Associating optical measurements of MEO and GEO objects using Population-Based Meta-Heuristic methods

Zittersteijn, Michiel; Vananti, Alessandro; Schildknecht, Thomas; Pérez, Juan Carlos Dolado; Martinot, V.

doi:10.1016/j.asr.2016.06.026

Cited by 2 publications

(1 citation statement)

References 24 publications

(37 reference statements)

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“…Track association is a NP-hard (non-deterministic polynomial-time hard) combinational optimisation problem [11], i.e., the computational cost increases exponentially with the number of RSOs. Besides, it is an active area of research in data fusion with different strategies to tackle the problem.…”

Section: Introductionmentioning

confidence: 99%

Track-to-track association methodology for operational surveillance scenarios with radar observations

2022

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This paper proposes a novel track-to-track association methodology able to detect and catalogue resident space objects (RSOs) from associations of uncorrelated tracks (UCTs) obtained by radar survey sensors. It is a multi-target multi-sensor algorithm approach able to associate data from surveillance sensors to detect and catalogue objects. The association methodology contains a series of steps, each of which reduces the complexity of the combinational problem. The main focus are real operational environments, in which brute-force approaches are computationally unaffordable. The hypotheses are scored in the measurement space by evaluating a figure of merit based on the residuals of the observations. This allows us to filter out most of the false hypotheses that would be present in brute-force approaches, as well as to distinguish between true and false hypotheses. The suitability of the proposed track-to-track association has been assessed with a simulated scenario representative of a real operational environment, corresponding to 2 weeks of radar survey data obtained by a single survey radar. The distribution and evolution of the hypotheses along the association process is analysed and typical association performance metrics are included. Most of the RSOs are detected and catalogued and only one false positive is obtained. Besides, the rate of false positives is kept low, most of them corresponding to particular cases or objects with high eccentricity or limited observability.

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Section: Introductionmentioning

confidence: 99%

Track-to-track association methodology for operational surveillance scenarios with radar observations

2022

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Metrics on space of closed orbits for near-Earth objects identification

Vananti,

Meyer zu Westram,

Schildknecht

2023

Celest Mech Dyn Astron

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In the characterization of the space debris environment, the computation of the orbit of the debris objects is usually conducted by considering the association of short sequences of observations called tracklets. In case the orbits can be already determined with sufficient accuracy from single tracklets, it is necessary to define a criterion to decide if two calculated orbits correspond to the same object. One possibility is to introduce a definition of distance between orbits and to consider a threshold below which the two orbits are considered to be originating from the same object. The concept of distance is quite general and leaves room to different definitions. There are different ways to describe and to parameterize the space of the possible orbits. In this article, new metrics are proposed which extend distance definitions suggested in previous works. In these metrics in addition to orbital plane and orbital shape, also the position of the object along the orbit is taken into account. The obtained distances are scaled according to the orbit covariance. This has the advantage that the distance between orbits with different accuracy can be evaluated. The proposed metrics are then compared with existing common metrics to assess their applicability.

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Associating optical measurements of MEO and GEO objects using Population-Based Meta-Heuristic methods

Cited by 2 publications

References 24 publications

Track-to-track association methodology for operational surveillance scenarios with radar observations

Track-to-track association methodology for operational surveillance scenarios with radar observations

Metrics on space of closed orbits for near-Earth objects identification

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