利用多普勒雷达实现运动自动检测和距离测量

{"title":"利用多普勒雷达实现运动自动检测和距离测量","authors":"","doi":"10.30534/ijeter/2023/011172023","DOIUrl":null,"url":null,"abstract":"The proposed device is a versatile and multi-functional system that uses an HB100 Doppler radar sensor and Arduino microcontroller to detect motion, measure velocity, and distance. The device is capable of detecting motion in real- time, measuring the velocity of the object, and calculating the distance between the object and the sensor. The HB100 Doppler radar sensor emits a microwave signal that reflects off the object and returns to the sensor. By analyzing the changes in frequency of the reflected signal, the radar can determine the speed and direction of the object. The sensor is connected to an Arduino microcontroller, which receives the digital signal from the sensor and processes it to determine the presence, velocity, and distance of the object. The proposed device offers several benefits, including increased accuracy and efficiency compared to other motion detection systems. The device can be used in a variety of applications, such as security systems, traffic monitoring systems, and industrial automation. The device's ability to detect motion, measure velocity, and calculate distance can also be used to monitor and analyze data for further applications.","PeriodicalId":13964,"journal":{"name":"International Journal of Emerging Trends in Engineering Research","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Automatic Motion Detection and Distance Measure Using Doppler Radar\",\"authors\":\"\",\"doi\":\"10.30534/ijeter/2023/011172023\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The proposed device is a versatile and multi-functional system that uses an HB100 Doppler radar sensor and Arduino microcontroller to detect motion, measure velocity, and distance. The device is capable of detecting motion in real- time, measuring the velocity of the object, and calculating the distance between the object and the sensor. The HB100 Doppler radar sensor emits a microwave signal that reflects off the object and returns to the sensor. By analyzing the changes in frequency of the reflected signal, the radar can determine the speed and direction of the object. The sensor is connected to an Arduino microcontroller, which receives the digital signal from the sensor and processes it to determine the presence, velocity, and distance of the object. The proposed device offers several benefits, including increased accuracy and efficiency compared to other motion detection systems. The device can be used in a variety of applications, such as security systems, traffic monitoring systems, and industrial automation. The device's ability to detect motion, measure velocity, and calculate distance can also be used to monitor and analyze data for further applications.\",\"PeriodicalId\":13964,\"journal\":{\"name\":\"International Journal of Emerging Trends in Engineering Research\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-07-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Emerging Trends in Engineering Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.30534/ijeter/2023/011172023\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Emerging Trends in Engineering Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.30534/ijeter/2023/011172023","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 0

摘要

所提出的设备是一个多功能的多功能系统,使用HB100多普勒雷达传感器和Arduino微控制器来检测运动、测量速度和距离。该设备能够实时检测运动,测量物体的速度,并计算物体与传感器之间的距离。HB100多普勒雷达传感器发射微波信号,该信号从物体反射并返回传感器。通过分析反射信号频率的变化,雷达可以确定物体的速度和方向。传感器连接到Arduino微控制器,该微控制器接收来自传感器的数字信号并对其进行处理,以确定物体的存在、速度和距离。所提出的设备提供了几个优点,包括与其他运动检测系统相比提高了精度和效率。该设备可用于各种应用,如安全系统、交通监控系统和工业自动化。该设备检测运动、测量速度和计算距离的能力也可用于监测和分析数据,以供进一步应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Automatic Motion Detection and Distance Measure Using Doppler Radar
The proposed device is a versatile and multi-functional system that uses an HB100 Doppler radar sensor and Arduino microcontroller to detect motion, measure velocity, and distance. The device is capable of detecting motion in real- time, measuring the velocity of the object, and calculating the distance between the object and the sensor. The HB100 Doppler radar sensor emits a microwave signal that reflects off the object and returns to the sensor. By analyzing the changes in frequency of the reflected signal, the radar can determine the speed and direction of the object. The sensor is connected to an Arduino microcontroller, which receives the digital signal from the sensor and processes it to determine the presence, velocity, and distance of the object. The proposed device offers several benefits, including increased accuracy and efficiency compared to other motion detection systems. The device can be used in a variety of applications, such as security systems, traffic monitoring systems, and industrial automation. The device's ability to detect motion, measure velocity, and calculate distance can also be used to monitor and analyze data for further applications.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
70
期刊最新文献
An Effective Data Fusion Methodology for Multi-modal Emotion Recognition: A Survey The Transformative Role of Microsoft Azure AI in Healthcare Low Costs Electrical Calibration System of SLM with the Uncertainty Measurements Compared with Primary System Platform Brūel & Kjær type 3630 Analytical Model of a New Acoustic Conductor Lined with Linear Increasing Perforated Area Enhanced Sleep Quality Through Light Modulation IoT-Based Approach ESP32 with Philips Hue Integration
×
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