Comparing Detection Techniques of Coseismic Disturbances by using Differential Ionospheric Delay of GNSS Signal

Bugyeom Kim, Seonho Kang, Deokhwa Han, Changdon Kee, Junesol Song

Peer Reviewed

Abstract:	When an earthquake occurrs energies transfer through atmosphere by wave form. If the magnitude of earthquake is large enough, the wave can reach ionosphere and induce ionospheric disturbances. These disturbances can be detected by analyzing Global Navigation Satellite System (GNSS) satellite signal. Among disturbances detection techniques, using differential ionospheric delay of GNSS satellite signal was suggested. Disturbances can be detected by the simple time difference technique. However, there are two techniques suggested to improve a performance of disturbance detection. One is Time step derivative (TSD). The other is Minimum Noise Derivative (MND). In this paper we compared the performance of these three techniques which use differential ionospehric delay of GNSS signal to detect ionospheric disturbances. First, we generated simulation data with 4 different frequencies of the disturbance and analyzed the performance of each technique. The result is that the performance is improved when using TSD and MND compared to simple time difference. Especially, the Signal to Noise Ratio (SNR) of disturbance which applied MND is about 30 times larger than simple time difference and about 6 times larger than TSD. After that, we verified that disturbances can be detected by applying each technique to actual data of earthquake which is occurred in Japan 2015. Consequently, disturbances cannot be detected by using simple time difference, but the disturbances were detected by using TSD and MND.
Published in:	Proceedings of the ION 2019 Pacific PNT Meeting April 8 - 11, 2019 Hilton Waikiki Beach Honolulu, Hawaii
Pages:	439 - 450
Cite this article:	Kim, Bugyeom, Kang, Seonho, Han, Deokhwa, Kee, Changdon, Song, Junesol, "Comparing Detection Techniques of Coseismic Disturbances by using Differential Ionospheric Delay of GNSS Signal," Proceedings of the ION 2019 Pacific PNT Meeting, Honolulu, Hawaii, April 2019, pp. 439-450. https://doi.org/10.33012/2019.16855
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