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Study on Elevation Estimation of Low-Angle Target in Meter-Wave Radar Based on Machine-Learning

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Artificial Intelligence for Communications and Networks (AICON 2020)

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Abstract

In these years, meter-wave radar has gotten more and more attention from the researchers all over the world for its advantages in anti-stealth. However, the beam width of meter-wave radar is wider because of the size of radar antenna's vertical aperture, and it makes the low-angle targets detecting and tracking more difficult, which has become one of the urgent problems in radar field. In this paper, the multipath effect in low-angle target detecting will be researched, and an elevation estimation algorithm of low-angle target in meter-wave radar based on machine-learning will be proposed.

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Authors and Affiliations

  1. Harbin Institute of Technology, NO. 92, Xidazhi Street, Nangang District, Harbin, Heilongjiang, China

    Di Chen & Chengyu Hou

Authors
  1. Di Chen
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  2. Chengyu Hou
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Corresponding author

Correspondence to Di Chen .

Editor information

Editors and Affiliations

  1. Harbin Institute of Technology, Harbin, China

    Shuo Shi

  2. Harbin Institute of Technology, Harbin, China

    Liang Ye

  3. Harbin Institute of Technology, Harbin, China

    Yu Zhang

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© 2021 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Chen, D., Hou, C. (2021). Study on Elevation Estimation of Low-Angle Target in Meter-Wave Radar Based on Machine-Learning. In: Shi, S., Ye, L., Zhang, Y. (eds) Artificial Intelligence for Communications and Networks. AICON 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 356. Springer, Cham. https://doi.org/10.1007/978-3-030-69066-3_40

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  • DOI: https://doi.org/10.1007/978-3-030-69066-3_40

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-69065-6

  • Online ISBN: 978-3-030-69066-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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