A Waveform and Velocity Ambiguity Resolution Method for Corner Radar

Author:

Liu Yu1,Zhang Dan1,Wang Shuo1,Liu Jiazai1

Affiliation:

1. College of Information Science and Technology, Nanjing Forestry University, Nanjing 210037, China

Abstract

Millimeter-wave radar is experiencing an increasing demand for higher resolution and elevation measurement, necessitating its evolution from 3D millimeter-wave radar systems to 4D millimeter-wave radar. Unlike front automotive radar, corner radar is particularly interested in close-range targets. This article proposes a composite waveform tailored for automotive corner radar, employing different waveform schemes for various distances. This allows millimeter-wave angle radar to achieve superior range resolution and velocity resolution in the close and medium ranges. However, enhancing velocity resolution inevitably results in a reduction in the maximum unambiguous velocity. Consequently, a velocity ambiguity resolution method based on target parameter matching for front and rear frames is proposed to address this issue. The feasibility of the composite waveform and method are verified through simulation. Finally, a radar designed with the ALPS PRO chip is employed to test the designed waveform and velocity ambiguity resolution method, yielding results that are largely consistent with the simulation outcomes. The findings indicate a notable enhancement in resolution for medium distances ranging from 60 to 100 m when employing the proposed waveform. Moreover, the velocity ambiguity resolution method effectively resolves velocity ambiguity, leading to enhanced accuracy in velocity measurements. This suggests that the composite waveform and algorithm are well suited for current automotive angle radar applications.

Publisher

MDPI AG

Reference18 articles.

1. Millimeter Wave FMCW RADARs for Perception, Recognition and Localization in Automotive Applications: A Survey;Venon;IEEE Trans. Intell. Veh.,2022

2. Pearce, A., Zhang, J.A., Xu, R., and Wu, K. (2023). Multi-Object Tracking with mmWave Radar: A Review. Electronics, 12.

3. Rohling, H., and Ernst, L. (1995, January 8–11). 77 GHz radar sensor for car application. Proceedings of the Proceedings International Radar Conference, Alexandria, VA, USA.

4. Zhou, H., Cao, P., and Chen, S. (2016, January 2–6). A novel waveform design for multi-target detection in automotive FMCW radar. Proceedings of the 2016 IEEE Radar Conference (RadarConf), Philadelphia, PA, USA.

5. Robey, F.C., Coutts, S., Weikle, D., Mcharg, J.C., and Cuomo, K. (2004, January 7–10). MIMO radar theory and experimental results. Proceedings of the Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, USA.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3