IRNSS Orbit and Clock Bias Estimation using NavIC Ground Receiver Data: Extended Kalman Filter
Varsha H. S.1, Shreyanka B. Chougule2, N. V. Vighnesam3, Sudha K. L.4

1Varsha H. S.*, Dayananda Sagar College of Engineering, Bengaluru, (Karnataka) India.
2Shreyanka B. Chougule, Dayananda Sagar College of Engineering, Bengaluru, (Karnataka) India.
3Dr. N. V. Vighnesam, Dayananda Sagar College of Engineering, Bengaluru, (Karnataka) India.
4Dr. Sudha K. L., Dayananda Sagar College of Engineering, Bengaluru, (Karnataka) India.
Manuscript received on November 26, 2019. | Revised Manuscript received on December 15, 2019. | Manuscript published on December 30, 2019. | PP: 713-717 | Volume-9 Issue-2, December, 2019. | Retrieval Number:  B3670129219/2020©BEIESP | DOI: 10.35940/ijeat.B3670.129219
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Abstract: The aim of this work is to precisely estimate the IRNSS satellite’s orbit and clock errors using NavIC receiver data. Orbit determination is required to precisely calculate the user/receiver position on the Earth. In this study, Bengaluru, Surat, Kolkata, and Hyderabad’s NavIC ground receivers’ data is considered for orbit estimation. The pseudo-range measurements received by the ground receivers have multiple errors added due to ionospheric delay, tropospheric delay, multipath delays, satellite clock errors, and some unmodeled effects. But, the major factor accounting for errors is the satellite clock error. Hence, along with position and velocity of the satellite, even the clock correction is estimated using Extended Kalman Filter (EKF). EKF is a sequential estimation algorithm which estimates satellite position, velocity and clock error at each time instant. In this paper, results of all seven IRNSS satellite’s orbit determination are discussed.
Keywords: Clock bias, Estimation algorithms, Extended Kalman Filter, IRNSS, NavIC receiver, Orbit Determination, Satellite Position Estimation.