Database Of Simulated Inverse Synthetic Aperture Radar Images For Short Range Automotive Radar

被引：0

作者：

Pandey, Neeraj ^{[1
]}

Duggal, Gaurav ^{[1
]}

Ram, Shobha Sundar ^{[1
]}

机构：

[1] Indraprastha Inst Informat Technol Delhi, New Delhi 110020, India

来源：

2020 IEEE INTERNATIONAL RADAR CONFERENCE (RADAR) | 2020年

关键词：

automotive radar; ISAR; open source database; short range radar; SAR ATR; ISAR;

D O I：

10.1109/radar42522.2020.9114780

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Inverse synthetic aperture radar (ISAR) images of dynamic targets have been used for automatic target recognition purposes. Limited experimental data of ISAR images of automotive targets are currently available to the radar community. In this paper, we propose an electromagnetic simulation model for generating ISAR images of dynamic automotive targets for a short-range automotive radar. Further, we provide an open-source database of approximately 750 ISAR images for each of five common automotive targets - two cars, truck, bicycle, and auto-rickshaw. Our results show that ISAR images provide useful insights regarding the dimensions of the vehicles, the number of wheels and the orientation of the vehicle along its trajectory with respect to the radar.

引用

页码：238 / 243

页数：6

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