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RKF-based fault tolerant integrated INS/radar altimeter

机译:基于RKF的容错集成INS /雷达高度计

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In this study, the integrated navigation system, consisting of radio and inertial navigation system (INS) altimeters, is presented. INS and the radio altimeter have different benefits and drawbacks. The integration is achieved by using an indirect Kalman filter. Hereby, the error models of the navigators are used by the Kalman filter to estimate vertical channel parameters of the navigation system. In the open loop system, INS is the main source of information, and radio altimeter provides discrete aiding data to support the estimations. At the next step of the study, in case of abrupt faults, the performance of the integrated system is examined. The optimal Kalman filter reacts with abnormal estimates to this situation as expected. To recover such a possible malfunctioning, the robust Kalman filter algorithm is suggested.
机译:在这项研究中,提出了由无线电和惯性导航系统(INS)高度计组成的组合导航系统。 INS和无线电高度仪具有不同的优缺点。积分是通过使用间接卡尔曼滤波器实现的。因此,卡尔曼滤波器使用导航器的误差模型来估计导航系统的垂直通道参数。在开环系统中,INS是主要的信息来源,无线电高度仪提供离散的辅助数据来支持估计。在下一步研究中,如果发生突然故障,将检查集成系统的性能。最佳卡尔曼滤波器对异常情况做出预期的反应。为了恢复这种可能的故障,建议使用鲁棒的卡尔曼滤波算法。

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