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A Self-calibration Method for Systematic Errors of Photoelectric Theodolite

机译:一种自校准方法,用于光电经纬仪的系统误差

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In order to calibrate and correct systematic errors of photoelectric theodolite in a dynamic observating process, a self-calibration method which is applicable to the situation of multiple photoelectric theodolites tracking a kinetic object synchronously is provided in this paper. It's fundamental principle is: applying B spline function with coefficients to be estimated to approximate object's trajectory, setting up a multi-theodolite observation equation set including the systematic errors model of measurements, and fusing all observation equations and measurements in a long time segment, then establishing a parameter estimation model which has great redundancy information about the object's trajectory (B spline coefficients) and systematic errors, and using the parameter estimation method to obtain the estimation of all parameters and systematic errors. Simulation results indicate that in a case of 3 photoelectric theodolites located suitably tracking a kinetic object synchronously, the mean difference between estimations and the simulative value of systematic error coefficients is less than 0.1 seconds of degree, and the standard deviation of the estimation error is less than 3.3 seconds of degree mostly. So systematic errors of the photoelectric theodolites can be calibrated and corrected accurately by using this method.
机译:为了在动态观测过程中校准和校正光电经纬仪的系统误差,本文提供了一种自校准方法,可用于多个光电经纬件跟踪动词对象的情况。它是基本原理是:应用B样条函数与系数估计为近似对象的轨迹,设置多实时观测方程集,包括系统错误的测量模型,并融合所有观察方程和在长时间段中的测量值。建立一个参数估计模型,其具有关于对象轨迹(B样条系数)和系统错误的冗余信息,以及使用参数估计方法来获得所有参数和系统错误的估计。仿真结果表明,在3个光电经纬件同步地追踪动力对象的情况下,估计与系统误差系数的模拟值之间的平均差异小于0.1秒,估计误差的标准偏差较小主要是3.3秒的程度。因此,通过使用该方法可以精确地校准和校正光电经纬仪的系统误差。

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