基于改进椭圆权重模型的射频层析成像定位方法

李莉; 柯炜; 许桁宽; 于坤良; 王彦力

doi:10.11959/j.issn.1000−436x.2018290

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基于改进椭圆权重模型的射频层析成像定位方法

学术通信 | 更新时间：2024-06-05

- 基于改进椭圆权重模型的射频层析成像定位方法
- Radio tomographic imaging localization method based on the improved ellipse weight model
- 通信学报 2018年39卷第12期页码：167-174
- 作者机构：
  
  1. 南通科技职业学院机电与交通工程学院，江苏南通 226007
  2. 南京师范大学物理科学与技术学院江苏省光电技术重点实验室，江苏南京 210023
  3. 江苏省地理信息资源开发与利用协同创新中心，江苏南京 210023
- 作者简介：
  
  [ "李莉（1979−）女，江苏南通人，南通科技职业学院讲师，主要研究方向为无线传感网与无线定位。" ]
  [ "柯炜（1976−），男，江苏南通人，博士，南京师范大学副教授，主要研究方向为无线定位、稀疏信号处理和无线传感网。" ]
  [ "许桁宽（1996−），男，江苏无锡人，主要研究方向为无线定位。" ]
  [ "于坤良（1996−），男，江苏徐州人，主要研究方向为无线定位。" ]
  [ "王彦力（1995−），男，安徽池州人，南京师范大学硕士生，主要研究方向为无线定位。" ]
- 基金信息：
  
  国家重大研究发展项目基金资助项目(No.2017YFB0503500);国家自然科学基金资助项目(No.61405094);江苏省研究生科研创新计划基金资助项目(No.KYCX18_1187);江苏省大学生创新创业训练计划基金资助项目(No.201610319082X)
- DOI：10.11959/j.issn.1000−436x.2018290
  中图分类号： TN911.3
- 网络首发：2018-12，
  
  纸质出版：2018-12-25
- 稿件说明：
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李莉, 柯炜, 许桁宽, 等. 基于改进椭圆权重模型的射频层析成像定位方法[J]. 通信学报, 2018,39(12):167-174.

Li LI, Wei KE, Hengkuan XU, et al. Radio tomographic imaging localization method based on the improved ellipse weight model[J]. Journal on Communications, 2018, 39(12): 167-174.
李莉, 柯炜, 许桁宽, 等. 基于改进椭圆权重模型的射频层析成像定位方法[J]. 通信学报, 2018,39(12):167-174. DOI： 10.11959/j.issn.1000−436x.2018290.

Li LI, Wei KE, Hengkuan XU, et al. Radio tomographic imaging localization method based on the improved ellipse weight model[J]. Journal on Communications, 2018, 39(12): 167-174. DOI： 10.11959/j.issn.1000−436x.2018290.

摘要

射频层析成像（RTI

radio tomographic imaging）技术作为免携带设备定位（DFL

device-free localization）的主要方式之一，在被定位目标不携带任何定位装置的情况下仍能实现定位，具有广泛的应用前景。针对现有 RTI技术中椭圆权重模型的不足，基于菲涅耳衍射理论提出一种改进的椭圆阴影权重模型来提高RTI成像质量，并论证了这种方法的可行性；同时为了克服背景噪点以及伪目标图像的影响，在此基础上提出基于十字模型的前景提取算法，进一步提高RTI定位性能。室内外实验结果表明，该方法的成像质量和定位精度都要优于现有RTI方法。

Abstract

As one of the main methods of device free localization (DFL)

the radio tomographic imaging (RTI) method that can locate a target without attaching any devices has wide application prospects. To overcome the shortcoming of the existing ellipse weight model

based on the Fresnel diffraction theory an improved ellipse weight model was proposed to enhance the imaging quality of RTI and demonstrates the feasibility of this model. Meanwhile

a foreground detection algorithm based on the cross model was proposed to reduce the impact of background noises and pseudo-targets

thereby further improving the imaging quality. The indoor and outdoor experimental results verify that the imaging quality and the positioning accuracy of the proposed method are better than the existing RTI methods.

关键词

Keywords

references

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