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Modified Extended Kalman Filtering for Tracking with Insufficient and Intermittent Observations

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  • Pengpeng Chen
  • Honglu Ma
  • Shouwan Gao
  • Yan Huang

Abstract

This paper is concerned with the Kalman filtering problem for tracking a single target on the fixed-topology wireless sensor networks (WSNs). Both the insufficient anchor coverage and the packet dropouts have been taken into consideration in the filter design. The resulting tracking system is modeled as a multichannel nonlinear system with multiplicative noise. Noting that the channels may be correlated with each other, we use a general matrix to express the multiplicative noise. Then, a modified extended Kalman filtering algorithm is presented based on the obtained model to achieve high tracking accuracy. In particular, we evaluate the effect of various parameters on the tracking performance through simulation studies.

Suggested Citation

  • Pengpeng Chen & Honglu Ma & Shouwan Gao & Yan Huang, 2015. "Modified Extended Kalman Filtering for Tracking with Insufficient and Intermittent Observations," Mathematical Problems in Engineering, Hindawi, vol. 2015, pages 1-9, September.
    • Handle: RePEc:hin:jnlmpe:981727
    DOI: 10.1155/2015/981727
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    Cited by:

    1. Abdessamed Derder & Lyes Khelladi & Zouina Doukha, 2021. "A prediction-based protocol for online target tracking in VSNs," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 78(3), pages 377-389, November.

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