Autonomous and Precise Navigation of the Proba-2 Spacecraft

Montenbruck, Oliver; Markgraf, Markus; Santandrea, Stefano; Naudet, Joris; Gantois, Kristof; Vuilleumier, Pierrik

doi:10.2514/6.2008-7086

Cited by 19 publications

(15 citation statements)

References 13 publications

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“…Bearing in mind the accuracy requirements of the current study (see Section 1.3.3) and the fact that our navigation solution will be updated by measurements over the orbit (especially at perigee), these secondary perturbations will not be considered for further analysis. This conclusion agrees with that of a similar analysis performed by Montenbruck et al [35] for a satellite in LEO.…”

Section: Secondary Perturbationssupporting

confidence: 93%

“…For this study, a conservative update interval of 30 s was selected to ensure the robustness of the navigation solution. Such an interval was found to be sufficient for LEO by Montenbruck et al [35] in their analysis for filter-based navigation of PROBA-2.…”

Section: Measurement Frequencymentioning

confidence: 95%

“…In addition to its computational simplicity, this density model carries an additional benefit: it is not dependent on solar activity, removing the need for knowledge of the time-dependent solar radio flux and geomagnetic activity. As noted by Montenbruck et al [35], this real-time data is rarely available to an onboard navigation scheme.…”

Section: Atmospheric Dragmentioning

confidence: 99%

“…Throughout this chapter, we have implicitly assumed that the Kalman filter and its nonlinear derivatives are suitable for our current application. This assumption has basis in the literature; as Montenbruck [35] notes, Kalman filtering of GPS position fixes is a flight proven technology. In 1982, Landsat-4 became the first spacecraft to feature an onboard GPS receiver [84].…”

Section: Kalman Flight Heritagementioning

confidence: 99%

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Nonlinear Filtering for Autonomous Navigation of Spacecraft in Highly Elliptical Orbit

Vigneron¹

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To fill a gap in satellite services for the Canadian Arctic, the Canadian Space Agency has proposed a Polar Communication and Weather (PCW) mission to be flown in a highly elliptical Molniya orbit. In an era of increasingly capable space hardware, autonomous satellite navigation has become a standard means by which satellites in low Earth orbit can increase their independence and functionality. This study examined the accuracy to which autonomous navigation might be realized in a Molniya orbit.Using appropriate physical force models and simulated pseudorange signals from the Global Positioning System (GPS), a navigation algorithm based on the Extended Kalman Filter was demonstrated to achieve a three-dimensional root-mean-square accuracy of 58.9 m over a 500 km ¢ 40 000 km Molniya orbit. This accuracy satisfied the requirements of the PCW mission and demonstrated the utility of GPS signal reception at high altitudes. Algorithms based on the Unscented Kalman Filter and the Cubature Kalman Filter were not found to improve this result; this was due to a high frequency of measurements during periods of highly nonlinear dynamics.During this study, detailed models were developed for GPS pseudorange errors, including ephemeris errors, transmitter clock errors, and ionospheric delay. Receiver clock bias error was shown to be a significant source of navigation solution error; for reasons of geometry, the navigation algorithm is not able to differentiate between this error and a radial position error. GPS sidelobe signals were shown to be an effective means to acquire additional GPS signals over the highly elliptical orbit. Finally, an exploratory study found ground-based radio beacons to be a useful navigation aid for this orbital regime.

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Section: Secondary Perturbationssupporting

confidence: 93%

Section: Measurement Frequencymentioning

confidence: 95%

Section: Atmospheric Dragmentioning

confidence: 99%

Section: Kalman Flight Heritagementioning

confidence: 99%

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Nonlinear Filtering for Autonomous Navigation of Spacecraft in Highly Elliptical Orbit

Vigneron¹

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“…Promising results have been achieved by NASA DS-1, 22 NASA EO-1 with the re-planning system CASPER 17 or the more recent ESA demonstrator mission Proba-2. 21 However, this paradigm alone is not suitable for the new trend of distributed missions as the single spacecraft are not able to deal with the whole system. The coordination aspect of a multiple platform introduces a new level of complexity in the mission planning.…”

Section: Introductionmentioning

confidence: 99%

Highly Responsive MPS for Dynamic EO Scenarios

Iacopino¹

2012

SpaceOps 2012 Conference

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Distributed missions have become of great interest in the last decade as they offer a number of potential benefits for Earth Observation, especially global monitoring and disaster management. the first examples of this increasing demand are the Global Monitoring for Environment and Security -GMES or the Disaster Monitoring constellation. The increasing trend in the use of multiple platforms is opening new challenges in terms of coordination and high responsiveness principally in critical scenarios. In particular, a new concept of mission planning has been identified in order to operate such constellations of spacecraft and provide a greater level of responsiveness.In this paper, we describe an innovative ground-based automated planning & scheduling system for multiple platforms, specifically for the Disaster Monitoring Constellation. First, we show how the system can be applied to a single platform case study designed for a highly dynamic environment. The system will be required to respond appropriately to different priority levels and the needs of different user groups. Finally an outline will be given regarding the systems extension to the whole Disaster Monitoring constellation in order to show the coordination benefits of our solution.The novelty of this project is applying a natural-inspired paradigm, such as stigmergy, to coordinate a platform and compute the solution. More specifically, a novel algorithm designed for dynamic planning is applied. It offers a high-level of adaptability and responsiveness allowing the system to find near-optimum solutions on a global level thanks to the collaboration of all the agents interacting and modifying the environment. This approach is based on ant colony algorithms and aims at extending mission planning applications to face real constellation scenarios.

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Precise real‐time navigation of LEO satellites using GNSS broadcast ephemerides

Hauschild

Montenbruck

2021

Navigation

Self Cite

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The availability of orbit information with high precision and low latency is a key requirement for many Earth‐observation missions, predominantly in the field of radio occultation. Traditionally, precise orbit determination solutions of low‐Earth orbit (LEO) satellites are obtained offline on ground after downloading GNSS measurements and auxiliary spacecraft data to the processing center. The latency of this processing depends on the frequency of LEO downlink contacts and the availability of precise GNSS orbit and clock products required for the orbit determination process. These dependencies can be removed by computing the precise orbit determination solution on board the satellite using GNSS broadcast ephemerides. In this study, both real data and simulated measurements from a representative LEO satellite are processed in a flight‐proven Kalman‐filter algorithm. The paper studies the use of GPS, Galileo and BeiDou‐3 for real‐time orbit determination in different combinations with simulated measurements. Results show that use of dual‐frequency observations and broadcast ephemerides of Galileo and BeiDou‐3 leads to a significant reduction of 3D rms orbit errors compared to GPS‐only processing. An onboard navigation accuracy of about one decimeter can be achieved without external augmentation data, which opens up new prospects for conducting relevant parts of the science data processing in future space missions directly on board a LEO satellite.

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Autonomous and Precise Navigation of the Proba-2 Spacecraft

Cited by 19 publications

References 13 publications

Nonlinear Filtering for Autonomous Navigation of Spacecraft in Highly Elliptical Orbit

Nonlinear Filtering for Autonomous Navigation of Spacecraft in Highly Elliptical Orbit

Highly Responsive MPS for Dynamic EO Scenarios

Precise real‐time navigation of LEO satellites using GNSS broadcast ephemerides

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