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Application of Kalman filtering to the calibration and alignment of inertial navigation systems

机译:卡尔曼滤波在惯性导航系统标定和对准中的应用

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摘要

The development of Kalman filters for the calibration and alignment of complex inertial guidance systems is presented. The attitude error equation is augmented by gyro and accelerometer model parameters. The mechanization of the algorithm involves preprocessing the raw measurements to reduce the computational load. Results for simulated data show that preprocessing has very little effect on the performance of the filter. Other topics discussed include gyro and accelerometer models and a technique for generating parameter excitation trajectories.
机译:介绍了用于复杂惯性制导系统的校准和对准的卡尔曼滤波器的开发。陀螺仪和加速度计模型参数增加了姿态误差方程。该算法的机械化包括对原始测量值进行预处理以减少计算量。模拟数据的结果表明,预处理对滤波器的性能影响很小。讨论的其他主题包括陀螺仪和加速度计模型以及用于生成参数激励轨迹的技术。

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