A Geosynchronous Orbit Search Strategy

Africano, J. L.; Schildknecht, Thomas; Matney, Mark; Kervin, P.; Stansbery, Eileen K.; Flury, W.

doi:10.1023/b:sdeb.0000030025.04930.08

Cited by 10 publications

(7 citation statements)

References 1 publication

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“…So, other than all sky survey, there is also extensive GEO survey (Zhao et al 2016) figure 7. In our routine observation, we use general survey subsystem to maintain the catalog, and the deep survey subsystem to detect faint objects near the shadow cone (Africano et al 2000).…”

Section: Survey and Methodsmentioning

confidence: 99%

Activities of PMO optical space debris survey

Chen

Zhao

2021

An. Acad. Bras. Ciênc.

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Section: Survey and Methodsmentioning

confidence: 99%

Activities of PMO optical space debris survey

Chen

Zhao

2021

An. Acad. Bras. Ciênc.

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“…Flohrer et al (2005) presented a GEO survey strategy for space surveillance, which is based on the work of Schildknecht et al (1999) for the search for space debris. The work of Schildknecht et al (1999) is also the basis of the GEO survey strategy of the Inter-Agency Space Debris Coordination Committee (IADC) (Africano et al, 2000).…”

Section: Observation Strategies For Optical Space Surveillancementioning

confidence: 99%

Proposed strategies for optical observations in a future European Space Surveillance network

Flohrer

Schildknecht

Musci

2008

Advances in Space Research

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“…In classical surveys for geosynchronous objects, so-called declination stripes are scanned [1,6,15,24,[27][28][29]. These stripes are formed by keeping a fixed right ascension and visiting several declinations.…”

Section: Classical Surveysmentioning

confidence: 99%

“…Traditionally, so-called surveys and follow-up observations are discriminated. Traditionally, survey and follow-up strategies have been developed for geosynchronous orbital regions [1,23,24,27,28]. Similar strategies have been adapted for the low Earth region for radar sensors [4].…”

Section: Introductionmentioning

confidence: 99%

Heuristic and Optimized Sensor Tasking Observation Strategies with Exemplification for Geosynchronous Objects

Frueh

Fielder

Herzog

2018

Journal of Guidance, Control, and Dynamics

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With the new space fence technology, the catalog of known space objects is expected to increase to the order of 100'000 objects. Objects need to be initially detected, and sufficient observations need to be collected to allow for a first orbit determination. Furthermore, the objects have to be re-observed regularly, to keep them in the catalog, as the position uncertainty of the objects increases over time, due to unmodeled dynamic effects. Only a small number of ground-based and even fewer space-based sensors are currently available that are able to collect observations, compared to the large number of objects that need to be observed. This makes efficient sensor tasking, that takes into account the realistic ramifications of the problem, crucial in building up and maintaining a precise and accurate catalog of space objects. The time-varying sensor performance and specific sensor constraints are influenced by the sensor location and observational environmental effects, sensor hardware, processing software and observation modes. This paper shows a new method of solving sensor tasking as an optimization problem translating the heuristic principles that have been successfully applied in sensor tasking of actual SSA networks in a rigorous mathematical framework. A computationally fast near optimal solution is presented, outperforming traditional heuristic sensor tasking methods. Applications of the methodology are shown via the example of the geosynchronous objects listed in the USSTRATCOM two-line element catalog. The results are compared to state of the art observation strategies.

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A Geosynchronous Orbit Search Strategy

Cited by 10 publications

References 1 publication

Activities of PMO optical space debris survey

Activities of PMO optical space debris survey

Proposed strategies for optical observations in a future European Space Surveillance network

Heuristic and Optimized Sensor Tasking Observation Strategies with Exemplification for Geosynchronous Objects

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