Real-time precise orbit determination of LEO satellites using a single-frequency GPS receiver: Preliminary results of Chinese SJ-9A satellite. Issue 7 (1st October 2017)

• Record Type: Journal Article
• Authors: Sun, Xiucong; Han, Chao; Chen, Pei
• Is Part Of: Advances in space research. Volume 60:Issue 7(2017)
• Page Start: 1478
• Page End: 1487
• Publication Date: 2017-10-01
• Subjects: LEO -- Precise orbit determination -- Real-time -- Single-frequency GPS receiver -- Schmidt-Kalman filter -- SJ-9A; Space sciences -- Periodicals; Astronautics -- Periodicals; Geophysics -- Periodicals; 500.505
• DOI: 10.1016/j.asr.2017.06.052
• Languages: English
• ISSNs: 0273-1177

Abstract

Highlights: Precise real-time LEO orbit determination using single-frequency GPS is proposed. A first-order Gauss-Markov process is used to model higher-order measurement errors. A Schmidt-Kalman filter is developed for real-time orbit determination. The Schmidt-Kalman filter achieves better accuracy than a standard Kalman filter. Abstract: Spaceborne Global Positioning System (GPS) receivers are widely used for orbit determination of low-Earth-orbiting (LEO) satellites. With the improvement of measurement accuracy, single-frequency receivers are recently considered for low-cost small satellite missions. In this paper, a Schmidt-Kalman filter which processes single-frequency GPS measurements and broadcast ephemerides is proposed for real-time precise orbit determination of LEO satellites. The C/A code and L1 phase are linearly combined to eliminate the first-order ionospheric effects. Systematic errors due to ionospheric delay residual, group delay variation, phase center variation, and broadcast ephemeris errors, are lumped together into a noise term, which is modeled as a first-order Gauss-Markov process. In order to reduce computational complexity, the colored noise is considered rather than estimated in the orbit determination process. This ensures that the covariance matrix accurately represents the distribution of estimation errors without increasing the dimension of the state vector. The orbit determination algorithm is tested with actual flight data from the single-frequency GPS receiver onboard China's small satellite Shi Jian-9A (SJ-9A). Preliminary results using a 7-h data arc on October 25, 2012 show that the Schmidt-Kalman filter performs better than the standard Kalman filter in terms of accuracy.