基于毫米波感知的小型无源物体定位追踪

王宁; 赵科; 周安福; 马华东; 刘建华; 杨宁

doi:10.11959/j.issn.2096-3750.2020.00145

您当前的位置：

首页 >

文章列表页 >

基于毫米波感知的小型无源物体定位追踪

理论与技术 | 更新时间：2024-06-05

- 基于毫米波感知的小型无源物体定位追踪
- Small passive object location tracking based on millimeter-wave sensing
- 物联网学报 2020年4卷第2期页码：105-112
- 作者机构：
  
  1. 北京邮电大学计算机学院，北京 100876
  2. OPPO广东移动通信有限公司，北京 100000
- 作者简介：
  
  [ "王宁（1994- ），男，山西太原人，北京邮电大学计算机学院硕士生，主要研究方向为物联网系统和毫米波感知等" ]
  [ "赵科（1997- ），男，浙江绍兴人，北京邮电大学本科生，主要研究方向为雷达定位和认知无线电等" ]
  [ "周安福（1981- ），男，河南信阳人，北京邮电大学计算机学院教授、博士生导师，主要研究方向为物联网系统和毫米波感知等" ]
  [ "马华东（1964- ），男，河南南阳人，北京邮电大学网络技术研究院执行院长、智能通信软件与多媒体北京市重点实验室主任，主要研究方向为物联网与传感网、多媒体理论与系统等" ]
  [ "刘建华（1979- ），女，山东青岛人，OPPO广东移动通信有限公司高级通信标准工程师，主要研究方向为5G蜂窝通信和毫米波感知等" ]
  [ "杨宁（1981- ），男，陕西西安人，OPPO研究院标准研究部部长、教授级高级工程师，主要研究方向为蜂窝通信和毫米波系统等" ]
- 基金信息：
  
  国家科技重大专项;The National Science and Technology Major Project(2018ZX03001031);中央高校基本科研业务费资助项目;The Fundamental Research Funds for the Central Universities(2019XD-A13);国家自然科学基金资助项目;The National Natural Science Foundation of China(61772084)
- DOI：10.11959/j.issn.2096-3750.2020.00145
  中图分类号： TN929
- 纸质出版日期：2020-06-30，
  
  网络出版日期：2020-06，
- 稿件说明：
移动端阅览
王宁, 赵科, 周安福, 等. 基于毫米波感知的小型无源物体定位追踪[J]. 物联网学报, 2020,4(2):105-112.

NING WANG, KE ZHAO, ANFU ZHOU, et al. Small passive object location tracking based on millimeter-wave sensing. [J]. Chinese journal on internet of things, 2020, 4(2): 105-112.
王宁, 赵科, 周安福, 等. 基于毫米波感知的小型无源物体定位追踪[J]. 物联网学报, 2020,4(2):105-112. DOI： 10.11959/j.issn.2096-3750.2020.00145.

NING WANG, KE ZHAO, ANFU ZHOU, et al. Small passive object location tracking based on millimeter-wave sensing. [J]. Chinese journal on internet of things, 2020, 4(2): 105-112. DOI： 10.11959/j.issn.2096-3750.2020.00145.

摘要

由于毫米波的敏感性极强，物体的微小移动也可以被毫米波所感知，体现为频谱变化，借助此优势提出了一种基于毫米波感知的小型无源物体定位追踪方法，可以实现对目标物体的高精度定位与追踪。与传统的有源物体定位追踪相比，在无源物体定位追踪中，由于目标物体无法主动发射信号且目标物体较小，因此，需要有效的机制区分、分离目标物体的反射信号和背景环境的反射信号，采用多种方法去除背景噪声和突发噪声，实现了良好的定位追踪效果。实验结果表明，所提方法可以追踪一支笔的运动轨迹，其平均误差为0.32 cm。

Abstract

Since the sensitivity of the millimeter-wave is very strong

the tiny movement of the object can also be sensed by the millimeter-wave as a spectrum change.With this advantage

a small passive object location and tracking method based on the millimeter-wave sensing was provided

which could achieve the high-precision positioning and tracking of target objects.Compared with the traditional active object localization tracking

the target object could not actively transmit signals and the target object was small in the passive object localization tracking.Thus

an effective mechanism was needed to distinguish and separate the reflected signal of the target object and the reflected signal of the background environment.A variety of methods were used to remove the background noise and the burst noise

and a good positioning tracking effect was achieved.The experimental results show that the proposed method can track the movement of a pen with an average error of 0.32 cm.

