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Study on Feasibility of Remote Metal Detection Using Millimeter Wave Radar for Convenient and Efficient Security Check

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Green, Pervasive, and Cloud Computing (GPC 2020)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12398))

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Abstract

Millimeter-wave (mmWave) has advantages of sensitivity and concealment, which enables a mature application in human body security. However, all the state-of-the-art solutions are based on a huge antenna array which is too cumbersome, i.e., it is difficult to move, repair, and also occupies a large amount of space. From views of the long term, it is uneconomical, high power consumption and narrow application. In this paper, we propose a new and more efficient detection system. We utilize a small radar chip with a custom-designed method to extract the spatial features of the detected objects, e.g., location and energy intensity. The method establishes the image of the energy intensity changing with time and analyzes the change of reflected energy of different materials on different people to find the relationship between them. From the relationship, we can infer whether there are metal products and their positions quickly on the tested person. The proposed solution is implemented on a mmWave radar. We evaluate it thoroughly and provide more extensive experiments for its practicability.

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Acknowledgment

The research is supported by National Science and Technology Major Program of the Ministry of Science and Technology and project name is Research on 5G channel emulation and performance validation with 2018ZX03001031, NSFC (61772084, 61832010), the Fundamental Research Funds for the Central Universities (2019XD-A13).

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Authors and Affiliations

  1. Beijing University of Posts and Telecommunications, Beijing, China

    Yixuan Lu, Weixi Chen, Haipeng Liu & Anfu Zhou

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  1. Yixuan Lu
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  2. Weixi Chen
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  3. Haipeng Liu
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  4. Anfu Zhou
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Corresponding author

Correspondence to Anfu Zhou .

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Editors and Affiliations

  1. Northwestern Polytechnical University, Xi’an, China

    Zhiwen Yu

  2. University of Mannheim, Mannheim, Germany

    Christian Becker

  3. Chinese University of Hong Kong, Shatin, Hong Kong

    Guoliang Xing

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Lu, Y., Chen, W., Liu, H., Zhou, A. (2020). Study on Feasibility of Remote Metal Detection Using Millimeter Wave Radar for Convenient and Efficient Security Check. In: Yu, Z., Becker, C., Xing, G. (eds) Green, Pervasive, and Cloud Computing. GPC 2020. Lecture Notes in Computer Science(), vol 12398. Springer, Cham. https://doi.org/10.1007/978-3-030-64243-3_2

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  • DOI: https://doi.org/10.1007/978-3-030-64243-3_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-64242-6

  • Online ISBN: 978-3-030-64243-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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