Waveform Design for High-Resolution Automotive Radar

被引：0

作者：

Xu, Zhihuo ^{[1
]}

Baker, Chris J. ^{[2
]}

Pooni, Sukhjit ^{[2
]}

机构：

[1] Nantong Univ, Sch Transportat, Radar & Image Res Grp, Nantong, Peoples R China

[2] Univ Birmingham, Microwave Integrated Syst Lab, Birmingham, W Midlands, England

来源：

2019 20TH INTERNATIONAL RADAR SYMPOSIUM (IRS) | 2019年

基金：

中国国家自然科学基金;

关键词：

D O I：

10.23919/irs.2019.8768123

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：

High spatial and Doppler resolutions are a fundamental building block of advanced automotive radar systems that will aid autonomous driving. High spatial and Doppler resolutions provide the level of detail in extracted information enabling reliability of interpretation to aid decision making for autonomous driving. This paper considers the key parameters that enable high resolution and goes on to develop a more systematic approach to vehicular waveform design. Trade-offs between radar performance and selected parameter values are examined to show the impact of key relationships.

引用

页数：8

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