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Atmospheric anomalies detection using GNSS measurements corruption

Authors
Yoo, Y.Cho, D.-J.Shin, M.-Y.Park, S.-H.
Issue Date
2012
Publisher
State Research Center of the Russian Federation
Keywords
Anomalous satellite detection; Atmospheric anomaly; Ionospheric delay anomaly; Tropospheric delay anomaly
Citation
19th Saint Petersburg International Conference on Integrated Navigation Systems, ICINS 2012 - Proceedings, pp 324 - 334
Pages
11
Journal Title
19th Saint Petersburg International Conference on Integrated Navigation Systems, ICINS 2012 - Proceedings
Start Page
324
End Page
334
URI
https://www.kriso.re.kr/sciwatch/handle/2021.sw.kriso/8851
ISSN
0000-0000
Abstract
GNSS service is not always reliable to users as the signal is sometimes vulnerable according to certain atmospheric anomaly such as an ionosphere storm or severe weather conditions. This paper proposed an atmospheric anomaly concept in multi-reference stations environment. It has also proposed a detection algorithm of anomalous satellite affected by the atmospheric anomaly. Four stations' live data were gathered and simulated atmospheric anomaly conditions were applied on certain reference station's data as the atmospheric anomaly does not occur frequently in real world. The proposed detection algorithm was successfully implemented to find out the anomalous satellites that applied some atmospheric anomaly conditions on certain reference station. Results showed that the algorithm is more likely to define an anomalous satellite which has a low elevation angle compared to other satellites. This is due to the characteristics of the mapping function that was used in the detection algorithm.
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