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

    Multitarget detection and tracking in dynamic quadratic clutter

    Access Status
    Fulltext not available
    Authors
    Mahler, Ronald
    Date
    2014
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Mahler, R. 2014. Multitarget detection and tracking in dynamic quadratic clutter, pp. 1-6.
    Source Title
    2014 International Conference on Control, Automation and Information Sciences, ICCAIS 2014
    DOI
    10.1109/ICCAIS.2014.7020537
    ISBN
    9781479972043
    School
    Department of Electrical and Computer Engineering
    URI
    http://hdl.handle.net/20.500.11937/56162
    Collection
    • Curtin Research Publications
    Abstract

    © 2014 IEEE. In previous publications the author introduced CPHD filters designed to detect and track multiple targets in unknown, dynamically changing clutter backgrounds. The first such filters employed Poisson clutter generators and resulted in combinatorially complex algorithms. Subsequent CPHD filters achieved computational tractability by replacing Poisson clutter generators with Bernoulli clutter generators. Because they are statistically first-degree, Bernoulli generators are insufficiently complex to model real-world clutter with high accuracy. This paper describes CPHD filters based on second-degree quadratic clutter generators. CPHD filters based on quadratic generators are combinatorially second-order and therefore more amenable to approximation than those based on Poisson clutter generators. They can also be implemented in exact closed form using beta-Gaussian mixture (BGM) or Dirichlet-Gaussian mixture (DGM) techniques.

    Related items

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

    • CPHD filters with unknown quadratic clutter generators
      Mahler, Ronald (2015)
      © 2015 SPIE. Previous research has produced CPHD filters that can detect and track multiple targets in unknown, dynamically changing clutter. The.first such filters employed Poisson clutter generators and, as a result, ...
    • A comparison of "clutter-agnostic" PHD filters
      Mahler, Ronald (2012)
      This paper describes a general approach for deriving PHD/CPHD filters that must estimate the background clutter process, rather than being provided with it a priori. I first derive general time- and measurementupdate ...
    • CPHD Filtering With Unknown Clutter Rate and Detection Profile
      Mahler, R.; Vo, Ba Tuong; Vo, Ba-Ngu (2011)
      In Bayesian multi-target filtering, we have to contend with two notable sources of uncertainty, clutter and detection. Knowledge of parameters such as clutter rate and detection profile are of critical importance in ...
    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.