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GNSS/INS TIGHTLY COUPLING SYSTEM INTEGRITY MONITORING BY ROBUST ESTIMATION

机译:GNSS / INS紧密耦合系统完整性的鲁棒估计监测

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Integrity monitoring of the GNSS/INS integrated system is of greatrnimportance for safety critical applications. An improved integrity monitoringrnmethod for GNSS/INS integrated system which is based on robust estimationrnis developed in this paper for the purpose of enhancing the ability of faultrndetection and exclusion. Complete algorithm of fault detection and exclusionrnbased on multi hypotheses innovation separation is built in this paper. Thernrobust estimation and the fault detection and exclusion algorithm arerncombined to improve the performance of both algorithms. The traditionalrnmethods are mostly troubled by the micro and slow growing faults becausernof the innovations’ distortion caused by error tracking of the filter, whichrnbrings difficulties to fault detection and exclusion algorithm. Robustrnestimation is an effective way to reduce the effect of error tracking underrnmicro and slow growing faults by reducing the effect of the faultyrnmeasurements and hence to provide more accurate innovations. By usingrnrobust estimation in GNSS/INS integrated system, the distortion of therninnovations is obviously reduced and the ability of fault detection andrnexclusion is enhanced. The theoretical analysis and computer simulationsrnprove the performance improvements based on the proposed method.
机译:GNSS / INS集成系统的完整性监控对于安全关键型应用非常重要。为了增强故障检测和排除能力,本文基于鲁棒估计器,开发了一种改进的GNSS / INS集成系统完整性监测方法。建立了基于多假设创新分离的故障检测与排除的完整算法。鲁棒估计和故障检测与排除算法相结合,以提高两种算法的性能。传统方法大多受微故障和缓慢发展的故障困扰,因为由于滤波器的错误跟踪而导致的创新失真,给故障检测和排除算法带来了困难。鲁棒性估计是一种有效的方法,可通过减少故障测量的影响来降低微不足道的错误跟踪和缓慢发展的故障的影响,从而提供更准确的创新。通过在GNSS / INS集成系统中使用鲁棒估计,可以显着减少创新的失真,并增强故障检测和排除的能力。理论分析和计算机仿真验证了该方法的性能改进。

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