摘要
为提高民用飞机的综合导航性能,确保RNP运行的安全性,提出了一种基于DR/GPS/VOR/DME的机载综合导航系统及实际导航性能评估方法。考虑多传感器导航系统的误差特性,建立了系统误差模型,采用残差χ2检测方法构建系统量测模型,基于序贯处理的平方根滤波方法实现位置的最佳估计,并基于位置协方差阵实现ANP的实时评估。仿真结果表明:综合导航系统能够实现位置的精确估计,ANP算法能够在95%时间内评估导航系统实时误差特性,具有较高的评估精度,满足RNP运行要求。
In order to improve the integrated navigation performance of the civil plane and ensure the safety of the RNP operation,an onboard integrated navigation system and performance evaluation method based on DR/GPS/VOR/DME is proposed. Considering multi-sensor error,the system error model is established. The measurement model of system is designed based on residual error χ2 detection method. The square-root filter based on sequential processing is used to implement position optimization estimation. Simulation result indicates that the integrated navigation can estimate the position accurately.The ANP algorithm can estimate the real-time error characteristics of integrated navigation system during the 95% time and have high assessment precision,which can satisfy the requirement of RNP.
出处
《指挥控制与仿真》
2017年第2期123-128,共6页
Command Control & Simulation
关键词
RNP
综合导航
性能评估
卡尔曼滤波
RNP
integrated navigation
performance evaluation
Kalman filter
