• DocumentCode
    262770
  • Title

    CBMeMBer filters for nonstandard targets, I: Extended targets

  • Author

    Guanghua Zhang ; Feng Lian ; Chongzhao Han

  • Author_Institution
    MOE KLINNS Lab., Xi´an Jiaotong Univ., Xi´an, China
  • fYear
    2014
  • fDate
    7-10 July 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The cardinality balanced multi-target multi-Bernoulli (CBMeMBer) recursion approximates the multi-target posterior density by a multi-Bernoulli probability density, and is based on the standard measurement model that targets are points. In reality, there are many other measurement models substantially different from this. This paper represents part of our theoretical studies on a CBMeMBer filter for nonstandard multitarget measurement models. The main contribution of our work lies in the establishment of the measurement-update equations for a CBMeMBer filter based on the Poisson extended-target measurement model proposed by Gilholm et al.
  • Keywords
    Poisson distribution; measurement theory; probability; target tracking; tracking filters; CBMeMBer filter; Poisson extended-target measurement model; cardinality balanced multitarget multiBernoulli filter; measurement-update equation; multiBernoulli probability density; multitarget posterior density approximation; nonstandard target; standard measurement model; Bayes methods; Clutter; Computational modeling; Density measurement; Equations; Mathematical model; Target tracking; CBMeMBer filter; Multi-target tracking; extended targets; random finite set (RFS);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Fusion (FUSION), 2014 17th International Conference on
  • Conference_Location
    Salamanca
  • Type

    conf

  • Filename
    6915992