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An Improved PHD Filter Based on Dynamic Programming

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Geo-Spatial Knowledge and Intelligence (GSKI 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 849))

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Abstract

Traditional PHD filter for detecting and tracking weak targets does not work well in the case of low detection probability. In this paper, an improvement of PHD filtering based on dynamic programming is proposed. The method takes advantage of the correlation among the multi-frame data. The result of dynamic programming is applied to PHD filter for getting stable detecting and tracking effect. Monte Carlo simulation results show that the improved method is superior to the PHD filter under low detection probability.

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Acknowledgments

The work is supported by NSFC (No. 61771028 and No. 61673146).

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Authors and Affiliations

  1. School of EIE, Beihang University, Beijing, 100191, China

    Meng Fang, Wenguang Wang, Dong Cao & Yan Zuo

Authors
  1. Meng Fang
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  2. Wenguang Wang
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  3. Dong Cao
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  4. Yan Zuo
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Corresponding author

Correspondence to Meng Fang .

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Editors and Affiliations

  1. Beijing Institute of Technology, Beijing, China

    Hanning Yuan

  2. Beijing Institute of Technology, Beijing, China

    Jing Geng

  3. Beijing Institute of Technology, Beijing, China

    Chuanlu Liu

  4. Wuhan University, Wuhan, China

    Fuling Bian

  5. Beijing Institute of Technology, Beijing, China

    Tisinee Surapunt

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© 2018 Springer Nature Singapore Pte Ltd.

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Fang, M., Wang, W., Cao, D., Zuo, Y. (2018). An Improved PHD Filter Based on Dynamic Programming. In: Yuan, H., Geng, J., Liu, C., Bian, F., Surapunt, T. (eds) Geo-Spatial Knowledge and Intelligence. GSKI 2017. Communications in Computer and Information Science, vol 849. Springer, Singapore. https://doi.org/10.1007/978-981-13-0896-3_28

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  • DOI: https://doi.org/10.1007/978-981-13-0896-3_28

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-0895-6

  • Online ISBN: 978-981-13-0896-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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