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Multi-target Detection of FMCW Radar Based on Width Filtering

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Book cover Advances in Internetworking, Data & Web Technologies (EIDWT 2017)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 6))

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Abstract

Considering the issue of how to implement multi-target detection rightly in the complex environment of LFMCW (linear frequency modulated continuous wave) radar, a framework was proposed to analyze target detection based on width information in the frequency domain. The method involves three procedures. First, CFAR (constant false alarm rate) processor was implemented in frequency spectrum of beat frequency for the echo. Besides, a clustering algorithm was introduced to obtain width and amplitude information by calculate the continuous interval width of the frequency spectrum in positive frequency domain after the CFAR, Finally, multi-target detection by remove tiny spectrum cluster through width filtrating and spectrum line association utilize amplitude and width information in frequency domain. And a computer simulation was carried out. The result showed that the framework could effectively eliminate false target caused by clutter. The method could be used in target location and tracking signal processing in continuous wave radar system.

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Authors and Affiliations

  1. Information Engineering Department, University of the People’s Armed Police Force, Xi’an, Shaanxi, China

    Mingfei Liu, Yi Qu & Yefeng Zhang

Authors
  1. Mingfei Liu
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  2. Yi Qu
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  3. Yefeng Zhang
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Corresponding author

Correspondence to Mingfei Liu .

Editor information

Editors and Affiliations

  1. Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. School of Computer Sciences, Hubei University of Technology, Wuhan, China

    Mingwu Zhang

  3. Department of Electronic Technology, Key, Engineering University of CAPF, Xi’an, Xizang, China

    Xu An Wang

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Liu, M., Qu, Y., Zhang, Y. (2018). Multi-target Detection of FMCW Radar Based on Width Filtering. In: Barolli, L., Zhang, M., Wang, X. (eds) Advances in Internetworking, Data & Web Technologies. EIDWT 2017. Lecture Notes on Data Engineering and Communications Technologies, vol 6. Springer, Cham. https://doi.org/10.1007/978-3-319-59463-7_74

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  • DOI: https://doi.org/10.1007/978-3-319-59463-7_74

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59462-0

  • Online ISBN: 978-3-319-59463-7

  • eBook Packages: EngineeringEngineering (R0)

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