为了增强飞行后性能分析，INS重置移除

IEEE Symposium on Position Location and Navigation. A Decade of Excellence in the Navigation Sciences Pub Date : 1990-03-20 DOI:10.1109/PLANS.1990.66181

John S. A. Hepburn, J. Zywiel, D. B. Reid

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引用次数: 1

摘要

高性能集成惯性导航系统(INS)使用卡尔曼滤波器从INS和各种导航辅助设备(如GPS(全球定位系统)和多普勒)提供的数据中计算最优导航解决方案。当导航系统工作在反馈模式时，利用卡尔曼滤波的误差估计对惯性导航系统进行复位。一个重置移除程序(RRP)已经被开发出来，用于在飞行后处理期间恢复一个高保真的近似于独立的纯惯性导航解决方案，如果它没有在反馈模式下运行，将由INS产生。该方法有效地拓宽了实际物理飞行试验的范围和程度，对综合惯导系统的性能评估具有重要价值。对RRP进行了描述和讨论，并给出了仿真结果来说明其行为

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INS reset removal for enhanced post-flight performance analysis

High-performance integrated inertial navigation systems (INSs) use a Kalman filter to compute the optimal navigation solution from the data provided by an INS and various navigation aids such as GPS (Global Positioning System) and Doppler. The error estimates of the Kalman filter are used to reset the INS when the navigation system operates in feedback mode. A reset removal procedure (RRP) has been developed for recovering, during post-flight processing, a high-fidelity approximation to the unaided pure inertial navigation solution that would have been produced by the INS had it not been operated in feedback mode. The procedure is of great value in carrying out a performance evaluation of an integrated INS because it effectively broadens the scope and extent of actual physical flight trials. The RRP is described and discussed, and simulation results are presented to illustrate its behavior.<>

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IEEE Symposium on Position Location and Navigation. A Decade of Excellence in the Navigation Sciences

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