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Precision Analysis of Terrestrial Reference Frame Parameters Based on EOP A-Priori Constraint Model

机译:基于EOP A-Priori约束模型的地面参考系参数精度分析

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Earth Orientation Parameters (EOPs) are quantitative parameters that reflect the Earth spatial motion and its rates along the rotation axes. Precession and nutation parameters can be precisely described by the theoretical model, while the complex variation of the pole motion and LOD (length of day) is difficult to be modelled and hard to be predicted with high precision. With the development of Global Navigation Satellite System (GNSS), the spatial and temporal resolution of EOP products have been greatly improved. In GNSS data analysis, a-priori EOPs are normally used as the prediction from the IERS, and the constraint applied on a-priori EOP parameters has much impact on the estimates of GNSS solutions. This paper studies this impacts and develops an a-priori EOP constraint model. GPS data of 142 evenly distributed IGS stations from the beginning of 2010 to the end of 2015 are used for data analysis. Firstly, the precision of the pole motion, LOD and station coordinates under two mostly-used constraint conditions are compared and analyzed, which proves the impact of a-priori EOP constraint on GNSS solutions. Secondly, an a-priori EOP constraint model (pole motion composed of four periodical terms, while LOD composed of two periodical terms) is then developed, where the periodical terms are determined using the Least Square Spectrum Analysis (LSSA) approach. Lastly, the new model is used as the constraint conditions in GNSS solutions. Compared with above two mostly-used constraints, the pole motion and LOD parameters under the new constraint model is closer to the IGS products with largest improvement of 75%, which demonstrates that the new EOP a-prior constraint model can effectively improves the precision of GNSS parameters.
机译:地球方向参数(EOP)是反映地球空间运动及其沿旋转轴的速率的定量参数。进动和章动参数可以通过理论模型精确描述,而极运动和LOD(一天的长度)的复杂变化很难建模,也很难高精度预测。随着全球导航卫星系统(GNSS)的发展,EOP产品的时空分辨率得到了极大的提高。在GNSS数据分析中,通常将先验EOP用作来自IERS的预测,并且对先验EOP参数施加的约束对GNSS解决方案的估计有很大影响。本文研究了这种影响并建立了先验的EOP约束模型。将从2010年初到2015年底的142个IGS均匀分布的站点的GPS数据用于数据分析。首先,对两个常用约束条件下的极点运动精度,LOD和测站坐标进行了比较和分析,证明了先验EOP约束对GNSS解的影响。其次,建立先验的EOP约束模型(极点运动由四个周期项组成,而LOD由两个周期项组成),其中使用最小二乘频谱分析(LSSA)方法确定周期项。最后,将新模型用作GNSS解决方案的约束条件。与上面两个最常用的约束相比,新约束模型下的极点运动和LOD参数更接近IGS产品,最大改进幅度为75%,这表明新的EOP先前约束模型可以有效地提高定位精度。 GNSS参数。

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