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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。
To improve the accuracy of collision detection in free flight, it is necessary to establish a collision detection algorithm to reduce the false alarm rate. The flight kinematics model under the influence of random factors is established. The particle filter algorithm is used to estimate the flight path and the flight collision risk probability is calculated. The simulation results show that the particle filter algorithm can accurately estimate the trajectory based on the accuracy of the collision risk probability calculation algorithm based on the traditional monitoring position, and reduce the false alarm rate. The collision detection algorithm based on particle filter effectively reduces the trajectory estimation error and collision detection error, and can be applied to the early flight conflict identification in free flight.