首页 | 官方网站   微博 | 高级检索  
     

惯性/卫星导航系统实际导航性能评估算法
引用本文:彭旭飞,祖肇梓,朱成阵,祁鸣东.惯性/卫星导航系统实际导航性能评估算法[J].电子测试,2021(3):41-45.
作者姓名:彭旭飞  祖肇梓  朱成阵  祁鸣东
作者单位:中国航空工业集团公司西安飞行自动控制研究所,陕西西安,710065
摘    要:针对惯性/卫星组合导航进行实际导航性能(Actual Navigation Performance,ANP)评估,是保证飞机所需导航性能(Required Navigation Performance,RNP)及航空运行安全的关键。提出了惯性/卫星组合导航系统实际导航性能评估算法,从卡尔曼滤波器位置协方差矩阵开展分析,结合导航数据二维高斯分布特性,求解出标准误差椭圆。根据概率分布特性,将误差椭圆转换为95%概率误差圆,进而计算出ANP值。最后惯性/卫星组合导航数据进行仿真验证。结果表明,方法切实可行,且便于工程实践。

关 键 词:惯性/卫星组合导航  卡尔曼滤波  高斯分布  95  概率误差圆  实际导航性能

Actual navigation performance evaluation algorithm of INS/GNSS navigation system
Peng Xufei,Zu Zhaozi,Zhu Chengzhen,Qi Mingdong.Actual navigation performance evaluation algorithm of INS/GNSS navigation system[J].Electronic Test,2021(3):41-45.
Authors:Peng Xufei  Zu Zhaozi  Zhu Chengzhen  Qi Mingdong
Affiliation:(Xi’an Flight Automatic Control Research Institute,Aviation Industry Corporation of China,Xi’an Shaanxi,710065)
Abstract:Actual Navigation Performance(ANP)assessment for inertial navigation system(INS)/global navigation satellite system(GNSS)integrated navigation is the key to ensure the required navigation performance(RNP)of aircraft and aviation operation safety.In this paper,the Actual Navigation Performance algorithm of the INS/GNSS integrated navigation is proposed.The position covariance matrix of the Kalman Filter is analyzed,and the error ellipse is solved by combing the twodimensional Gaussian distribution characteristics of navigation data.According to the characteristics of the probability distribution,the error ellipse is converted into a 95%probability error circle,and then the ANP value is calculated.Finally,the INS/GNSS integrated navigation data is used to implement a simulation.The result shows that this method is feasible and convenient for engineering practice.
Keywords:INS/GNSS integrated navigation  Kalman Filter  Gaussian distribution  95%probability error circle  actual navigation performance
本文献已被 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司    京ICP备09084417号-23

京公网安备 11010802026262号