摘要
针对大方位失准角的机载SINS/GPS组合导航系统,为保证在高动态环境下实现高精度、高可靠的导航,利用强跟踪EKF滤波残差设计了一种基于残差统计特性的坏值检测算法,对导航信息进行估计和跟踪。仿真结果表明,该算法能够实时检测出GPS量测信息中的坏值信息,隔离后可显著提高组合导航精度,具有较高的可靠性、出色的容错能力和重要的工程应用价值。
To achieve high precision and reliability navigation for airborne SINS/GPS integrated navigation system with large azimuth misalignment in high dynamic environment, a fault-detection method based on strong tracking EKF （extended Kalman filter） and filter residuals is designed to estimate and track navigation information. The simulated results show that this method can detect GPS outlier and improve integrated navigation precision after isolation. The method has excellent fault tolerance performance and important reference value for projects.
出处
《航空精密制造技术》
2016年第2期23-26,9,共5页
Aviation Precision Manufacturing Technology
关键词
强跟踪EKF
故障检测
故障隔离
残差检测
Strong tracking extended kalman filter
Fault detection
Fault isolation
Residual checking
