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中文摘要：
基于联邦滤波的容错组合导航系统通常在判定故障时刻对故障子系统进行整体隔离,未充分考虑缓变故障影响的渐近变化与状态分量间的差异.为此,提出一种基于序贯概率映射的组合导航自适应容错算法.该算法通过子滤波器新息动态映射建立局部估计状态统计模型,通过序贯概率比检测在线估计缓变故障影响下的局部状态质量,并据此对融合过程进行自适应调节.仿真结果表明,所提出的方法能有效提高组合导航系统对缓变故障的自适应容错调节能力.
英文摘要：
In the navigation based on the federated filter, the fault subsystem is isolated entirely on the fault-detected epoch, without considering the asymptotic changing and components difference of soft fault influence. Therefore, a kind of adaptive fault-tolerant algorithm based on sequential probability mapping for the integrated navigation is proposed. The statistic model of local estimation states is built by fault dynamic mapping. Then the quality of local estimation states under soft fault is calculated online by sequential probability ratio test and finally used in adaptive tuning of global fusion. The simulation results show that the proposed algorithm can improve the falut-tolerant performance under soft fault significantly.
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