中国沿海GNSS观测站数据质量检核和分析

发布时间：2018-06-17 05:41

本文选题：GNSS + 数据质量　；参考：《山东科技大学》2017年硕士论文

【摘要】：本文以中国沿海GNSS业务化观测系统2009-2016年的观测数据为基础,在总结国内外有关数据质量分析的基础上,较深入地分析了中国沿海GNSS观测站数据质量变化趋势,探讨了数据质量指标的相关性,分析了数据质量的影响因素,以及数据质量对解算结果的影响,并提出了提高数据解算结果精度的方法,为该系统后续的运行维护提供行之有效的参考。本文的主要工作有如下几个方面:1、对中国沿海GNSS观测站数据质量进行了较为系统的统计分析。按纬度分三区域对连续观测数据的数据质量进行检核和分析,探讨地域差异对数据质量的影响;研究了数据质量指标的相关性;对比分析部分GNSS观测站GPS、BDS、GLONASS多系统的数据质量情况,为后续数据解算系统定权提供参考;2、对数据质量影响因素从高空电离层环境、地面观测环境、硬件设备等三个方面进行了较为系统的分析,发现观测环境对数据质量有影响但影响不大,硬件设备老化是造成数据质量逐年变差的主要原因。分析了极端天气发生时GNSS观测站数据质量的响应情况,结果表明灾害发生前后电离层延迟的变化往往会引起数据质量小幅波动,数据质量的准实时监测和系统的日常维护应引起重视;3、对部分沿海GNSS观测站与周边IGS跟踪站的数据质量进行了对比分析,结果表明IGS跟踪站数据质量逐年变差的现象并不明显,跟踪站的日常维护更为科学得当,接收机处于恒温恒湿的环境可有效延缓观测硬件设备的老化,这为中国沿海GNSS业务化系统的运行维护提供行之有效的参考和建议;4、分析了数据质量对数据解算结果的影响,提出了利用剔星滤波的方式提高数据解算结果精度。
[Abstract]:Based on the observational data of China Coastal GNSS operational observation system 2009-2016, and on the basis of summarizing the analysis of data quality at home and abroad, the variation trend of data quality of China Coastal GNSS Observatory is analyzed in depth in this paper. This paper discusses the correlation of data quality index, analyzes the influencing factors of data quality and the influence of data quality on the result of calculation, and puts forward a method to improve the accuracy of data calculation result. It provides an effective reference for the subsequent operation and maintenance of the system. The main work of this paper is as follows: 1. A systematic statistical analysis of the data quality of China's coastal GNSS observation station is carried out. The data quality of continuous observation data is checked and analyzed in three regions according to latitude, the influence of regional difference on data quality is discussed, and the correlation of data quality index is studied. The data quality of part GNSS observation station GPS-BDSGLONASS is compared and analyzed, which provides a reference for the subsequent data resolution system weight determination, and influences the factors of data quality from the high-altitude ionospheric environment to the ground observation environment. It is found that the observation environment has a little effect on the data quality, and the aging of the hardware equipment is the main reason for the deterioration of the data quality year by year. The response of GNSS observation station data quality to extreme weather is analyzed. The results show that the variation of ionospheric delay before and after disasters often causes a small fluctuation of data quality. The quasi-real-time monitoring of data quality and the daily maintenance of the system should be paid attention to. The data quality of some coastal GNSS observation stations and the peripheral IGS tracking stations are compared and analyzed. The results show that the data quality of IGS tracking stations is becoming worse year by year. The routine maintenance of the tracking station is more scientific and proper, and the receiver in a constant temperature and humidity environment can effectively delay the aging of the observation hardware equipment. This paper provides an effective reference and suggestion for the operation and maintenance of the operational GNSS system in China's coastal areas. The influence of data quality on the data solution results is analyzed, and the method of tick filtering is proposed to improve the accuracy of the data resolution results.
【学位授予单位】：山东科技大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：P228.4

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