多设备数据融合的空中防撞预警研究

空中防撞预警是保证飞行安全的一项重要课题，而随着各大机场吞吐量的不断攀升， 航路日益拥堵，对空中防撞性能的要求也随之增加。为了提高目前空中防撞探测距离和探测精度， 利用 ADS-B 和本机 GPS 接收机获取入侵飞行器的相对位置信息，以 GPS 报文中的 EPU 值为质量参数，对 ADS-B 数据和 TCAS 数据融合，获得最优线性融合，最后滤波输出高精度位置信息。 仿真实验结果表明，通过 EPU 数据的引入该融合算法运算速度快，精度高，提高了相对位置探测精度和预警范围，为空中防撞策略提供了更为准确的判断依据，可以显著提高空中防撞预警能力。

Study of Air Collision Avoidance Alert Based on Data Fusion of ADS-B and TCAS

Air collision warning is an important task to ensure flight safety and by the increasing throughput of airports, the air route is congested and high performance air collision avoidance alert is required. ADS-B and airborne GPS receiver is used to obtain the relative position information. With EPU data, from GPS message, ADS-B and TCAS data fuss to obtain an optimal linear fusion and the final filter output shall greatly improve the precision of relative position which is able to provide a more accurate judging condition for air collision avoidance strategy. The simulation experiment results show that the fusion algorithm well performed in computing speed, accuracy, robustness thus significantly improve the ability of air collision alert.