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

4 Citations (Scopus)

Abstract

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
PublisherIEEE
ISBN (Print)9781467376761
DOIs
Publication statusPublished - 2016
Event2016 IEEE Aerospace Conference - Big Sky, United States
Duration: 5 Mar 201612 Mar 2016

Conference

Conference2016 IEEE Aerospace Conference
Abbreviated titleAERO 2016
CountryUnited States
CityBig Sky
Period5/03/1612/03/16

ASJC Scopus subject areas

  • Aerospace Engineering
  • Space and Planetary Science

Fingerprint Dive into the research topics of 'Joint estimation of telescope drift and space object tracking'. Together they form a unique fingerprint.

  • Cite this

    Hagen, O., Houssineau, J., Schlangen, I., Delande, E. D., Franco, J., & Clark, D. E. (2016). Joint estimation of telescope drift and space object tracking. In 2016 IEEE Aerospace Conference [7500627] IEEE. https://doi.org/10.1109/AERO.2016.7500627