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Self-calibration of INS/Odometer integrated system via Kalman filter

机译:通过卡尔曼滤波器对INS /里程表集成系统进行自校准

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The alignment of inertial navigation system (INS) body axis with vehicle body frame (VBF), and calibration of odometer's scale factor are vital necessities for INS/Odometer integrated system. The application of nonholonomic constraints and odometer outputs require the INS body frame be well-aligned with VBF, any misaligned attitude angles will cause serious degradation in position drift errors and other attitude estimation. Therefore, aim for a better navigation result, calibration of INS-to-vehicle misalignment angles and odometer's scale factor should be implemented before every use. The purpose of this paper is to design an ease scenario for the estimation of these parameters. We first derive the dynamic model and measurement equations, and then use Kalman filter to estimate the concerned states. In order to keep the self-contained characteristic, only the INS and odometer outputs are employed throughout the calibration. The validity of the proposed method is tested through ground based navigation experiments.
机译:惯性导航系统(INS)的车身轴线与车身框架(VBF)的对齐以及里程表比例系数的校准对于INS /里程表集成系统至关重要。非完整约束和里程表输出的应用要求INS车身框架与VBF良好对齐,任何未对齐的姿态角都会导致位置漂移误差和其他姿态估计的严重降低。因此,为了获得更好的导航效果,应在每次使用前对INS到车辆的未对准角度和里程表的比例因子进行校准。本文的目的是设计用于估计这些参数的简便方案。我们首先导出动力学模型和测量方程,然后使用卡尔曼滤波器估计相关状态。为了保持独立的特性,在整个校准过程中仅使用INS和里程表的输出。通过地面导航实验验证了该方法的有效性。

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