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中国区域电离层异常数据野值检测
引用本文:刘禹彤,李锐,包俊杰,刘亚希.中国区域电离层异常数据野值检测[J].北京航空航天大学学报,2020,46(1):133-140.
作者姓名:刘禹彤  李锐  包俊杰  刘亚希
作者单位:1.北京航空航天大学 电子信息工程学院, 北京 100083
摘    要:针对中国区域连续运行参考站接收机野值会干扰星基增强系统(SBAS)电离层异常事件提取的问题,提出了一种基于电离层垂直延迟时间梯度的野值检测方法。首先,介绍了电离层延迟数据的提取方法;然后,论述了依据野值和电离层异常的不同时空相关特性进行野值检测的方法,并用单双频定位误差结果验证了野值检测的正确性;最后,对检测结果进行了分析。结果表明:该方法可有效区分野值和电离层异常;在中国大陆构造环境监测网络200多个参考站中,野值检测所剔除的参考站数目在3~10个,对电离层穿透点空间分布的影响在可接受范围内。 

关 键 词:中国区域    星基增强系统(SBAS)    电离层    延迟值异常    野值检测
收稿时间:2019-04-04

Outlier detection of ionospheric anomaly data in China
Institution:1.School of Electronic and Information Engineering, Beihang University, Beijing 100083, China2.Suzhou Institude, Beihang University, Suzhou 215200, China
Abstract:To solve the problem that continuously operating reference stations' receiver's outliers in China will interfere with ionospheric anomaly event extraction of satellite-based augmentation system (SBAS), an outlier detection method based on the ionospheric vertical delay time gradient is proposed. First, ionospheric delay data extraction method was introduced. Then, the ionospheric vertical delay time gradient outlier was detected based on the different spatio-temporal correlation characteristics of outlier and ionospheric anomaly. The correctness of outlier detection was verified by single-frequency and dual-frequency positioning error results. Finally, the detection results were analyzed. The results show that the method can effectively distinguish between outliers and ionospheric anomalies; among more than 200 reference stations of crustal movement observation network of China, the number of reference stations rejected by the outlier detection is about 3 to 10, and the effect on the spatial distribution of the ionospheric penetration points is within an acceptable range. 
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