逆合成孔径雷达
合成孔径雷达
汽车工业
雷达
计算机科学
光圈(计算机存储器)
侧视机载雷达
雷达成像
领域(数学)
近场和远场
声学
可识别性
遥感
雷达工程细节
工程类
计算机视觉
地质学
航空航天工程
物理
光学
电信
数学
机器学习
纯数学
作者
Michael Shifrin,Joseph Tabrikian,Igal Bilik
出处
期刊:
日期:2024-03-18
卷期号:: 8826-8830
标识
DOI:10.1109/icassp48485.2024.10446433
摘要
Automotive radar is the main sensor enabling autonomous driving and active safety features. It is required to provide high-resolution information on the vehicle's surroundings, accurately localize surrounding objects, and estimate their velocity in two dimensions. Conventional automotive radars operating in the far-field regime estimate only the target's radial velocity and cannot obtain its tangential velocity. However, the near-field propagation conditions allow the tangential radar target velocity estimation. This work proposes to extend the radar aperture using the synthetic aperture radar (SAR) approach for automotive applications to extend the near-field operation conditions to cover the automotive radar ranges of interest. This work derives the near-field synthetic aperture model and defines the near-field synthetic aperture to conduct an identifiability study using the Cramér-Rao bound for the near-field model. It is demonstrated that it is possible to estimate the tangential radar target velocity in practical automotive scenarios.
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