Research onIndoor Positioning Based on Fusion of WiFi, PDR and Geomagnetism

SONG Yu; YU Wen-ju; CHENG Chao; WANG Lei

Chinese

您当前的位置：

首页 >

文章列表页 >

Research onIndoor Positioning Based on Fusion of WiFi, PDR and Geomagnetism

更新时间：2026-09-04

- Research onIndoor Positioning Based on Fusion of WiFi, PDR and Geomagnetism
- Vol. 35, Issue 6, Pages: 60-64(2018)
- 作者机构：
  
  长春工业大学机构计算机科学与工程学院,吉林,长春,130012
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2018
- 稿件说明：
移动端阅览
宋宇, 喻文举, 程超, 王磊. 基于WiFi、PDR、地磁相融合的室内定位研究[J]. 微电子学与计算机, 2018, 35(6): 60-64, 68.

SONG Yu, YU Wen-ju, CHENG Chao, et al. Research onIndoor Positioning Based on Fusion of WiFi, PDR and Geomagnetism[J]. 2018, 35(6): 60-64.
宋宇, 喻文举, 程超, 王磊. 基于WiFi、PDR、地磁相融合的室内定位研究[J]. 微电子学与计算机, 2018, 35(6): 60-64, 68. DOI：

SONG Yu, YU Wen-ju, CHENG Chao, et al. Research onIndoor Positioning Based on Fusion of WiFi, PDR and Geomagnetism[J]. 2018, 35(6): 60-64. DOI：

摘要

针对WiFi定位、PDR(行人航迹推算)定位、地磁定位的特点

提出了基于WiFi、PDR、地磁相融合的室内定位方法.所提的融合定位方法首先通过UKF(无迹卡尔曼滤波)算法将WiFi定位及PDR定位的结果进行融合得到一个改善的定位结果

通过实验及仿真验证

所提的融合室内定位方法平均定位误差低至1.41 m

取得了较好的定位精度.

Abstract

In view of the characteristics of WiFi positioning

PDR (pedestrian track calculation) positioning and geomagnetic positioning

an indoor positioning method based on fusion of WiFi

PDR and geomagnetism is proposed. Firstly

the proposed fusion localization approach fuses the results of WiFi localization and PDR localization by UKF (Unscented Kalman Filtering) algorithm

and obtains an improved localization result

then

with the improved positioning result as the center

the size of the range is dynamically controlled by the standard deviation of the error in the improved positioning result and the WiFi positioning result of this time

finally

second positions are made by geomagnetic matching in this range

and the final positioning results are obtained. Through experiments and simulation

the average positioning error of the proposed fusion positioning method is as low as 1.43M

and the positioning accuracy is improved greatly.

关键词

Keywords

references

田丰.基于指纹和PDR的室内定位研究[D].重庆: 重庆大学, 2015.

Zhu J, Luo X, Chen D. Maximum like lihood scheme for finger printing positioning in LTE system[C]//Communication Technology (ICCT), 2012 IEEE 14th International Conferenceon Communication Technology. Piscataway, NJ: IEEE, 2013: 428-432.

Chung J, Donahoe M, Schmandt C, et al. Indoorlocationsensingusinggeo-magnetism[C]// Proceedings of the 9th International Conference on Mobile Systems, Applications, and Services, Bethesda, MD, MobiSys2011, USA: DBLP, 2011: 141-154.

薛洋, 刘龙坡, 金连文.一种基于加速度传感器的实时步长估计方法[P].中国, CN103983273A. 2014.

Xiong K, Zhang H Y, Chan C W. Performance evaluation of UKF-based nonlinear filtering[J]. Automatica, 2006, 42(2): 261-270. DOI: 261

谢宏伟.基于智能手机平台的地磁室内定位系统[D].南京: 南京大学, 2015.

张鹏, 赵齐乐, 李由, 等.基于PDR、WiFi指纹识别、磁场匹配组合的室内行人导航定位[J].测绘地理信息, 2016, 41(3): 29-32. DOI: 29

汪秋婷, 胡修林.基于UKF的新型北斗/SINS组合系统直接法卡尔曼滤波[J].系统工程与电子技术, 2010, 32(2): 376-379. DOI: 376

陈斌涛, 刘任任, 陈益强, 等.动态环境中的WiFi指纹自适应室内定位方法[J].传感技术学报, 2015(5):729-738. DOI: 729

李振宁, 张春, 李永明, 等.基于Wi-Fi的室内定位原型机研究与实现[J].微电子学与计算机, 2017, 34(1): 90-94. DOI: 90

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

A high-efficiency charge pump for ultra-low voltage boost systems

Design of ultra-low power real-time clock circuits

High gain stability high temperature operational amplifier based on reverse body bias

Monte carlo analysis of V-layout trench SiC neutron detector

Steganography model guided by attention mechanism and improved dense convolution

Related Author

No data

Related Institution

No data

AI问答

Postal code：100079
Tel：（010）53879206 Email：tmw@bjxintong.com.cn
Technical support is provided by Beijing Founder electronics co., LTD 京ICP备09082226号-64 京公网安备11010602201714号
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