Satellite maneuver detection and estimation with optical survey observations

Pastor, Alejandro Pérez; Escribano, Guillermo; Sanjurjo-Rivo, Manuel; Escobar, Diego A.

doi:10.1007/s40295-022-00311-5

Cited by 17 publications

(6 citation statements)

References 14 publications

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“…The methodology was conceived as a key component for catalogue build-up and maintenance. Although the main application of this track-to-track association algorithm is to detect new RSOs, the methodology can be extended to study the manoeuvre detection and estimation problem [43] and even the fragmentation detection problem that arises after a break-up event [44].…”

Section: Discussionmentioning

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: Discussionmentioning

confidence: 99%

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

2022

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“…As it has been already mentioned in a number of works (including the author's works), the orbit after a maneuver is considered to be known and it is used during the maneuver assessment. However, in other works, the orbit after a maneuver is determined simultaneously with the parameters of the maneuver [4][5][6][7]. These works are noted due to the use of optical measurements in them.…”

Section: Introductionmentioning

confidence: 99%

Assessment of Non-Coplanar Maneuver Parameters and Perturbing Accelerations Using the Minimal Number of Observations

Baranov

2024

Symmetry

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The algorithms for determining the active space object maneuver parameters in the conditions of near-circular orbits are presented in the paper. The right ascension and declination angles are used to determine the parameters of a single maneuver with transversal and lateral components (the application moment and the velocity impulse magnitude). Two pairs of angles are used to determine the parameters of the maneuver with only a lateral component. Two pairs of angles are needed for the determination of the parameters of the long-duration maneuver performed by a low-thrust engine (moments of the maneuver start and finish, and components of the acceleration delivered by the engine). The essential detail that makes it possible to determine the parameters of long-duration maneuvers is their symmetry relative to the center of the engine operating interval. Considerable perturbing accelerations, which are not accounted for by traditional perturbing models, affect passive objects, especially membranous objects with a big and variable area-to-mass ratio. This decreases dramatically the accuracy of these objects’ motion propagation. In this paper, the magnitude of perturbing acceleration is determined with the assumption that it is constant and is active throughout the whole time interval from the moment of the last orbit determination to the moment of the new measurement used. Examples of the assessment of maneuvers performed by an object in the geostationary orbit are presented.

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“…It does not determine if the target orbit is stable but evaluates whether the TLE data are consistent with the target's predicted movement [11]. References [12,13] conducted maneuver detection experiments assuming a Gaussian distribution and using discriminative methods, such as the Euclidean or Mahalanobis distance. However, due to large fluctuations in the TLE's accuracy, it is difficult to detect low-thrust satellite maneuvers [14].…”

Section: Introductionmentioning

confidence: 99%

Two-Line Element Outlier and Space Event Detection Method Based on Multi-Strategy Genetic Algorithm

Zhang,

Zhao,

2024

Applied Sciences

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The detection of two-line element (TLE) outliers and space events play a crucial role in enhancing spatial situational awareness. Therefore, this paper addresses the issue of TLE outlier detection methods that often overlook the mutual influence of multiple factors. Hence, a Multivariate Gaussian Mixture Model (MGMM) is introduced to consider the interdependencies among various indicators. Additionally, a Multi-strategy Genetic Algorithm (MGA) is employed to adjust the complexity of the MGMM, allowing it to accurately learn the actual distribution of TLE data. Initially, the proposed method applies probabilistic fits to the predicted error rate changes for both the TLE semi-major axis and the orbital inclination. Chaos initialization, a posterior probability penalty, and local optimization iterations are subsequently integrated into the genetic algorithm. These enhancements aim to estimate the MGMM parameters, addressing issues related to poor robustness and the susceptibility of the MGMM to converge to local optima. The algorithm’s effectiveness is validated using TLE data from typical space targets. The results demonstrate that the optimized algorithm can efficiently detect outliers and maneuver events within complex TLE data. Notably, the comprehensive detection performance index, measured, using the F1 score, improved by 15.9% compared to the Gaussian mixture model. This significant improvement underscores the importance of the proposed method in bolstering the security of complex space environments.

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Satellite maneuver detection and estimation with optical survey observations

Cited by 17 publications

References 14 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

Assessment of Non-Coplanar Maneuver Parameters and Perturbing Accelerations Using the Minimal Number of Observations

Two-Line Element Outlier and Space Event Detection Method Based on Multi-Strategy Genetic Algorithm

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