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Cooperative shift estimation of target trajectory using clustered sensors

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Abstract

In this paper, a mathematical model for target tracking using nonlinear scalar range sensors is formulated first. A time-shift sensor scheduling strategy is addressed on the basis of a k-barrier coverage protocol and all the sensors are divided into two classes of clusters, active cluster, and submissive cluster, for energy-saving. Then two types of time-shift nonlinear filters are proposed for both active and submissive clusters to estimate the trajectory of the moving target with disturbed dynamics. The stochastic stability of the two filters is analyzed. Finally, some numerical simulations are given to demonstrate the effectiveness of the new filters with a comparison of EKF.

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Author information

Authors and Affiliations

  1. School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, China

    Jiangping Hu

  2. Optimization and Systems Theory and ACCESS Linnaeus Center, Royal Institute of Technology, Stockholm, Sweden

    Xiaoming Hu

  3. Department of Engineering and Applied Sciences, Sophia University, Tokyo, Japan

    Tielong Shen

Authors
  1. Jiangping Hu
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  2. Xiaoming Hu
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  3. Tielong Shen
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Corresponding author

Correspondence to Jiangping Hu.

Additional information

This work is supported by the National Natural Science Foundation of China under Grant No. 61104104, the Scientific Research Foundation for the Returned Overseas Chinese Scholars, State Education Ministry of China and the Program for New Century Excellent Talents in University under Grant No. NCET-13-0091.

This paper was recommended for publication by Editor ZHANG Jifeng.

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Hu, J., Hu, X. & Shen, T. Cooperative shift estimation of target trajectory using clustered sensors. J Syst Sci Complex 27, 413–429 (2014). https://doi.org/10.1007/s11424-014-2191-0

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  • DOI: https://doi.org/10.1007/s11424-014-2191-0

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