Data association and uncertainty pruning for tracks determined on short arcs

Pirovano, Laura; Principe, Gennaro; Armellín, Roberto

doi:10.1007/s10569-019-9947-8

Cited by 10 publications

(7 citation statements)

References 16 publications

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“…7. The mean track duration is of 0.34% of the orbital period, and most of observed track lengths are shorter than 0.65%, of the order of what is usually considered as TSA or VSA [6]. Note that the track duration is related to the information content of the track and it is always possible to obtain an initial state estimate since the state is fully observable.…”

Section: Resultsmentioning

confidence: 99%

“…assessment purposes, as well as for self-correlation tasks such as detection of duplicated objects. The terminology used by authors from the SST community [3][4][5][6] may differ from the classical tracking community [7][8][9][10]. In the latter, the term track refers to a well-established orbit in a RSO catalogue, while for the former a track is a set of observations.…”

Section: Introductionmentioning

confidence: 99%

“…On the contrary, [25] propose the use of the radial velocity, i.e., association in the measurement space, for double fence radar systems. Besides, admissible regions [26] are frequently used during in trackto-track association with optical observations to constrain the range and range-rate domain of search [6,[27][28][29].…”

Section: Introductionmentioning

confidence: 99%

“…Fig 6. Distribution of the semimajor axis (top-left), altitude of perigee (top-right), eccentricity (bottom-left) and inclination (bottom-right) of the simulated RSOs (black) and Space-Track's SATCAT population with altitude of perigee between 205 and 10,920 (green)…”

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confidence: 99%

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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: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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

2022

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“…Instead, this research uses a landmark-based localization method for which we have developed an integrity risk equation (Hassani et al, 2018;Joerger et al, 2016. Landmark-based localization aims to identify landmarks in the lidar PC and to match them with mapped landmarks (Hunde & Ayalew, 2018;Pirovano et al, 2020;Vosselman & Dijkman, 2001).…”

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confidence: 99%

Analytical and Empirical Navigation Safety Evaluation of a Tightly Integrated Lidar/IMU Using Return-Light Intensity

Hassani,

Joerger

2023

navi

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In this paper, we develop, analyze, and test new position and orientation (or pose) estimation and integrity monitoring methods using data from light detection and ranging (lidar) and an inertial measurement unit (IMU). Testing is performed in a mapped laboratory environment.This research is intended for safety evaluation in autonomous vehicles such as automated driving systems (ADSs). ADS testing is necessary but insufficient to provide navigation safety guarantees because accumulating "autonomously driven" road miles does not provide a statistically significant number of traveled miles as compared with manned driving incidents (Kalra & Groves, 2017;Kalra & Paddock, 2016).To quantify safety risks in ADS navigation, we leverage prior analytical work in global navigation satellite system (GNSS)-based aviation navigation, where safety is assessed in terms of integrity. Integrity is a measure of trust in sensor information (International Civil Aviation Organization, 2006). Several methods have been established to predict aircraft GNSS integrity risk (Radio Technical Commission for Aeronautics (RTCA) Special Committee 159, 1996; Working Group C, 2016).

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An orbit determination software suite for Space Surveillance and Tracking applications

Montaruli,

Purpura,

Cipollone

et al. 2024

CEAS Space J

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The growth of both operational satellites and orbital debris is creating the requirement for more robust Space Surveillance and Tracking (SST)-related applications. These systems necessarily must leverage ground-based sensors (optical and radar) to realise higher performance solutions. In this context, the European Union Space Surveillance and Tracking (EUSST) consortium groups European national agencies and institutions, and is in charge of carrying out the following services: conjunction analysis, fragmentation analysis and re-entry prediction, and the Italian Air Force is in charge of the latter two. In this framework, the Italian SST Operational Centre (ISOC) has recently upgraded its system to the ISOC Suite, an integrated platform providing multiple functions and services in the SST domain. This paper presents the orbit determination functions provided by the novel ISOC Suite. First, a statistical index is computed to assess the measurements correlation to a catalogued object. If it is successful, the object predicted orbit is refined through measurements according either to batch or sequential filters; otherwise these are used to refine a first estimate of the target orbital state computed according to dedicated methodologies. After the presentation of the prototypal software architecture, the ISOC Suite performance are assessed and discussed both in terms of synthetic and real data.

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Data association and uncertainty pruning for tracks determined on short arcs

Cited by 10 publications

References 16 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

Analytical and Empirical Navigation Safety Evaluation of a Tightly Integrated Lidar/IMU Using Return-Light Intensity

An orbit determination software suite for Space Surveillance and Tracking applications

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