Abstract
AbstractDue to an increasing requirement for high accuracy orbital information for low Earth orbit (LEO) satellites, precise orbit determination (POD) of LEO satellites is a topic of growing interest. To assure the safety and reliability of the applications requiring high accuracy LEO orbits in near-real-time, integrity monitoring (IM) is an essential operation of the POD process. In this contribution, the IM strategy for LEO POD in both the kinematic and reduced-dynamic modes is investigated. The overbounding parameters of the signal-in-space range error are investigated for the GPS products provided by the International GNSS Service’s Real-Time Service and the Multi-GNSS Advanced Demonstration of Orbit and Clock Analysis service. Benefiting from the dynamic models used and the improved model strength, the test results based on the data of the LEO satellite GRACE FO-1 show that the average-case mean protection levels (PLs) can be reduced from about 3–4 m in the kinematic mode to about 1 m in the reduced-dynamic mode in the radial, along-track and cross-track directions. The overbounding mean values of the SISRE play the dominant role in the final PLs. In the reduced-dynamic mode and average-case projection, the IM availabilities reach above 99% in the radial, along-track and cross-track directions with the alert limit (AL) set to 2 m. The values are still above 98% with the AL set to 4 m, when the duty cycle of tracking is reduced to 40%, e.g., in the case of power limits for miniature satellites such as CubeSats.
Funder
Australian Rsearch Council
chinese academy of sciences
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences
Reference32 articles.
1. Allahvirdi-Zadeh A, Wang K, El-Mowafy A (2021) POD of small LEO satellites based on precise real-time MADOCA and SBAS-aided PPP corrections. GPS Solut 25:31. https://doi.org/10.1007/s10291-020-01078-8
2. Blanch J, Walter T, Enge P, Lee Y, Pervan B, Rippl M, Spletter A (2012) Advanced RAIM user algorithm description: Integrity support message processing, fault detection, exclusion, and protection level calculation. In: Proceedings of ION GNSS, Institute of Navigation, Nashville, TN, September 2012, pp 2828–2849
3. Blanch J, Walter T, Enge P (2018) Gaussian bounds of sample distributions for integrity analysis. IEEE Trans Aerosp Electron Syst 55(4):1806–1815. https://doi.org/10.1109/TAES.2018.2876583
4. Cheng C, Zhao Y, Li L, Cheng J, Sun X (2018) Preliminary analysis of URA characterization for GPS real-time precise orbit and clock products. In: Proceedings of the 2018 IEEE/ION position, location and navigation symposium (PLANS), Monterey, CA, USA, 23–26 April 2018. https://doi.org/10.1109/PLANS.2018.8373434
5. Dach R, Lutz S, Walser P, Fridez P (2015) Bernese GNSS software version 5.2. University of Bern, Bern Open Publishing, Bern, Switzerland. https://doi.org/10.7892/boris.72297
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