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Application of fault tolerant and federated strong tracking Kalman algorithm in integrated navigation system

机译:容错联合强跟踪卡尔曼算法在组合导航系统中的应用。

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An improved federated strong tracking Kalman filter has been proposed creatively and has been used in loose coupling MSINS/GPS integrated navigation system. Adopting three-layer fault tolerant structure, it can effectively check the errors of data outlier, GPS's velocity jump and the malfunction of the filter state estimate. When the system fault has been diagnosed, it can be insulated in real time, which can make this system have better ability of tolerant the faults. The simulation results show that this approach can resolve the problem of the correlation of GPS's position and velocity measurement data, GPS's velocity jump and the system's sensitivity to initial values. Thus, the real time character, Robust and the ability of tolerating faults of the system has been improved.
机译:创造性地提出了一种改进的联邦强跟踪卡尔曼滤波器,并已用于松耦合MSINS / GPS组合导航系统中。采用三层容错结构,可以有效地检查数据异常值,GPS的速度跳变以及滤波器状态估计的故障。诊断出系统故障后,可以对其进行实时隔离,从而使系统具有更好的容错能力。仿真结果表明,该方法可以解决GPS的位置和速度测量数据之间的相关性,GPS的速度跳变以及系统对初始值的敏感性问题。因此,提高了实时性,鲁棒性和系统容错能力。

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