关键词

毫米波感知无源定位小型物体定位追踪背景噪声

Keywords

millimeter-wave sensingpassive locationsmall object positioning and trackingbackground noise

references

孙玉 . 我国物联网产业发展趋势[J]. 物联网学报, 2017,1(3): 1-5.

SUN Y . Development trend of IoT industry in China[J]. Chinese Journal on Internet of Things, 2017,1(3): 1-5.

翟光耀, 陈蓉, 张剑锋 ,等. 基于毫米波雷达和机器视觉信息融合的障碍物检测[J]. 物联网学报, 2017,1(2): 76-83.

ZHAI G Y, CHEN R, ZHANG J F ,et al. Tramway obstacles detection based on information fusion of MMV radar and machine vision[J]. Chinese Journal on Internet of Things, 2017,1(2): 76-83.

叶佳, 罗健威, 郭仪 ,等. 面向毫米波无线接入网的数字型光载无线技术[J]. 物联网学报, 2019,3(4): 17-24.

YE J, LUO J W, GUO Y ,et al. Digital radio over fiber transmission technique for millimeter-wave radio access network[J]. Chinese Journal on Internet of Things, 2019,3(4): 17-24.

邬贺铨 . 物联网技术与应用的新进展[J]. 物联网学报, 2017,1(1): 1-6.

WU H Q . Technology and application progress on Internet of things[J]. Chinese Journal on Internet of Things, 2017,1(1): 1-6.

PU Q, GUPTA S, GOLLAKOTA S ,et al. Whole-home gesture recognition using wireless signals[C]// ACM Sigcomm 2013 Conference. ACM, 201343(4): 485-486.

MELGAREJO P, ZHANG X, RAMANATHAN P ,et al. Leveraging directional antenna capabilities for fine-grained gesture recognition[C]// ACM UbiComp. ACM, 2014: 541-551.

WANG H, SEN S, ELGOHARY A ,et al. No need to war-drive:unsupervised indoor localization[C]// ACM MobiSys. ACM, 2012: 499-500.

SEN S, RADUNOVIC B, CHOUDHURY R R ,et al. You are facing the Mona Lisa:spot localization using PHY layer information[C]// ACM MobiSys. ACM, 2012: 183-196.

LIU H, GAN Y, YANG J ,et al. Push the limit of Wi-Fi based localization for smartphones[C]// ACM MobiCom. ACM, 2012: 305-316.

FANG H . 60 GHz RSS localization with omni-directional and horn antennas[J]. Environmental Pollution ＆ Control, 2010,32(8): 56-61.

ADIB F, KABELAC Z, KATABI D ,et al. 3D tracking via body radio reflections[C]// USENIX NSDI. 2014: 317-329.

WANG J, VASISHT D, KATABI D . RF-IDraw:virtual touch screen in the air using RF signals[C]// ACM Sigcomm. ACM, 2014: 1-4.

YANG L, CHEN Y, LI X Y ,et al. Tagoram:real-time tracking of mobile RFID tags to high precision using COTS devices[C]// ACM MobiCom. ACM, 2014: 237-248.

WEI T, ZHANG X Y . MTrack:high-precision passive tracking using millimeter wave radios[C]// ACM MobiCom. ACM, 2015: 117-129.

PATWARI N, BREWER L, TATE Q ,et al. Breathfinding:a wireless network that monitors and locates breathing in a home[J]. IEEE Journal of Selected Topics in Signal Processing, 2014,8(1): 30-42.

WEI B, VARSHNEY A, HU W ,et al. DRTI:directional radiotomographic imaging[C]// Proceedings of the 14th International Conference on Information Processing in Sensor Networks. IEEE, 2015: 166-177.

HUANG D, NANDAKUMAR R , GOLLAKOTA S . Feasibility and limits of Wi-Fi imaging[C]// ACM SenSys. ACM, 2014: 266-279.

ZHU Y Z, ZHANG Z B, ZHAO B Y ,et al. 60 GHz mobile imaging radar[C]// HotMobile’15. 2015: 75-80.

XU C, FIRNER B, MOORE R S ,et al. SCPL:indoor device-free multi-subject counting and localization using radio signal strength[C]// IPSN’13. IEEE, 2013: 79-90.

NIKITIN P V, MARTINEZ R, RAMAMURTHY S ,et al. Phase based spatial identification of UHF RFID tags[C]// IEEE International Conference on RFID. IEEE, 2010: 102-109.

浏览量

678

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

暂无数据