A new multi-target tracking algorithm for a large number of orbiting objects

E. Delande, J. Houssineau, J. Franco, C. Frueh, D. Clark, M. Jah

Research output: Contribution to journalArticle

Abstract

This paper presents the filter for Hypothesised and Independent Stochastic Populations (HISP), a multi-object joint detection/tracking algorithm derived from a recent estimation framework for stochastic populations, in the context of Space Situational Awareness. Designed for multi-object estimation problems where the data association between tracks and collected observations is moderately ambiguous, the HISP filter has a linear complexity with the number of objects and the number of observations. Because of its scalable complexity, the HISP filter is a promising solution for the construction of a large-scale catalogue of Resident Space Objects. We illustrate the HISP filter on a challenging surveillance scenario built from real data for 115 satellites of PlanetLabs’ Dove constellation, and simulated observations collected from two sensors with limited coverage and measurement noise, in the presence of false positives and missed detection.

LanguageEnglish
Pages645-667
Number of pages23
JournalAdvances in Space Research
Volume64
Issue number3
Early online date13 May 2019
DOIs
Publication statusE-pub ahead of print - 13 May 2019

Fingerprint

Target tracking
filter
filters
Satellites
Sensors
situational awareness
constellations
noise measurement
surveillance
catalogs
sensor
sensors
detection

Keywords

  • Multi-object Bayesian estimation
  • Multi-target detection and tracking
  • Space situational awareness
  • Stochastic populations

ASJC Scopus subject areas

  • Aerospace Engineering
  • Astronomy and Astrophysics
  • Geophysics
  • Atmospheric Science
  • Space and Planetary Science
  • Earth and Planetary Sciences(all)

Cite this

Delande, E., Houssineau, J., Franco, J., Frueh, C., Clark, D., & Jah, M. (2019). A new multi-target tracking algorithm for a large number of orbiting objects. Advances in Space Research, 64(3), 645-667. https://doi.org/10.1016/j.asr.2019.04.012
Delande, E. ; Houssineau, J. ; Franco, J. ; Frueh, C. ; Clark, D. ; Jah, M. / A new multi-target tracking algorithm for a large number of orbiting objects. In: Advances in Space Research. 2019 ; Vol. 64, No. 3. pp. 645-667.
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Delande, E, Houssineau, J, Franco, J, Frueh, C, Clark, D & Jah, M 2019, 'A new multi-target tracking algorithm for a large number of orbiting objects', Advances in Space Research, vol. 64, no. 3, pp. 645-667. https://doi.org/10.1016/j.asr.2019.04.012

A new multi-target tracking algorithm for a large number of orbiting objects. / Delande, E.; Houssineau, J.; Franco, J.; Frueh, C.; Clark, D.; Jah, M.

In: Advances in Space Research, Vol. 64, No. 3, 01.08.2019, p. 645-667.

Research output: Contribution to journalArticle

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