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