赵庆志, 姚宜斌, 罗亦泳. 附加辅助层析区域提高射线利用率的水汽反演方法[J]. 武汉大学学报 ( 信息科学版), 2017, 42(9): 1203-1208, 1222. DOI: 10.13203/j.whugis20150592
引用本文: 赵庆志, 姚宜斌, 罗亦泳. 附加辅助层析区域提高射线利用率的水汽反演方法[J]. 武汉大学学报 ( 信息科学版), 2017, 42(9): 1203-1208, 1222. DOI: 10.13203/j.whugis20150592
ZHAO Qingzhi, YAO Yibin, LUO Yiyong. A Method to Improve the Utilization of Observation for Water Vapor Tomography by Adding Assisted Tomographic Area[J]. Geomatics and Information Science of Wuhan University, 2017, 42(9): 1203-1208, 1222. DOI: 10.13203/j.whugis20150592
Citation: ZHAO Qingzhi, YAO Yibin, LUO Yiyong. A Method to Improve the Utilization of Observation for Water Vapor Tomography by Adding Assisted Tomographic Area[J]. Geomatics and Information Science of Wuhan University, 2017, 42(9): 1203-1208, 1222. DOI: 10.13203/j.whugis20150592

附加辅助层析区域提高射线利用率的水汽反演方法

A Method to Improve the Utilization of Observation for Water Vapor Tomography by Adding Assisted Tomographic Area

  • 摘要: 在已有的全球导航卫星系统水汽反演技术中,能够利用的观测值是完整穿过整个层析区域的卫星射线。由于卫星、接收机几何位置分布以及层析区域选择的特定性,许多卫星射线是从层析区域侧面穿出,这些射线通常当作无效信息被剔除,降低了层析结果的精度。针对该缺点,提出并实现了一种附加辅助层析区域提高射线利用率的水汽反演方法,使从研究区域侧面穿出的信号信息也可以被利用。基于美国得克萨斯州(Texas)地区的连续运行参考站(Continuously Operation Reference Stations,CORS)网的实测数据,结合层析区域内的无线电探空仪数据进行实验,结果表明,该方法能够提高水汽反演结果的精度,其均方根误差的改善率为14.6%。

     

    Abstract: In existing Global Navigation Satellite System (GNSS) water vapor tomographic techniques, only signals which penetrate the entire research area are used. Due to the specific geometric distribution of satellite constellations and receivers as well as the specificity of tomography area, many signals penetrating from the side of a research area are excluded as ineffective information, which undermines the tomographic result. To solve this issue, a method is proposed for improving the utilization of signal rays by adding an assisted tomographic area, which allows the signal information crossed from the side of a research area to be utilized as well. An experiment using data from the Continuously Operation Reference Stations (CORS) network of Texas in UAS, is compared with radiosonde data of 72 249. The results show that the proposed method can enhance the accuracy of tomographic results, the improvement rate of Root Mean Square Error (RMS) was 14.6%.

     

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