The computational complexity of multi-dimension assignment algorithm, which can be used to solve multi-sensor multi-target location and tracking problem based on time difference of arrival (TDOA) measurements, will increase exponentially with the scale of assignment problem. By the fact that multiple emitters usually exist separately in the surveillance space, the clustering technique is used to partition the global multiple dimension assignment problem into some local sub problem for reducing the computational complexity. Its efficiency has been confirmed by computer simulations.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Algorithm of multiple emitters tracking based on TDOA measurements and clustering technique


    Contributors:
    Wu Wei, (author) / Huang Ye, (author)


    Publication date :

    2010-06-01


    Size :

    1000699 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Linear TDOA-based Measurements for Distributed Estimation and Localized Tracking

    Doostmohammadian, Mohammadreza / Charalambous, Themistoklis | IEEE | 2022


    Multiple Satellites Geolocation Based on TDOA Measurement

    Guo, Fucheng / Fan, Yun / Zhou, Yiyu et al. | Wiley | 2014



    Motion detection using TDOA and FDOA measurements

    Ulman, R.J. / Gerantiotis, E. | IEEE | 2001