Abstract
The aim of this paper is to precisely estimate the satellite orbit and clock errors using Indian NavIC receiver’s data. The process of precise orbit estimation includes trajectory generation using initial state parameters system by numerical integration, measurement modeling and finally estimation of the satellite position and clock error. Extended Kalman filter (EKF) technique used to estimate the satellite position, velocity and clock error using pseudo-range measurements from a network of four ground station positions is explained in this paper. The state parameters and the clock bias are estimated with actual and well-disturbed initial conditions. It is observed from the results obtained that estimated satellite position and clock bias errors are about 11 cm and 0.01 ns, respectively, even with well-disturbed initial state parameters. Having precise orbit positions of all IRNSS satellites, the end-user position can be determined precisely.
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Acknowledgements
The work undertaken in this paper is supported by SAC/ISRO under NavIC GAGAN utilization program (Project ID: NGP 27), at Space Application Centre, Ahmedabad. Authors wish to acknowledge the support given by SAC/ISRO and wish to express their gratitude to the focal person of this project, Dr. Ashish Shukla, Scientist/Engineer-SF, Satellite Navigation Technology Division, Space Applications Centre, ISRO, Ahmedabad. Also, the authors would like to thank Dr. Radha Gupta, Professor & HOD, Department of Mathematics, Dayananda Sagar College of Engineering for her constant support and the Principal, Dayananda Sagar College of Engineering, Bengaluru.
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Varsha, H.S., Chougule, S.B., Vighnesam, N.V., Sudha, K.L. (2020). Precise Orbit and Clock Estimation of Navigational Satellite Using Extended Kalman Filter Applicable to IRNSS NavIC Receiver Data. In: Bhalla, S., Kwan, P., Bedekar, M., Phalnikar, R., Sirsikar, S. (eds) Proceeding of International Conference on Computational Science and Applications. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-15-0790-8_18
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DOI: https://doi.org/10.1007/978-981-15-0790-8_18
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