[논문]Combined GPS/GLONASS Relative Receiver DCB Estimation Using the LSQ Method and Ionospheric TEC Changes over South Korea

Choi, Byung-Kyu; Yoon, Ha Su; Lee, Sang Jeong

doi:10.11003/jpnt.2018.7.3.175

Combined GPS/GLONASS Relative Receiver DCB Estimation Using the LSQ Method and Ionospheric TEC Changes over South Korea 원문보기

Journal of Positioning, Navigation, and Timing, v.7 no.3, 2018년, pp.175 - 181

Choi, Byung-Kyu (Space Geodesy Group, Korea Astronomy and Space Science Institute) , Yoon, Ha Su (Space Geodesy Group, Korea Astronomy and Space Science Institute) , Lee, Sang Jeong (Department of Electronics Engineering, Chungnam National University)

Abstract ▼ AI-Helper

The use of dual-frequency measurements from the Global Navigation Satellite System (GNSS) enables us to observe precise ionospheric total electron content (TEC). Currently, many GNSS reference stations in South Korea provide both GPS and GLONASS data. In the present study, we estimated the grid-based TEC values and relative receiver differential code biases (DCB) from a GNSS network operated by the Korea Astronomy and Space Science Institute. In addition, we compared the diurnal variations in a TEC time series from solutions of the GPS only, the GLONASS only, and combined GPS/GLONASS processing. A significant difference between the GPS only TEC and combined GPS/GLONASS TEC at a specific grid point over South Korea appeared near the solar terminator. It is noted that GLONASS measurements can contribute to observing a variation in ionospheric TEC over high latitude regions.

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제안 방법

This study employed the data received in every 30 sec from nine GNSS reference stations operated by the Korea Astronomy and Space Science Institute to calculate GPS/GLONASS TEC over the Korean Peninsula. In addition, the GNSS receiver DCBs that are the largest error source in the ionospheric TEC calculation are calculated relatively by applying the least square (LSQ) method, and the characteristics of GPS and GLONASS receiver DCBs are analyzed respectively. Furthermore, the TEC values over the Korean Peninsula calculated with other data processing methods are compared and analyzed.
In this study, an algorithm was developed to determine the DCBs of GPS and GLONASS receivers simultaneously as presented in Eq. (4).
In this study, we set the elevation angle of the GNSS satellite to 20° to reduce the effect of a multi-path error.
The GPS and GLONASS IPP trajectory was analyzed to determine the effect of the GLONASS TEC over the Korean Peninsula. When the GPS signals are not observed in a short period of time, the GLONASS measurements can play a role in almost TEC estimation system.
The GPS and GLONASS observation data were employed simultaneously to monitor the change in the ionospheric TEC precisely over the Korean Peninsula. Fig.
The GLONASS satellites have also larger orbit inclination than that of the GPS satellite as shown in the daily IPP analysis results. Therefore, IPP distribution in the GLONASS is located farther to the north direction in the Korean Peninsula than that of the GPS, thereby analyzing the changes in the ionospheric TEC in the northern region of the Korean Peninsula more accurately.
This study calculated the ionospheric TEC by dividing the data utilization method into GPS only, GLONASS (‘GLO’) only, and the GPS+GLO combination, and then recalculated the grid-based ionospheric TEC as shown in Fig. 5 utilizing the inverse distance weighted interpolation technique.
The utilization of GLONASS along with GPS has increased steadily to analyze the TEC in the ionosphere. This study employed the data received in every 30 sec from nine GNSS reference stations operated by the Korea Astronomy and Space Science Institute to calculate GPS/GLONASS TEC over the Korean Peninsula. In addition, the GNSS receiver DCBs that are the largest error source in the ionospheric TEC calculation are calculated relatively by applying the least square (LSQ) method, and the characteristics of GPS and GLONASS receiver DCBs are analyzed respectively.
The DCB of the GNSS satellites is somewhat smaller than that of the receiver but it also has the value up to several ns. Thus, DCBs that are created by the GNSS satellites and receivers must be calculated and removed from the observed value to calculate the ionospheric TEC precisely.

대상 데이터

The GPS satellites broadcast two carrier frequencies in the L-band (L1 = 1575.42 MHz and L2 = 1227.60 MHz) to the ground. The reception of dual frequency of the GLONASS satellites at the ground can determine the positioning of users as well as calculate the ionospheric TEC value accurately in contrast with GPS signals.
This study analyzed the changes in the ionospheric TEC utilizing the data of GPS and GLONASS received on Nov. 1 in 2017 from the GNSS reference stations operated by the Korea Astronomy and Space Science Institute. The receiver DCB, which acted as the largest error in calculating the ionospheric TEC accurately, was determined relatively.

이론/모형

5. Grid TEC maps over South Korea derived from inverse distance weighted interpolation method.
2002). This study employed a method proposed by Sardon et al. (1994).

참고문헌 (25)

Afraimovich, E. L., Astafyeva, E. I., Demyanov, V. V.,Edemskiy, I. K., Gavrilyuk, N. S., et al. 2013, A review of GPS/GLONASS studies of the ionospheric response to natural and anthropogenic processes and phenomena, J. Space Weather Space Clim, 3, A27. https://doi.org/10.1051/swsc/2013049

상세보기
Afraimovich, E. L., Kosogorov, E. A., Lesyuta, O. S., Ushakov, I. I., & Yakovets, A. F. 2001, Geomagnetic control of the spectrum of traveling ionospheric disturbances based on data from a global GPS network, Ann. Geophys., 19, 723-731

상세보기
Calais, E. & Minster, J. B. 1998, GPS, earthquakes, the ionosphere, and the space shuttle, Phys. Earth Planet Inter, 105, 167-181. https://doi.org/10.1016/S0031-9201(97)00089-7

