Dataset of simulated inverse synthetic aperture radar (ISAR) images of automotive targets.

This dataset consists of realistic simulated inverse synthetic aperture radar (ISAR) images of five commonly found automotive targets- a full-size car, a mid-size car, a bicycle, an auto-rickshaw, and a four-wheel truck. The ISAR images are generated of these targets moving along four distinct trajectories while performing four different maneuvers: right turn (South to East, East to North, North to West, and West to South); left turn (South to West, West to North, North to East, and East to South); U-turn (South to South, West to West, North to North, and East to East); and a straight trajectory (South to North; North to South, East to West, and West to East) at a four-way traffic junction. We have incorporated range-Doppler clutter and receiver noise in our simulated ISAR images. This dataset is associated with the paper arXiv:2101.12535

本数据集包含五类常见车载目标的逼真仿真逆合成孔径雷达（Inverse Synthetic Aperture Radar，ISAR）图像，涵盖全尺寸轿车、中型轿车、自行车、自动三轮车与四轮卡车。上述目标在四路交通交叉口沿四种不同运动轨迹完成四类典型机动动作时生成对应ISAR图像，四类机动分别为：右转（南→东、东→北、北→西、西→南）、左转（南→西、西→北、北→东、东→南）、U型转弯（南→南、西→西、北→北、东→东），以及直行轨迹（南→北、北→南、东→西、西→东）。本仿真ISAR图像已集成距离多普勒杂波及接收机噪声。本数据集与arXiv:2101.12535号学术论文相关联。

搜集汇总

背景与挑战

背景概述

该数据集是一个模拟逆合成孔径雷达（ISAR）图像的数据集，专注于五种常见汽车目标（包括全尺寸汽车、中型汽车、自行车、三轮车和四轮卡车）。数据集通过模拟目标在四种不同轨迹（右转、左转、U型转弯和直线）上的运动，并考虑了多种信噪比和杂波条件，生成了具有现实感的ISAR图像，适用于雷达目标识别和机器学习应用研究。