Current Science

Open Access Open Access  Restricted Access Subscription Access

The GIVE Ionospheric Delay Correction Approach to Improve Positional Accuracy of NavIC/IRNSS Single-Frequency Receiver


Affiliations
1 Department of Electronics Engineering, Sardar Vallabhbhai National Institute of Technology, Surat 395 007, India
 

The Navigation with Indian Constellation (NavIC)/Indian Regional Navigation Satellite System (IRNSS) is an independent navigation system developed for the Indian subcontinent by the Indian Space Research Organisation (ISRO). The positional accuracy of this system is mainly affected by the ionosphere of the low-latitude equatorial Indian subcontinent, as large ionospheric gradients and intense irregularities are present in it. The objective of this study is to improve the positional accuracy of NavIC/IRNSS systems by applying ionospheric correction using the most suitable single-frequency model. The data to be analysed were collected from the NavIC/IRNSS receiver provided by the Space Applications Centre, ISRO. A comparative analysis between the dual-frequency model and single-frequency model (e.g. GIVE model, coefficient-based model) was performed on the data from the NavIC/IRNSS receiver. Different ionospheric models were applied to compute ionospheric delay (ionodelay) on a quiet day (3 < KP < 5). Our result shows that both the single-frequency Grid Ionosphere Vertical Error (GIVE) model and dual frequency model outperform remarkably compared to the traditional coefficient-based model. The GIVE model was also analysed on FAR categorized satellites for different stormy days of different months. It was observed that during stormy days also, the 3D position computed by applying the GIVE model was nearly the same as the dual-frequency model.

Keywords

Ionosphere, Navigation Systems Tropospheric Delay, Positional Accuracy.
User
Notifications
Font Size

  • Thoelert, S., Montenbruck, O. and Meurer, M., IRNSS-1A: signal and clock characterization of the Indian regional navigation system. GPS Sol., 2014, 18(1), 147–152.

  • IRNSS signal in space ICD 2011, ISRO-ISAC V 1.1; http://www.isro.gov.in/irnss-programme/ (accessed on 7 March 2017).

  • Desai, M. V., Jagiwala, D. and Shah, S. N., Impact of dilution of precision for position computation in Indian Regional Navigation Satellite System. In Proceedings of the IEEE International Conference on Advances in Computing, Communications and Informatics, Jaipur, 2016, pp. 980–986.

  • Ruparelia, S., Lineswala, P., Jagiwala, D., Desai, M. V., Shah, S. N. and Dalal, U. D., Study of L5 band interferences on IRNSS. In Proceedings of the International Conference on Global Navigation Satellite System (GPS-aided GEO augmented navigation-IRNSS), User Meet, Bengaluru, 2015.

  • http://www.isro.gov.in/Applications/Satellite Navigation Program/ (accessed on 7 September 2017).

  • Desai, M. V. and Shah, S. N., Ionodelay models for satellite based navigation system. Afr. J. Comput. ICT, 2015, 8(2), 1–6.

  • Rethika, T., Nirmala, S., Rathnakara, S. C. and Ganeshan, A. S., Ionospheric delay estimation during ionospheric depletion events for single frequency users of IRNSS. Innov. Syst. Design Eng., 2015, 6(2), 98–107.

  • Rethika, T., Mishra, S., Nirmala, S., Rathnakara, S. C. and Ganeshan, A. S., Single frequency ionospheric error correction using coefficients generated from regional ionospheric data for IRNSS. Indian J. Radio Space Phys., 2013, 42, 125–130.

  • Klobuchar, J. A., Ionospheric time-delay algorithm for single-frequency GPS users. IEEE Trans. Aerospace Electron. Syst., 1987, 3, 325–331.

  • Andrei, C. O., Chen, R., Kuusniemi, H., Hernandez-Pajares, M., Juan, J. M. and Salazar, D., Ionosphere effect mitigation for single frequency precise point positioning. In Institute of Navigation, Global Navigation Satellite System, 2009, pp. 2508–2517.

  • Prasad, N. and Sarma, A. D., Preliminary analysis of grid ionospheric vertical error for GAGAN. GPS Sol., 2007, 11(4), 281–288.

  • Acharya, R., Nagori, N., Jain, N., Sunda, S., Regar, S., Sivaraman, M. R. and Bandopadhyay, Ionospheric studies for the implementation of GAGAN. Indian J. Radio Space Phys., 2007, 36, 394–404.

  • Ratnam, D. V. and Sarma, A. D., Modeling of Indian ionosphere using MMSE estimator for GAGAN applications. J. Indian Geophys. Union, 2006, 10(4), 303–312.

