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International Conference in Communications, Signal Processing, and Systems

CSPS 2018: Communications, Signal Processing, and Systems pp 746–751Cite as

Through Wall Human Detection Based on Support Tensor Machines

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 516))

Abstract

Through wall human detection based on ultra-wideband (UWB) radar is a challenging task due to the complex environment. In this case, it is not enough for the research sample that is only with high cost. In this paper, we propose a novel algorithm named support tensor machines (STMs). It avoids the overfitting in pattern recognition. We conduct two groups of experiments on high-dimensional and small-sampling data. The experimental results prove that our method not only achieves the desired results, but also saves plenty of computation time.

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References

  1. Li J, Zeng Z, Sun J, Liu F. Through-wall detection of human being’s movement by UWB radar. IEEE Geosci Remote Sens Lett. 2012;9(6):1079–83.

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Acknowledgments

This paper is supported by Natural Youth Science Foundation of China (61501326, 61401310), the National Natural Science Foundation of China (61731006) and Natural Science Foundation of China (61271411). It is also supported by Tianjin Research Program of Application Foundation and Advanced Technology (15JCZDJC31500), and Tianjin Science Foundation (16JCYBJC16500). This work was also supported by the Tianjin Higher Education Creative Team Funds Program.

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Authors and Affiliations

  1. Tianjin Key Laboratory of Wireless Mobile Communications and Power Transmission, Tianjin Normal University, 300387, Tianjin, China

    Li Zhang, Wei Wang, Yu Jiang, Dan Wang & Min Zhang

Authors
  1. Li Zhang
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  2. Wei Wang
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  3. Yu Jiang
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  4. Dan Wang
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  5. Min Zhang
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Corresponding author

Correspondence to Li Zhang .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, University of Texas at Arlington, Arlington, TX, USA

    Qilian Liang

  2. School of Information and Communication Engineering, Dalian University of Technology, Dalian, China

    Xin Liu

  3. School of Information Science and Technology, Dalian Maritime University, Dalian, China

    Zhenyu Na

  4. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Wei Wang

  5. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Jiasong Mu

  6. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Baoju Zhang

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© 2020 Springer Nature Singapore Pte Ltd.

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Cite this paper

Zhang, L., Wang, W., Jiang, Y., Wang, D., Zhang, M. (2020). Through Wall Human Detection Based on Support Tensor Machines. In: Liang, Q., Liu, X., Na, Z., Wang, W., Mu, J., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2018. Lecture Notes in Electrical Engineering, vol 516. Springer, Singapore. https://doi.org/10.1007/978-981-13-6504-1_90

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  • DOI: https://doi.org/10.1007/978-981-13-6504-1_90

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-6503-4

  • Online ISBN: 978-981-13-6504-1

  • eBook Packages: EngineeringEngineering (R0)

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