Operational collision avoidance of small satellite missions

Stoll, Enrico; D’Souza, Brian; Virgili, Benjamin Bastida; Merz, Klaus; Krag, H.

doi:10.1109/aero.2013.6496955

Cited by 7 publications

(9 citation statements)

References 3 publications

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“…Some satellite mission operators can keep track of their satellites quite accurately using Global Positioning System data, but the trajectories of other orbiting objects are harder to accurately specify. Space Situational Awareness refers to the effort of gathering and updating the trajectories of natural and man‐made orbiting objects (Stoll et al, ). Two of the organizations that support the Space Situational Awareness process are the Joint Space Operations Center (JSpOC), part of the eighteenth Space Control Squadron, and the Space Data Association.…”

Section: Introductionmentioning

confidence: 99%

“…Two of the organizations that support the Space Situational Awareness process are the Joint Space Operations Center (JSpOC), part of the eighteenth Space Control Squadron, and the Space Data Association. The Space Data Association was established for satellite operators to share the most up‐to‐date satellite data (Stoll et al, ). JSpOC is currently the single full‐time global provider of object positions used in collision avoidance due to the accuracy and timeliness of the available information (Aida et al, ).…”

Section: Introductionmentioning

confidence: 99%

“…refers to the effort of gathering and updating the trajectories of natural and man-made orbiting objects (Stoll et al, 2013). Two of the organizations that support the Space Situational Awareness process are the Joint Space Operations Center (JSpOC), part of the eighteenth Space Control Squadron, and the Space Data Association.…”

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confidence: 99%

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Effects of Uncertainties in the Atmospheric Density on the Probability of Collision Between Space Objects

2018

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The rapid increase of the number of objects in orbit around the Earth poses a serious threat to operational spacecraft and astronauts. In order to effectively avoid collisions, mission operators need to assess the risk of collision between the satellite and any other object whose orbit is likely to approach its trajectory. Several algorithms predict the probability of collision but have limitations that impair the accuracy of the prediction. An important limitation is that uncertainties in the atmospheric density are usually not taken into account in the propagation of the covariance matrix from current epoch to closest approach time. The atmosphere between 100 km and 700 km is strongly driven by solar and magnetospheric activity. Therefore, uncertainties in the drivers directly relate to uncertainties in the neutral density, hence in the drag acceleration. This results in important considerations for the prediction of Low Earth Orbits, especially for the determination of the probability of collision. This study shows how uncertainties in the atmospheric density can cause significant differences in the probability of collision and presents an algorithm that takes these uncertainties into account to more accurately assess the risk of collision. As an example, the effects of a geomagnetic storm on the probability of collision are illustrated.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Effects of Uncertainties in the Atmospheric Density on the Probability of Collision Between Space Objects

2018

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“…In some cases, a satellite may start approaching another satellite due to usual orbiting through its orbit which may destroy it or destruction may happen due to loss of control. The Radio Detection and Ranging (RADAR) system of a satellite provides information about the surrounding space debris and satellites [1].…”

Section: Introductionmentioning

confidence: 99%

“…The term space situational awareness (SSA) describes the gathering and updating of knowledge of close approaches between space objects and their interaction with the space environment. SSA aims at gathering data from GPS, optical telescopes, and radar, to derive state information of space objects and be able to share warnings of close approaches between space objects [1].…”

Section: Introductionmentioning

confidence: 99%

A planning approach to monitor and control the satellite cluster

Kini

Paleppady

2016

MATEC Web of Conferences

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Abstract. There are many satellites in space that revolve round the Earth. Increase in the number of satellites leads to the importance of monitoring satellites for collision detection and avoidance. Collision of satellites can occur if their orbits intersect each other. In order to detect collision and to avoid the collision of satellites, the relative distance between any two satellites needs to be calculated as they revolve. As an objective to calculate the distance between any two satellites, parallel computation is required in order to detect collision. Our paper shows the prediction of collision possibilities between any two satellites and proposes at parallelizing the relative distance and position computation for a satellite of interest and its neighboring satellites.

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