中国区域电离层异常数据野值检测

刘禹彤; 李锐; 包俊杰; 刘亚希

doi:10.13700/j.bh.1001-5965.2019.0152

中国区域电离层异常数据野值检测

doi: 10.13700/j.bh.1001-5965.2019.0152

刘禹彤¹,
李锐^{1, 2, ,},
包俊杰¹,
刘亚希^{1, 2}

1.
北京航空航天大学电子信息工程学院, 北京 100083
2.
北京航空航天大学苏州创新研究院, 苏州 215200

详细信息

作者简介:
刘禹彤, 女, 硕士研究生。主要研究方向:星基增强系统电离层网格校正技术及电离层异常检测方法

李锐, 男, 博士, 高级工程师。主要研究方向:卫星导航完好性

通讯作者:
李锐, E-mail:lee_ruin@263.net

中图分类号: P228.4
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- 被引次数: 5
出版历程
- 收稿日期: 2019-04-04
- 录用日期: 2019-06-08
- 网络出版日期: 2020-01-20

Outlier detection of ionospheric anomaly data in China

LIU Yutong¹,
LI Rui^{1, 2
, ,},
BAO Junjie¹,
LIU Yaxi^{1, 2}

1.
School of Electronic and Information Engineering, Beihang University, Beijing 100083, China
2.
Suzhou Institude, Beihang University, Suzhou 215200, China

More Information

Corresponding author: LI Rui, E-mail:lee_ruin@263.net

摘要

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。
- 中国区域 /
- 星基增强系统(SBAS) /
- 电离层 /
- 延迟值异常 /
- 野值检测
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.
- China region /
- satellite-based augmentation system (SBAS) /
- ionosphere /
- abnormal delay value /
- outlier detection

HTML全文

图 1 电离层垂直延迟值结果对比

Figure 1. Comparison of ionospheric vertical delay values

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图 2 2016年3月26日电离层垂直延迟时间梯度概率分布

Figure 2. Ionosphere vertical delay time gradient probability distribution on March 26, 2016

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图 3 野值检测流程图

Figure 3. Flowchart of outlier detection

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图 4 2016年3月26日HLAR站电离层垂直延迟时间梯度

Figure 4. Ionospheric vertical delay time gradient at HLAR station on March 26, 2016

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图 5 2016年3月26日QHTR站电离层垂直延迟时间梯度

Figure 5. Ionospheric vertical delay time gradient at QHTR station on March 26, 2016

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图 6 2016年3月26日QION站电离层垂直延迟时间梯度

Figure 6. Ionospheric vertical delay time gradient at QION station on March 26, 2016

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图 7 2015年3月17日HAQS站电离层垂直延迟时间梯度

Figure 7. Ionospheric vertical delay time gradient at HAQS station on March 17, 2015

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图 8 2016年3月26日YNMZ站1~1.25 h单双频定位误差结果

Figure 8. Results of single- and dual-frequency positioning error between 1 h and 1.25 h at YNMZ station on March 26, 2016

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图 9 2016年3月26日YNMZ站14~14.25 h单双频定位误差结果

Figure 9. Results of single- and dual-frequency positioning error between 14 h and 14.25 h at YNMZ station on March 26, 2016

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图 10 2016年3月26日QHTR站1~1.25 h单双频定位误差结果

Figure 10. Results of single- and dual-frequency positioning error between 1 h and 1.25 h at QHTR station on March 26, 2016

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图 11 剔除次数较多的参考站

Figure 11. Reference stations with more elimination times

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表 1 野值剔除结果

Table 1. Outlier elimination results

日期	剔除站数
2016-01-08	8
2016-01-17	5
2016-02-22	3
2016-02-28	5
2016-03-06	9
2016-03-13	9
2016-03-26	9
2016-04-09	5
2016-06-18	10
2016-10-13	10
2016-12-16	6
2016-12-25	3

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施引文献

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