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首页> 外文期刊>Journal of Applied Geophysics >Dynamic measurement of high-frequency deflections of the vertical based on the observation of INS/GNSS integration attitude error
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Dynamic measurement of high-frequency deflections of the vertical based on the observation of INS/GNSS integration attitude error

机译:基于INS / GNSS积分姿态误差观测值的垂线高频挠度动态测量

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A novel method for dynamic measurement of deflections of the vertical (DOVs) by using the integration of inertial navigation system (INS) and global navigation satellite system (GNSS) has been proposed. Since the attitude errors of INS/GNSS integrated system are directly related to DOV, it is expected that DOV can be also estimated via the observation of INS/GNSS attitude errors. First, an attitude reference decoupled from DOV is constructed with the raw gyroscope data of the INS for INS/GNSS attitude error calculation. Then, DOV and various systematic errors including attitude reference error and inertial sensor errors are accurately modeled. The long-wavelength components of DOV are given by global gravity model, and the short-wavelength components are modeled as derivative second-order Gauss-Markov processes. Finally, DOV and systematic errors are simultaneously estimated by a Kalman smoother with the observation of INS/GNSS attitude error. A ship-borne survey campaign is conducted to validate the feasibility of the proposed method. Four sets of DOV data were obtained by two INS/GNSS integrated navigation systems along with two repeated survey lines. The experimental results show that the internal accuracy of the four sets of DOV data can reach better than 0.35 ''(1 sigma). When wavenumber correlation filter (WCF) algorithm is applied to the DOV data obtained by each system along the repeated lines, the DOV estimates from the two systems show good consistency, and the internal accuracy can be improved to about 0.2 ''(1 sigma). (C) 2015 Elsevier B.V. All rights reserved.
机译:提出了一种通过惯性导航系统(INS)和全球导航卫星系统(GNSS)的集成来动态测量垂直方向(DOV)挠度的新方法。由于INS / GNSS集成系统的姿态误差与DOV直接相关,因此希望可以通过观察INS / GNSS姿态误差来估计DOV。首先,使用INS的原始陀螺仪数据构造从DOV解耦的姿态参考,以计算INS / GNSS姿态误差。然后,对DOV和各种系统误差(包括姿态参考误差和惯性传感器误差)进行精确建模。 DOV的长波分量由整体重力模型给出,而短波分量则建模为导数二阶高斯-马尔可夫过程。最后,通过观察INS / GNSS姿态误差,同时用Kalman平滑器同时估算DOV和系统误差。进行了船载调查,以验证所提出方法的可行性。通过两个INS / GNSS集成导航系统以及两条重复的测量线获得了四组DOV数据。实验结果表明,四组DOV数据的内部精度可以达到优于0.35英寸(1 sigma)的精度。将波数相关滤波器(WCF)算法应用于每个系统沿重复线获得的DOV数据时,两个系统的DOV估计值显示出良好的一致性,并且内部精度可以提高到约0.2英寸(1 sigma) 。 (C)2015 Elsevier B.V.保留所有权利。

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