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

    Multimodel filtering of partially observable space object trajectories

    Access Status
    Fulltext not available
    Authors
    Zatezalo, A.
    El-Fallah, A.
    Mahler, Ronald
    Mehra, R.
    Pham, K.
    Date
    2011
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Zatezalo, A. and El-Fallah, A. and Mahler, R. and Mehra, R. and Pham, K. 2011. Multimodel filtering of partially observable space object trajectories.
    Source Title
    Proceedings of SPIE - The International Society for Optical Engineering
    DOI
    10.1117/12.884609
    ISBN
    9780819486240
    School
    Department of Electrical and Computer Engineering
    URI
    http://hdl.handle.net/20.500.11937/56219
    Collection
    • Curtin Research Publications
    Abstract

    In this paper we present methods for multimodel filtering of space object states based on the theory of finite state time nonhomogeneous cadlag Markov processes and the filtering of partially observable space object trajectories. The state and observation equations of space objects are nonlinear and therefore it is hard to estimate the conditional probability density of the space object trajectory states given EO/IR, radar or other nonlinear observations. Moreover, space object trajectories can suddenly change due to abrupt changes in the parameters affecting a perturbing force or due to unaccounted forces. Such trajectory changes can lead to the loss of existing tracks and may cause collisions with vital operating space objects such as weather or communication satellites. The presented estimation methods will aid in preventing the occurrence of such collisions and provide warnings for collision avoidance. © 2011 SPIE.

    Related items

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

    • Multi-object tracking using hybrid observation in PHD filter
      Yoon, J.; Yoon, K.; Kim, Du Yong (2013)
      In this paper, we propose a novel multi-object tracking method to track unknown number of objects with a single camera system. We design the tracking method via probability hypothesis density (PHD) filtering which considers ...
    • Visual mining of moving flock patterns in large spatio-temporal data sets using a frequent pattern approach
      Turdukulov, Ulanbek; Romero, A.; Huisman, O.; Retsios, V. (2014)
      The popularity of tracking devices continues to contribute to increasing volumes of spatio-temporal data about moving objects. Current approaches in analysing these data are unable to capture collective behaviour and ...
    • Global inverse optimal tracking control of underactuated omni-directional intelligent navigators (ODINs)
      Do, Khac Duc (2015)
      This paper presents a design of optimal controllers with respect to a meaningful cost function to force an underactuated omni-directional intelligent navigator (ODIN) under unknown constant environmental loads to track a ...
    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.