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Research on Ionospheric Grid Correction Strategy Based on Chinese Region

机译:基于中国地区的电离层网格校正策略研究

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The estimate of Grid Ionospheric Vertical Delay (GIVD) and Grid Ionospheric Vertical Delay Error (GIVE) is the core content of ionospheric delay processing section in Satellite Based Augmentation Systems (SBAS). At present, WAAS and EGNOS respectively use Kriging method and Inverse Distance Weighting (EDW) method to estimate GIVD and GIVE. The existence of a fixed ionospheric abnormal zone at low latitudes south of the Yangtze River in China led to the advantages and disadvantages of the two algorithms in different regions of China. Aiming at this problem, this paper takes two mature methods of ionospheric grid correction as a reference, combined with the distribution characteristics of ionosphere in China, selected the measured data in China for simulation analysis. According to the comparative analysis of the simulation performance of the algo?rithm, this paper proposes an algorithm combination of strategies. This paper selects the measured data of 31 monitoring stations and 30 user stations from Crustal Movement Observation Network of China (CMONOC) for verification. Firstly, the spatial correlation characteristics of the ionosphere over China are analyzed and the applicability of the two algorithms to China is adjusted. Secondly, we compare the performance of the two mature algorithms. Finally, based on the comparative analysis, combined with the theoretical analysis of the use of two algorithms, this paper puts forward the combination strategy. In the area north of the Yangtze River, the ionospheric delay error model is stable and Kriging method is adopted to obtain a larger service area and better calibration performance. At the same time, in the area south of the Yangtze River, in order to counter the frequent occurrence of ionospheric abnormal, IDW method was chosen to ensure the integrity. The results show that compared with the IDW method alone, the combination accuracy is improved and the service area in the marginal area is expanded. Compared with the single plane Kriging method, the combined method ensures the integrity of the ionosphere active area in the south of the Yangtze River.
机译:网格电离层垂直延迟(GIVD)和栅极电离层垂直延迟误差(给出)的估计是基于卫星的增强系统(SBA)的电离层延迟处理部分的核心含量。目前,WAAS和EGNOS分别使用Kriging方法和逆距离加权(EDW)方法来估计GIVD并提供。中国长江南部低纬度地区固定电离层异常区的存在导致了中国不同地区两种算法的优缺点。针对这个问题,本文采用了两种成熟的电离层电网校正方法作为参考,结合中国电离层的分布特征,选择了中国的测量数据进行仿真分析。根据Algo的模拟性能的比较分析,本文提出了一种策略组合的算法。本文从中国(CMONOC)的地壳运动观察网络中选择了31个监测站和30个用户站的测量数据进行验证。首先,分析了中国电离层的空间相关特征,调整了两种算法对中国的适用性。其次,我们比较了两种成熟算法的性能。最后,基于对比分析,结合使用两种算法的理论分析,本文提出了组合策略。在长江北部的地区,电离层延迟误差模型是稳定的,采用Kriging方法获得更大的服务区和更好的校准性能。与此同时,在长江南部的地区,为了频繁发生电离层异常,选择IDW方法以确保完整性。结果表明,与单独的IDW方法相比,组合精度得到改善,并且边际区域中的服务区域被扩展。与单平面Kriging方法相比,组合方法确保了长江南部电离层活性区域的完整性。

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