Joint estimation of telescope drift and space object tracking

Oksana Hagen, Jeremie Houssineau, Isabel Schlangen, Emmanuel D Delande, Jose Franco, Daniel E Clark

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)


With the proliferation of low-cost CCD-based sensors used on telescopes by amateur astronomers, there is potential to exploit these within an infrastructure for space surveillance. Observations may be corrupted by an undesirable drift of the telescope due to mount jittering and uncompensated diurnal motion of stars. This work presents an approach for drift compensation based on a joint estimation of the sensor drift and the states of the objects and stars observed by the telescope. It exploits a recent development in multi-object estimation, known as the single-cluster Probability Hypothesis Density filter, that was designed for group tracking. The sensor drift is obtained by estimating the collective motion of the stars, which is in turn used to correct the estimation of moving objects. The proposed method is illustrated on simulated and real data.

Original languageEnglish
Title of host publication2016 IEEE Aerospace Conference
ISBN (Print)9781467376761
Publication statusPublished - 2016
Event2016 IEEE Aerospace Conference - Big Sky, United States
Duration: 5 Mar 201612 Mar 2016


Conference2016 IEEE Aerospace Conference
Abbreviated titleAERO 2016
Country/TerritoryUnited States
CityBig Sky

ASJC Scopus subject areas

  • Aerospace Engineering
  • Space and Planetary Science


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