• Journal of Terahertz Science and Electronic Information Technology
  • Vol. 19, Issue 5, 869 (2021)
LIU Yanjun1、* and NIU Liping2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.11805/tkyda2020197 Cite this Article
    LIU Yanjun, NIU Liping. A cooperative target tracking based on dynamic clustering and Distributed Kalman Filtering[J]. Journal of Terahertz Science and Electronic Information Technology , 2021, 19(5): 869 Copy Citation Text show less
    References

    [4] XING Z,XIA Y. Comparison of centralised scaled unscented Kalman filter and extended Kalman filter for multisensor data fusion architectures[J]. Iet Signal Processing, 2016,10(4):359-365.

    [9] HU H X,YU W,XUAN Q,et al. Consensus of multi-agent systems in the cooperation-competition network with inherent nonlinear dynamics[J]. Neurocomputing, 2015,158(C):134-143.

    [10] SONG H,YU L,ZHANG W A. Distributed consensus-based Kalman filtering in sensor networks with quantised communications and random sensor failures[J]. Iet Signal Processing, 2014,8(2):107-118.

    [11] LI T C,HLAWATSCH F,DJURIC P M. Cardinality-Consensus-based PHD filtering for distributed multitarget tracking[J]. IEEE Signal Processing Letters, 2018,26(1):49-53.

    [12] AL-ALI K O,ILIC N,STANKOVIC M S,et al. Distributed target tracking in sensor networks using multi-step consensus[J]. IET Radar,Sonar & Navigation, 2018,12(9):998-1004.

    LIU Yanjun, NIU Liping. A cooperative target tracking based on dynamic clustering and Distributed Kalman Filtering[J]. Journal of Terahertz Science and Electronic Information Technology , 2021, 19(5): 869
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