Track-to-object association algorithm based on TLE filtering

Tao, Xuefeng; Li, Zhi; Xu, Can; Huo, Yurong; Zhang, Yasheng

doi:10.1016/j.asr.2021.01.036

Cited by 3 publications

(1 citation statement)

References 21 publications

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“…Tao et al proposed a tracklet-to-object matching method based on TLE filtering, which involves initial screening based on tracklet IOD results [33]. In contrast, the matching approach proposed in Section 2.2 circumvents the IOD step and directly executes O − C examination utilizing theoretical observations.…”

Section: Tracklet-to-object Matchingmentioning

confidence: 99%

New Space Object Cataloguing through Very-Short-Arc Data Mining

Liu,

Li,

Sang

et al. 2023

Remote Sensing

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The space surveillance network collects significant quantities of space object monitoring data on a daily basis, which varies in duration and contain observation errors. Cataloguing space objects based on these data may result in a large number of very short arcs (VSAs) being wasted due to cataloguing flaws, poor data quality, data precessing, and so on. To address this problem, an effective data mining method based on tracklet-to-object matching is proposed to improve the data utilization in new object cataloguing. The method can enhance orbital constraints based on useful track information in mined tracklets, improve the accuracy of catalogued orbits, and achieve the transformation of omitted observations into “treasures”. The performance of VSAs is evaluated in tracklet-to-object matching, which is less sensitive to tracklet duration and separation time than initial orbit determination (IOD) and track association. Further, the data mining method is applied to new space object cataloguing based on radar tracklets and achieved significant improvements. The 5-day data utilization increased by 9.5%, and the orbit determination and prediction accuracy increased by 11.1% and 23.6%, respectively, validating the effectiveness of our method in improving the accuracy of space object orbit cataloguing. The method shows promising potential for the space object cataloguing and relevant applications.

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Section: Tracklet-to-object Matchingmentioning

confidence: 99%

New Space Object Cataloguing through Very-Short-Arc Data Mining

Liu,

Li,

Sang

et al. 2023

Remote Sensing

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Mission Scheduling of Multi-Sensor Collaborative Observation for Space Surveillance Network

Long,

Cai,

Yang

et al. 2023

J. of Syst. Eng. Electron.

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With increased dependence on space assets, scheduling and tasking of the space surveillance network (SSN) are vitally important. The multi-sensor collaborative observation scheduling (MCOS) problem is a multi-constraint and high-conflict complex combinatorial optimization problem that is nondeterministic polynomial (NP)-hard. This research establishes a sub-time window constraint satisfaction problem (STWCSP) model with the objective of maximizing observation profit. Considering the significant effect of genetic algorithms (GA) on solving the problem of resource allocation, an evolution heuristic (EH) algorithm containing three strategies that focus on the MCOS problem is proposed. For each case, a task scheduling sequence is first obtained via an improved GA with penalty (GAPE) algorithm, and then a mission planning algorithm (heuristic rule) is used to determine the specific observation time. Compared to the model without sub-time windows and some other algorithms, a series of experiments illustrate the STWCSP model has better performance in terms of total profit. Experiments about strategy and parameter sensitivity validate its excellent performance in terms of EH algorithms.

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Onboard Estimation of Mean Orbital Elements Extended to State Jumping Case

Yue

et al. 2022

Journal of Guidance, Control, and Dynamics

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Track-to-object association algorithm based on TLE filtering

Cited by 3 publications

References 21 publications

New Space Object Cataloguing through Very-Short-Arc Data Mining

New Space Object Cataloguing through Very-Short-Arc Data Mining

Mission Scheduling of Multi-Sensor Collaborative Observation for Space Surveillance Network

Onboard Estimation of Mean Orbital Elements Extended to State Jumping Case

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