Curtin University Homepage
  • Library
  • Help
    • Admin

    espace - Curtin’s institutional repository

    JavaScript is disabled for your browser. Some features of this site may not work without it.
    View Item 
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item

    Generalized labeled multi-Bernoulli space-object tracking with joint prediction and update

    Access Status
    Fulltext not available
    Authors
    Jones, B.
    Vo, Ba Tuong
    Vo, Ba-Ngu
    Date
    2016
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Jones, B. and Vo, B.T. and Vo, B. 2016. Generalized labeled multi-Bernoulli space-object tracking with joint prediction and update, in Proceedings of the Astrodynamics Specialist Conference (AIAA/AAS), Sep 13-16 2016, pp. 1177-1194. Long Beach, California: American Institute of Aeronautics and Astronautics.
    Source Title
    AIAA/AAS Astrodynamics Specialist Conference, 2016
    DOI
    10.2514/6.2016-5502
    ISBN
    9781624104459
    School
    Department of Electrical and Computer Engineering
    URI
    http://hdl.handle.net/20.500.11937/50659
    Collection
    • Curtin Research Publications
    Abstract

    Space-object tracking systems require robust and accurate methods of multi-target state estimation and prediction. This paper presents the application of labeled multi-Bernoulli filters for space-object tracking, and leverages a joint prediction and update with Gibbs sampling to improve computational efficiency. Based on the use of labeled random finite sets, the d-Generalized Labeled Multi-Bernoulli Filter provides a closed-form solution to the Bayes recursion for a multi-target filter. A similar filter, the Labeled Multi-Bernoulli Filter, is a principled approximation to reduce computational complexity. Upon combining these filters with astrodynamics-based models for orbit state probability density function prediction and initial orbit determination, a 100-object simulation is used to demonstrate the ability of these tools to track space objects in near-geosynchronous orbit. Both filters converge on solutions with sub-500 meter accuracy and demonstrate similar performance as a function of detection probability, clutter, and the birth model employed. A robust comparison of the two filters requires further Monte Carlo-based tests to quantify variance in the solutions due to random inputs.

    Related items

    Showing items related by title, author, creator and subject.

    • Multi-Object Tracking Using Labeled Multi-Bernoulli Random Finite Sets
      Reuter, S.; Vo, Ba Tuong; Vo, Ba-Ngu; Dietmayer, K. (2014)
      In this paper, we propose the labeled multi-Bernoulli filter which explicitly estimates target tracks and provides a more accurate approximation of the multi-object Bayes update than the multi-Bernoulli filter. In particular, ...
    • The Labeled Multi-Bernoulli Filter
      Reuter, S.; Vo, Ba Tuong; Vo, Ba-Ngu; Dietmayer, K. (2014)
      This paper proposes a generalization of the multi- Bernoulli filter called the labeled multi-Bernoulli filter that outputs target tracks. Moreover, the labeled multi-Bernoulli filter does not exhibit a cardinality bias ...
    • Challenges of multi-target tracking for space situational awareness
      Jones, B.; Bryant, D.; Vo, Ba-Ngu; Vo, Ba Tuong (2015)
      The tracking of space objects poses unique challenges when compared to traditional applications. Direct application of standard multi-target tracking models fails to yield accurate results for the case of space objects. ...
    Advanced search

    Browse

    Communities & CollectionsIssue DateAuthorTitleSubjectDocument TypeThis CollectionIssue DateAuthorTitleSubjectDocument Type

    My Account

    Admin

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Follow Curtin

    • 
    • 
    • 
    • 
    • 

    CRICOS Provider Code: 00301JABN: 99 143 842 569TEQSA: PRV12158

    Copyright | Disclaimer | Privacy statement | Accessibility

    Curtin would like to pay respect to the Aboriginal and Torres Strait Islander members of our community by acknowledging the traditional owners of the land on which the Perth campus is located, the Whadjuk people of the Nyungar Nation; and on our Kalgoorlie campus, the Wongutha people of the North-Eastern Goldfields.