Refine your search
Collections
Co-Authors
Journals
Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Dalal, Upena
- Analysing Impact of Major Solar Flares on Ionospheric Total Electron Content using NavIC Signals
Abstract Views :266 |
PDF Views:79
Authors
Affiliations
1 Department of Electronics Engineering, Sardar Vallabhai National Institute of Technology, Surat 395 007, IN
2 Department of Applied Physics, Sardar Vallabhai National Institute of Technology, Surat 395 007, IN
1 Department of Electronics Engineering, Sardar Vallabhai National Institute of Technology, Surat 395 007, IN
2 Department of Applied Physics, Sardar Vallabhai National Institute of Technology, Surat 395 007, IN
Source
Current Science, Vol 118, No 3 (2020), Pagination: 392-400Abstract
A Navigation with Indian Constellation (NavIC) re-ceiver granted by Space Applications Centre, Ahmed-abad, has been set up at SVNIT, Surat. In the present article, an effort has been made to study ionosphere response with NavIC signals during three consecutive major ‘M’ class and ‘C’ class solar flare events which took place on 22, 23 and 24 July 2016. Empirical mode decomposition (EMD) and variable mode decomposition (VMD) have been used to de-compose total electron content (TEC). Pearson corre-lation coefficients are synthesized and processed for determining the effect of solar flares on TEC data during these events. VMD gives better results com-pared to EMD for determining TEC fluctuations dur-ing the occurrences of solar flare events. Automatic ionospheric scintillation model (RTISM) based on Hilbert–Huang transform is applied to determine au-tomatic threshold using Neyman Pearson detector, probability of detection and probability of false alarm using TEC.Keywords
Empirical Mode Decomposition, Ionosphe-Ric Scintillation, NavIC, Solar Flares, Total Electron Con-Tent, Variable Mode Decomposition.Full Text
References
- Yashaswini, A. R., Reddy, P. S. N. and Ramaiah, G. N. K., Gener-ation and implementation of IRNSS standard positioning signal. Eng. Sci. Technol., 2016, 19(3), 1381–1389.
- Vasudha, M. P. and Raju, G., Comparative evaluation of IRNSS performance with special reference to positional accuracy. Gyrosc. Navigation, 2017, 8(2), 136–149.
- Zou, Y. and Wang, D., A study of GPS ionospheric scintillations observed at Guilin. J. Atmos. Solar-Terrest. Phys., 2009, 71(17–18), 1948–1958.
- Norsuzila, Y., Abdullah, M., Ismail, M., Ibrahim, M. and Zakaria, Z., Total electron content (TEC) and estimation of positioning error using Malaysia data. Proceedings of the World Congress on Engineering Vol. I WCE 2010, London, UK, 30 June–2 July 2010.
- Warnant, R. and Pottiaux, E., The increase of the ionospheric activity as measured by GPS. Earth Planets Space, 2000, 52(11), 1055–1060.
- Arikan, F., Arikan, O. and Erol, C. B., Regularized estimation of TEC from GPS data for certain midlatitude stations and compari-son with the IRI model. Adv. Space Res., 2007, 39(5), 867–874.
- Kumar, S. and Singh, A. K., Effect of solar flares on ionospheric TEC at Varanasi, near EIA crest during solar minimum period. Indian J. Radio Space Phys., 2012, 41, 141–147.
- Huijun, L., Libo, L., Bin, C., Jiuhou, L., Xinan, Y. and Weix, W., Modeling the response of middle latitude ionosphere to solar flares. J. Atmos. Solar-Terrest. Phys., 2007, 69, 1587–1598.
- Weixing, W., Libo, L., Hong, Y., Baiqi, N. and Shunrong, Z., The GPS measured SITEC caused by the very intense solar flare on 14 July 2000. Adv. Space Res., 2005, 36, 2465–2469.
- Tsurutani, B. T., Verkhoglyadova, O. P., Mannucci, A. J., Lakhina, G. S., Li, G. and Zank, G. P., A brief review of solar flare effects on the ionosphere. Radio Sci., 2009, 44, 1–14.
- Hazarika, R., Kalita, B. R. and Bhuyan, P. K., Ionospheric response to X-class solar flares in the ascending half of the sub-dued solar cycle 24. J. Earth Syst. Sci., 2016, 125(6), 1235–1244.
- Liu, J. Y., Lin, C. H., Tsai, H. F. and Liou, Y. A., Ionospheric solar flare effects monitored by the ground-based GPS receivers: Theory and observation. J. Geophys. Res. USA, 2004, 109, A01307.
- Manju, G., Pant, T. K. and Devasia, C. V., Ravindran, S. and Sri-dharan, S., Electrodynamical response of the Indian low-mid lati-tude ionosphere to the very large solar flare of 28 October 2003 – a case study. Ann. Geophys. (Germany), 2009, 27, 3853–3860.
- Huang, N. E. and Zhaohua, Wu., A review on Hilbert–Huang transform method and its applications to geophysical studies. Rev. Geophys., 2008, 46(2), 1944–9208.
- Huang, N. E. et al., The empirical mode decomposition and the Hilbert spectrum for nonlinear and nonstationary time series anal-ysis. Proc. R. Soc. London, Ser. A, 1998, 454, 903–993.
- Huang, N. E., Wu, M. L., Long, S. R., Shen, S. S., Qu, W. D., Gloersen, P. and Fan, K. L., A confidence limit for the position empirical mode decomposition and Hilbert spectral analysis. Proc. R. Soc. London, Ser. A, 2003, 459, 2317–2345.
- Dragomiretskiy, K. and Zosso, D., Variational mode decomposi-tion. IEEE Trans. Signal Process., 2014, 62(3), 531–544.
- Yang, W., Peng, Z., Wei, K., Shi, P. and Tian, W., Superiorities of variational mode decomposition over empirical mode decomposi-tion particularly in time-frequency feature extraction and wind turbine condition monitoring. IET Renewable Power Generation, 2017, 11(4), 443–452.
- Lv, Z., Tang, B., Zhou, Y. and Zhou, C., A novel method for mechanical fault diagnosis based on variational mode decomposi-tion and multikernel support vector machine. Shock Vibr., 2016, art.Id. 3196465, 1–11.
- Lahmiri, S., Comparing variational and empirical mode decompo-sition in forecasting day-ahead energy prices. IEEE Syst. J., 2016, 99, 1–4.
- An, X. and Zeng, H., Pressure fluctuation signal analysis of a hydraulic turbine based on variational mode decomposition. J. Power Energy, 2015, 229(8), 978–991.
- Qin, Z., Chen, H. and Chang, J., Signal-to-noise ratio enhance-ment based on empirical mode decomposition in phase sensitive optical time domain reflectometry systems. Sensors, 2017, 1–10.
- Ayenu-Prah, A. and Attoh-Okine, N., A criterion for selecting rel-evant intrinsic mode functions in empirical mode decomposition. Adv. Adapt. Data Anal. Theory Appl., 2010, 2(1), 1–24.
- Ratnam, D. V., Sivavaraprasad, G. and Lee, J., Automatic iono-spheric scintillation detector for global navigation satellite system receivers. IET Radar, Sonar Navigation, 2015, 9(6), 702–711.
- Kolawole, M. O., Radar Systems, Peak Detection and Tracking, Elsevier, 2002.