Anti-interference waveform design for automotive radar

Xiao Yang, K. Zhang, Ting Wang, Yongjun Zhao
{"title":"Anti-interference waveform design for automotive radar","authors":"Xiao Yang, K. Zhang, Ting Wang, Yongjun Zhao","doi":"10.1109/IAEAC.2017.8053967","DOIUrl":null,"url":null,"abstract":"With the increasing amount of car equipped with collision avoidance radar, the mutual interference is becoming a problem when the cars run in the roads. The mutual interference cancellation techniques are getting more and more important to preserve the reliability of the automotive radar. Considering conventional radar with frequency agile, this paper proposes a new signal design method for automotive radar that uses combination from a fixed number of constant frequency and triangular frequency modulation waveform, and the constant frequency and triangle wave slope random change. This way can most suppress mutual interference between automotive radar. This paper analyzes the waveform random combination method and the principle of waveform design. The results demonstrate that this method can not only realize the function of the vehicle collision avoidance radar multi-target detection, and also can effectively reduce the false alarm rate resulting from mutual interference.","PeriodicalId":432109,"journal":{"name":"2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IAEAC.2017.8053967","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

Abstract

With the increasing amount of car equipped with collision avoidance radar, the mutual interference is becoming a problem when the cars run in the roads. The mutual interference cancellation techniques are getting more and more important to preserve the reliability of the automotive radar. Considering conventional radar with frequency agile, this paper proposes a new signal design method for automotive radar that uses combination from a fixed number of constant frequency and triangular frequency modulation waveform, and the constant frequency and triangle wave slope random change. This way can most suppress mutual interference between automotive radar. This paper analyzes the waveform random combination method and the principle of waveform design. The results demonstrate that this method can not only realize the function of the vehicle collision avoidance radar multi-target detection, and also can effectively reduce the false alarm rate resulting from mutual interference.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
汽车雷达抗干扰波形设计
随着配备防撞雷达的汽车越来越多,汽车在道路上行驶时的相互干扰成为一个问题。相互干扰消除技术对于保证汽车雷达的可靠性显得越来越重要。针对传统雷达的频率捷变问题,提出了一种新的汽车雷达信号设计方法,即用固定数量的恒频和三角形调频波形组合,利用恒频和三角形波形斜率随机变化。这种方式可以最大程度地抑制汽车雷达之间的相互干扰。本文分析了波形随机组合的方法和波形设计的原理。结果表明,该方法既能实现车辆避碰雷达多目标检测功能,又能有效降低因相互干扰而产生的虚警率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A novel video detection design based on modified adaboost algorithm and HSV model Robustness analysis for rotorcraft pilot coupling with helicopter flight control system in loop Research on text categorization model based on LDA — KNN Commented content classification with deep neural network based on attention mechanism A 10bit 40MS/s SAR ADC in 0.18μm CMOS with redundancy compensation
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1