  • Sarma, A. D., Venkata Ratnam, D. and Krishna Reddy, D., Modelling of low-latitude ionosphere using modified planar fit method for GAGAN. IET J. Radar, Sonar Navigat., 2009, 3(6), 609–619.

  • Venkata Ratnam, D., Sarma, A. D., Satya Srinivas, V. and Sreelatha, P., Performance evaluation of selected ionospheric delay models during geomagnetic storm conditions in low latitude region. Radio Sci., 2011, 46(3), 1–7.

  • Venkata Ratnam, D. and Sarma, A. D., Modeling of low-latitude ionosphere using GPS data with SHF model. IEEE Trans. Geosci. Remote Sensing, 2012, 50(3), 972–980.

  • Shukla, A. K., Das, S., Shukla, A. P. and Palsule, V. S., Approach for near-real-time prediction of ionospheric delay using Klobuchar-like coefficients for Indian region. IET J. Radar, Sonar Navigat., 2013, 7(1), 67–74.

  • Kumar, P. N., Sarma, A. D. and Reddy, A. S., Modelling of ionospheric time delay of global positioning system (GPS) signals using Taylor series expansion for GPS-aided geo augmented navigation applications. IET J. Radar, Sonar Navigat., 2014, 8(9), 1081–1090.

  • Kowsik, J., Bhanu Kumar, T., Mounika, G., Venkata Ratnam, D. and Raghunath, S., Detection of ionospheric anomalies based on FFT averaging ratio (FAR) algorithm. In Proceedings of the International Conference in Innovations in Information, Embedded and Communication Systems, 2015, pp. 1–3.

  • Raghunath, S. and Venkata Ratnam, D., Detection of low-latitude ionospheric irregularities from GNSS observations. IEEE J. Appl. Earth Obser. Remote Sensing, 2015, 8(11), 5171–5176.

  • Panda, S. K., Gedam, S. S. and Jin, S., Ionospheric TEC Variations at low latitude Indian region. INTECH Open science, 2015, pp. 149–174.

  • http://www.swpc.noaa.gov/phenomena/coronal-mass-ejections// (accessed on 7 March 2017).

  • Saastamoinen, J. J., Simplified model for calculation of devolatilization in fluidized beds. Fuel, 2006, 85(17), 2388–2395.

  • Hopfield, H. S., Topospheric effect on electromagnetically measured range. Prediction from surface weather data. Radio Sci., 1971, 6(3), 357–367.

  • He, Y. and Bilgic, A., Iterative least squares method for global positioning system. Adv. Radio Sci., 2011, 9, 203–208.


Abstract Views: 441

PDF Views: 158




  • The GIVE Ionospheric Delay Correction Approach to Improve Positional Accuracy of NavIC/IRNSS Single-Frequency Receiver

Abstract Views: 441  |  PDF Views: 158

Authors

Mehul V. Desai
Department of Electronics Engineering, Sardar Vallabhbhai National Institute of Technology, Surat 395 007, India
Shweta N. Shah
Department of Electronics Engineering, Sardar Vallabhbhai National Institute of Technology, Surat 395 007, India

Abstract


The Navigation with Indian Constellation (NavIC)/Indian Regional Navigation Satellite System (IRNSS) is an independent navigation system developed for the Indian subcontinent by the Indian Space Research Organisation (ISRO). The positional accuracy of this system is mainly affected by the ionosphere of the low-latitude equatorial Indian subcontinent, as large ionospheric gradients and intense irregularities are present in it. The objective of this study is to improve the positional accuracy of NavIC/IRNSS systems by applying ionospheric correction using the most suitable single-frequency model. The data to be analysed were collected from the NavIC/IRNSS receiver provided by the Space Applications Centre, ISRO. A comparative analysis between the dual-frequency model and single-frequency model (e.g. GIVE model, coefficient-based model) was performed on the data from the NavIC/IRNSS receiver. Different ionospheric models were applied to compute ionospheric delay (ionodelay) on a quiet day (3 < KP < 5). Our result shows that both the single-frequency Grid Ionosphere Vertical Error (GIVE) model and dual frequency model outperform remarkably compared to the traditional coefficient-based model. The GIVE model was also analysed on FAR categorized satellites for different stormy days of different months. It was observed that during stormy days also, the 3D position computed by applying the GIVE model was nearly the same as the dual-frequency model.

Keywords


Ionosphere, Navigation Systems Tropospheric Delay, Positional Accuracy.

References





DOI: https://doi.org/10.18520/cs%2Fv114%2Fi08%2F1665-1676