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

Di Chen; Chengyu Hou

Artificial Intelligence for Communications and Networks. Second EAI International Conference, AICON 2020, Virtual Event, December 19-20, 2020, Proceedings

Research Article

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

Download

77 downloads

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.1007/978-3-030-69066-3_40,
    author={Di Chen and Chengyu Hou},
    title={Study on Elevation Estimation of Low-Angle Target in Meter-Wave Radar Based on Machine-Learning},
    proceedings={Artificial Intelligence for Communications and Networks. Second EAI International Conference, AICON 2020, Virtual Event, December 19-20, 2020, Proceedings},
    proceedings_a={AICON},
    year={2021},
    month={7},
    keywords={Elevation estimation Meter-wave radar Reflected echoes cancelling},
    doi={10.1007/978-3-030-69066-3_40}
}

Di Chen
Chengyu Hou
Year: 2021
Study on Elevation Estimation of Low-Angle Target in Meter-Wave Radar Based on Machine-Learning
AICON
Springer
DOI: 10.1007/978-3-030-69066-3_40

Di Chen¹, Chengyu Hou¹

1: Harbin Institute of Technology

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.

Keywords: Elevation estimation Meter-wave radar Reflected echoes cancelling

Published: 2021-07-16
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-030-69066-3_40