• myGriffith
    • Staff portal
    • Contact Us⌄
      • Future student enquiries 1800 677 728
      • Current student enquiries 1800 154 055
      • International enquiries +61 7 3735 6425
      • General enquiries 07 3735 7111
      • Online enquiries
      • Staff phonebook
    View Item 
    •   Home
    • Griffith Research Online
    • Conference outputs
    • View Item
    • Home
    • Griffith Research Online
    • Conference outputs
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

  • All of Griffith Research Online
    • Communities & Collections
    • Authors
    • By Issue Date
    • Titles
  • This Collection
    • Authors
    • By Issue Date
    • Titles
  • Statistics

  • Most Popular Items
  • Statistics by Country
  • Most Popular Authors
  • Support

  • Contact us
  • FAQs
  • Admin login

  • Login
  • Two Targets Tracking over Heterogeneous Sensor Networks with Random Network Topologies

    Author(s)
    Ge, Xiaohua
    Han, Qing-Long
    Vlacic, Ljubo
    Griffith University Author(s)
    Vlacic, Ljubo
    Year published
    2015
    Metadata
    Show full item record
    Abstract
    This paper is concerned with the problem of two targets tracking over sensor networks. A heterogeneous sensor network framework in considered, in which two types of sensors are employed (denoted as x-type and y-type sensors, respectively). Sensors with x-type can only measure information from target x, while sensors with y-type can only measure information from target y. Sensors update their tracking estimations by using only local information collected from neighboring ones. The network topology is random and governed by a continuous-time Markov process, whose states represent possible modes of interaction topologies of ...
    View more >
    This paper is concerned with the problem of two targets tracking over sensor networks. A heterogeneous sensor network framework in considered, in which two types of sensors are employed (denoted as x-type and y-type sensors, respectively). Sensors with x-type can only measure information from target x, while sensors with y-type can only measure information from target y. Sensors update their tracking estimations by using only local information collected from neighboring ones. The network topology is random and governed by a continuous-time Markov process, whose states represent possible modes of interaction topologies of sensors. To solve the two targets tracking problem, a novel distributed tracking protocol in the form of consensus-based estimators is delicately developed. Then, tracking performance analysis against the effects of random network topologies is carried out as well as a criterion for designing desired tracking protocol parameters is derived such that the two targets tracking can be achieved. A numerical example is given to demonstrate the effectiveness of the proposed theoretical results.
    View less >
    Conference Title
    2015 5TH AUSTRALIAN CONTROL CONFERENCE (AUCC)
    Publisher URI
    http://ieeexplore.ieee.org/abstract/document/7361956/
    Subject
    Automation engineering
    Publication URI
    http://hdl.handle.net/10072/123495
    Collection
    • Conference outputs

    Footer

    Disclaimer

    • Privacy policy
    • Copyright matters
    • CRICOS Provider - 00233E
    • TEQSA: PRV12076

    Tagline

    • Gold Coast
    • Logan
    • Brisbane - Queensland, Australia
    First Peoples of Australia
    • Aboriginal
    • Torres Strait Islander