Frequency modulation about electrical noise effect in Radar application for Autonomous Vehicle Systems

Sung Hoon Kim, Jong Gyu Park
{"title":"Frequency modulation about electrical noise effect in Radar application for Autonomous Vehicle Systems","authors":"Sung Hoon Kim, Jong Gyu Park","doi":"10.23919/ICCAS52745.2021.9649994","DOIUrl":null,"url":null,"abstract":"It has become an important trend to implement Autonomous vehicle systems. Many of OEM's are studying and developing Autonomous system at their own vehicle. It is very attractive promotion point in the market. For Autonomous Vehicle system, many sensor solutions are considered and implemented. Radar application is the most important Sensor solution for Autonomous vehicle systems. In Radar application case, it has robustness in weather condition but electrical noise effect cause very critical issue for object detection and target classification in Radar system. In post processing point of view, It is difficult to detect and classification object in electrical noise situation. Detection and classification performance directly effect to safety of Autonomous vehicle system. Normally, external hardware filter is used to reduce noise on PCB but it has issue about production cost and PCB space increase to assemble filter. Frequency modulation based on spreading is well-known general solution to reduce noise effect in system. In this paper, it suggests frequency modulation method by hardware peripheral of microcontroller and PMIC about electrical noise effect in radar application.","PeriodicalId":411064,"journal":{"name":"2021 21st International Conference on Control, Automation and Systems (ICCAS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 21st International Conference on Control, Automation and Systems (ICCAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ICCAS52745.2021.9649994","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

It has become an important trend to implement Autonomous vehicle systems. Many of OEM's are studying and developing Autonomous system at their own vehicle. It is very attractive promotion point in the market. For Autonomous Vehicle system, many sensor solutions are considered and implemented. Radar application is the most important Sensor solution for Autonomous vehicle systems. In Radar application case, it has robustness in weather condition but electrical noise effect cause very critical issue for object detection and target classification in Radar system. In post processing point of view, It is difficult to detect and classification object in electrical noise situation. Detection and classification performance directly effect to safety of Autonomous vehicle system. Normally, external hardware filter is used to reduce noise on PCB but it has issue about production cost and PCB space increase to assemble filter. Frequency modulation based on spreading is well-known general solution to reduce noise effect in system. In this paper, it suggests frequency modulation method by hardware peripheral of microcontroller and PMIC about electrical noise effect in radar application.
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
自动驾驶汽车雷达中电噪声效应的调频研究
实施自动驾驶汽车系统已成为一个重要趋势。许多原始设备制造商正在研究和开发自动驾驶系统。这是一个很有吸引力的市场推广点。对于自动驾驶汽车系统,许多传感器解决方案被考虑和实施。雷达应用是自动驾驶汽车系统中最重要的传感器解决方案。在雷达应用实例中,它在天气条件下具有鲁棒性,但电噪声对雷达系统的目标检测和目标分类是一个非常关键的问题。从后处理的角度来看,在电噪声情况下对目标进行检测和分类是很困难的。自动驾驶汽车系统的检测和分类性能直接影响到系统的安全性。通常采用外部硬件滤波器来降低PCB上的噪声,但装配滤波器存在生产成本和PCB空间增加的问题。基于扩频的调频是众所周知的降低系统噪声影响的通用解决方案。针对雷达应用中的电噪声影响,提出了采用单片机硬件外设和PMIC调制频率的方法。
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
Meta Reinforcement Learning Based Underwater Manipulator Control Object Detection and Tracking System with Improved DBSCAN Clustering using Radar on Unmanned Surface Vehicle A Method for Evaluating of Asymmetry on Cleft Lip Using Symmetry Plane Average Blurring-based Anomaly Detection for Vision-based Mask Inspection Systems Design and Fabrication of a Robotic Knee-Type Prosthetic Leg with a Two-Way Hydraulic Cylinder
×
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