y,Z轴冲突区间问题, 再由X,Y,Z轴的冲突区间分别映射到时间轴得到冲突时间段, 最后通过求解3个冲突时间段的交集来确定航路冲突。仿真实验中, 对ADS-B工作范围100 n mile内的入侵飞机在ATC规定的避撞区域进行航路冲突检测, 结果只有1‰左右的入侵飞机存在冲突, 这与ATC规定的避撞区域和ADS-B工作范围100 n mile体积之比接近, 证明算法的正确性。
Abstract
ADS-B has a wide working range, and when it is applied to the collision-avoidance system in aviation, it builds a protective zone outside the previous collision-avoidance zone to avoid any collision from happening in advance, which further improves the performance of the collision-avoidance system.The detection of route conflicts is the premise of avoiding collision in advance, and the relevant algorithms are complex.To solve the problem, an algorithm of route conflict detection was proposed based on time-axis mapping.First, this algorithm interpreted route conflict as an issue of calculating the conflict intervals on the X, Y and Z axis respectively.Then, the conflict intervals on the X, Y and Z axis were mapped onto the time axis to get the conflict time periods.Finally, the intersection of the three conflict time periods was calculated to determine the route conflict.In the simulation, a detection test for the route conflicts of the invading aircrafts was conducted in the ATC collision-avoidance area within 100 nautical miles of the ADS-B working range.The results showed that only 1‰ of the invading aircrafts were in conflict, which was close to the volume ratio between the ATC collision-avoidance area and the 100 nautical miles of the ADS-B working range.Therefore, the correctness of the algorithm is proved.

李波, 翟书颖, 李茹, 保慧琴, 刘建都. 基于ADS-B的时间轴映射航路冲突检测算法[J]. 电光与控制, 2019, 26(3): 8. LI Bo, ZHAI Shu-ying, LI Ru, BAO Hui-qin, LIU Jian-du. A Route Conflict Detection Algorithm Based on ADS-B′s Time-Axis Mapping[J]. Electronics Optics & Control, 2019, 26(3): 8.

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