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Further development of the attitude difference method for estimating deflections of the vertical in real time

机译:姿态差法实时估算垂线挠度的进一步发展

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An improvement of the attitude difference method (ADM) to estimate deflections of the vertical (DOV) in real time is described in this paper. The ADM without offline processing estimates the DOV with a limited accuracy due to the response delay. The proposed model selection-based self-adaptive delay feedback (SDF) method takes the results of the ADM as the a priori information, then uses fitting and extrapolation to estimate the DOV at the current epoch. The active region selection factor F-th is used to take full advantage of the Earth model EGM2008 and the SDF with different DOV exhibitions. The factors which affect the DOV estimation accuracy are analyzed and modeled. An external observation which is specified by the velocity difference between the global navigation satellite system (GNSS) and the inertial navigation system (INS) with DOV compensated is used to select the optimal model. The response delay induced by the weak observability of an integrated INS/GNSS to the violent DOV disturbances in the ADM is compensated. The DOV estimation accuracy of the SDF method is improved by approximately 40% and 50% respectively compared to that of the EGM2008 and the ADM. With an increase in GNSS accuracy, the DOV estimation accuracy could improve further.
机译:本文描述了一种用于实时估计垂直方向(DOV)挠度的姿态差方法(ADM)的改进。由于响应延迟,未经离线处理的ADM估计DOV的精度有限。提出的基于模型选择的自适应延迟反馈(SDF)方法将ADM的结果作为先验信息,然后使用拟合和外推法估计当前时期的DOV。有效区域选择因子F-th用于充分利用地球模型EGM2008和带有不同DOV展览的SDF。分析和建模影响DOV估计准确性的因素。由全球导航卫星系统(GNSS)与惯性导航系统(INS)之间的速度差指定的外部观测值(经DOV补偿)用于选择最佳模型。由集成INS / GNSS的弱可观察性引起的对ADM中剧烈的DOV干扰的响应延迟得到了补偿。与EGM2008和ADM相比,SDF方法的DOV估计准确性分别提高了约40%和50%。随着GNSS准确性的提高,DOV估计准确性将进一步提高。

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