상세보기
Camargo, P. O. 2009, Quality of TEC Estimated with Mod Ion Using GPS and GLONASS Data, Mathematical Problems in Engineering, Article ID 794578, 1-16. https://doi.org/10.1155/2009/794578
Choi, B. K. & Lee, S. J. 2018, Te infuence of grounding on GPS receiver diferential code biases, ASR, 62, 457-463. https://doi.org/10.1016/j.asr.2018.04.033

상세보기
Coco, D. S., Gaussiran, T. L., & Coker, C. 1995, Passive detection of sporadic E using GPS phase measurements, Radio Sci., 30, 1869-1874. https://doi.org/10.1029/95RS02453

상세보기
Coster, A., Williams, J., Weatherwax, A., Rideout, W., & Herne, D. 2013, Accuracy of GPS total electron content: GPS receiver bias temperature dependence, Radio Sci., 48, 190-196. https://doi.org/10.1002/rds.20011

상세보기
Cot, C. & Teitelbaum, H. 1980, Generation of gravity waves by inhomogeneous heating of the atmosphere, J. Atmos. Terr. Phys., 42, 877-883. https://doi.org/10.1016/0021-9169(80)90092-6

상세보기
Davies, K. & Hartmann, G. K. 1997, Studying the ionosphere with the Global Positioning System, Radio Sci., 32, 1695-1703. https://doi.org/10.1029/97RS00451

상세보기
Grejner-Brzezinska, D. A., Wielgosz, P., Kashani, I., Smith, D. A., Spencer, P. S. J., et al. 2004, An analysis of the efects of different network-based ionosphere estimation models on rover positioning accuracy, Journal of GPS, 3, 115-131. https://doi.org/10.5081/jgps.3.1.115

상세보기
Hajj, G. A., Ibanez-Meier, R., Kursinski, E. R., & Romans, L. J. 1994, Imaging the ionosphere with the global positioning system, International Journal of Imaging Systems and Technology, 5, 174-187. https://doi.org/10.1002/ima.1850050214

상세보기
Ho, C. M., Mannucci, A. J., Lindqwister, U. J., Pi, X., & Tsurutani, B. T. 1996, Global ionospheric Perturbations monitored by the worldwide GPS network, Geophys. Res. Lett., 23, 3219-3222. https://doi.org/10.1029/96GL02763

상세보기
Hofmann-Wellenhof, B., Lichtenegger, H., & Collins, J. 1993, Global Positioning System: Theory and Practice, 2nd ed. (New York: Springer-Verlag)
Lanyi, G. E. & Roth, T. 1988, A comparison of mapped and measured total ionospheric electron content using global positioning system and beacon satellite observation, Radio Sci., 23, 483-492. https://doi.org/10.1029/RS023i004p00483

상세보기
Mannucci, A., Iijima, B., Sparks, L., Pi, X., Wilson, B., et al. 1999, Assessment of global TEC mapping using a three- dimensional electron density model, J Atmos. Sol. Terr. Phys., 61, 1227-1236. https://doi.org/10.1016/S1364-6826(99)00053-X

상세보기
Nakashima, Y. & Heki, K. 2014, Ionospheric hole made by the 2012 North Korean rocket observed with a dense GNSS array in Japan, Radio Sci., 49, 497-505. https://doi.org/10.1002/2014RS005413

상세보기
Otsuka, Y., Ogawa, T., Saito, A., Tsugawa, T., Fukao, S., et al. 2002, A new technique for mapping of total electron content using GPS network in Japan, Earth, Planets and Space, 54, 63-70. https://doi.org/10.1186/BF03352422

상세보기
Otsuka, Y., Suzuki, K., Nakagawa, S., Nishioka, M., Shiokawa, K., et al. 2013, GPS observations of medium-scale traveling ionospheric disturbances over Europe, Ann. Geophys., 31, 163-172. https://doi.org/10.5194/angeo-31-163-2013

상세보기
Sardon, E., Rius, A., & Zarraoa, N. 1994, Estimation of the transmitter and receiver differential biases and the ionospheric total electron content from Global Positioning System observations, Radio Sci., 29, 577-586. https://doi.org/10.1029/94RS00449

상세보기
Wanninger, L., Sardon, E., & Warnant, R. 1994, Determination of the total ionospheric electron content with GPS- Difficulties and their solution, Proceedings of Beacon Satellite Symposium '94, ed. L. Kersley (Aberystwyth: Univ. of Aberystwyth), pp.13-16. http://hdl.handle.net/2268/84763
Warnant, R. 1997, Reliability of the TEC computed using GPS measurements - Te problem of hardware biases, Acta Geod. Geophys. Hung., 32, 451-459
Wilson, B. D. & Mannucci, A. J. 1993, Instrumental biases in ionospheric measurements derived from GPS data, in ION GPS 1993 (Institute of Navigation), September 22- 24, 1993, Salt Palace Convention Center, Salt Lake City, UT, pp.1343-1351
Yasyukevich, Y. Y., Mylnikova, A. A., & Polyakova, A. S. 2015, Estimating the total electron content absolute value from the GPS/GLONASS data, Results in Physics, 5, 32-33. https://doi.org/10.1016/j.rinp.2014.12.006

상세보기
Zakharenkova, I, Astafyeva, E., & Cherniak, I. 2016, GPS and GLONASS observations of large-scale traveling ionospheric disturbances during the 2015 St. Patrick's Day storm, J. Geophys. Res. Space Physics, 121, 12138-12156. https://doi.org/10.1002/2016JA023332

상세보기
Zhang, W., Zhang, D. H., & Xiao, Z. 2009, The influence of geomagnetic storms on the estimation of GPS instrumental biases, Ann. Geophys., 27, 1613-1623. https://doi.org/10.5194/angeo-27-1613-2009

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