摘要
卫星导航系统存在许多类型的故障模型,其中最难检测的是慢变斜坡故障(SGE)。针对卫星导航/捷联惯导(GNSS/SINS)组合导航系统中存在的慢变斜坡故障,本文给出了一种新的算法——速率检测算法。该算法是基于对传统检测量增长速率的检测,通过在自主完好性外推法(AIME)的基础上增加一个卡尔曼滤波器,检测滤波器观测量速率变化来实现故障检测。仿真实验表明,本文的速率检测算法比AIME算法具有更好的检测效果,幅值越小的斜坡故障节省的时间越多。
There are many types of failure modes in satellite navigation system, and the worst case failure mode with regard to its detection by an integrity algorithm is the slowly growing （ramp type） errors （SGE）. Aiming at the slowly growing （ ramp type） errors in the integrated GNSS/SINS system, this paper presents a new integrity monitoring method, rate detector algorithm. The concept of the new algorithm is based on the detection of the rate of the conventional test statistic. Rate detector was realized by a simple Kalman filter whose state variables were based on AIME algorithm and the fault can be detected by detec- tion of the rate of test statistic. Simulation results show that this new algorithm can get better performance than AIME algorithm in integrity monitoring. The smaller the amplitude of the slope failure the more time will be saved.
出处
《航空兵器》
2012年第4期11-15,共5页
Aero Weaponry
基金
航空科学基金(20090852011)
江苏省自然科学基金(KB2011729)
