GNSS World of China

Volume 43 Issue 3
Jun.  2018
Turn off MathJax
Article Contents
Article Navigation >  GNSS World of China  > 2018  >  43(3): 77-81,94
LUO Yufeng, LIU Yanhui, LI Xiaochun. Influence of Sampling Distance on Positioning Accuracy of WiFi Fingerprint Positioning[J]. GNSS World of China, 2018, 43(3): 77-81,94. doi: 10.13442/j.gnss.1008-9268.2018.03.014
Citation: LUO Yufeng, LIU Yanhui, LI Xiaochun. Influence of Sampling Distance on Positioning Accuracy of WiFi Fingerprint Positioning[J]. GNSS World of China, 2018, 43(3): 77-81,94. doi: 10.13442/j.gnss.1008-9268.2018.03.014
shu

Influence of Sampling Distance on Positioning Accuracy of WiFi Fingerprint Positioning

doi: 10.13442/j.gnss.1008-9268.2018.03.014
  • 1.

    1 School of Electrical Engineering & Automation, Henan Polytechnic University, Jiaozuo 454003,China

  • 2 Wuxi nine Yu Architectural Design Institute Co., Ltd, Wuxi 214000, China

  • Publish Date: 2018-09-05
    Abstract
  • On the Android platform, we design and use WiFi signal strength characteristics to locate. The location system in this paper is made up of Android client, Tomecat server and MySQL database.Based on the RSSI WiFi fingerprint positioning in the offline establishment of the fingerprint database by the sampling distance of the impact, the sampling distance can inevitably affect the accuracy of fingerprint positioning. In order to explore the effect of sampling pitch on WiFi fingerprint positioning, the experiment is carried out in the classroom. Select a different sampling interval to carry out WiFi fingerprint positioning, and we measure the positioning accuracy and timeliness as the positioning result. Experiment results show that: in indoor environment, the sampling interval is 3 m，the timeliness is higher and the positioning accuracy can meet the requirements.

     

    • FullText(HTML)
  • loading
    • References(17)
  • [1]
    刘长征. 位置服务系统的研究与实现［D］. 北京：清华大学, 2004.
    [2]
    周国众,夏青. 移动位置服务中增强现实技术的应用［J］. 测绘工程, 2012, 21(5):63-68.
    [3]
    彭宇,王丹. 无线传感器网络定位技术综述［J］. 电子测量与仪器学报. 2011, 25(5): 389-399.
    [4]
    杨波波,张磊. 基于WiFi的室内迭代定位算法的研究［J］. 计算机应用与软件. 2016,33(4): 262-264.
    [5]
    金卫民,神显豪.基于 RSSI 的室外无线传感网络自定位算法［J］.计算机工程,2008,34(13): 89-91.
    [6]
    FANG, S H, LIN T N, LEE K C, A novel algorithm for multipath fingerprinting in indoor WLAN environments. ［J］.IEEE Transactions on Wireless Communications, 2008，7(9): 3579-3588.
    [7]
    LAOUDIAS C, Device self-calibration in location [JP]systems using signal strength histograms［J］.Journal of Location Based Services, 2013,7(3): 165-181.
    [8]
    PAHLAVAN K, LI X, MAKELA J P, Indoor geolocation science and technology［J］. IEEE Press， 2002:112-118.
    [9]
    ZHAI R Y, ZHANG W D, ZHOU Z Y, et al. Trajectory tracking control for micro unmanned aerial vehicles［J］. Advanced Materials Research, 2013(798-799):448-454.
    [10]
    HAN S, WANG J. Integrated GPS／INS navigation system with dual-rate Kalman Filter［J］. GPS Solutions, 2012, 16(3):389-404.
    [11]
    刘少伟,花向红,邱卫宁,等. WiFi指纹定位中AP个数对定位精度的影响［J］. 测绘工程, 2017, 26(2):33-36.
    [12]
    魏恒瑞,王蔚庭. 基于WIFI定位技术的改进型位置指纹识别算法研究［J］. 制造业自动化, 2014(23):148-151.
    [13]
    蒋晓飞. 基于WiFi位置指纹的室内定位算法研究及优化［D］.青岛: 山东科技大学, 2015.
    [14]
    王淑婷. 基于位置指纹的WiFi定位算法研究［D］. 长春:吉林大学, 2015.
    [15]
    罗宇锋,王鹏飞,陈彦峰,等. 基于RSSI测距的WiFi室内定位算法研究［J］. 测控技术, 2017, 10(7):33-36.
    [16]
    李炜,金亮,陈曦. 基于Android平台的室内定位系统设计与实现［C］／／中国智能机器人会议论文， 2013.
    [17]
    徐潇潇,谢林柏,彭力.基于WiFi信号强度特征的室内定位系统设计［J］.计算机工程,2015,41(4):87-91.
    • Relative Articles
    • Supplements(0)
    • Cited By
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索
    Get Citation
    PDF
    XML

    Article Metrics

    Article views (349) PDF downloads(72) Cited by()
    Proportional views
    Related

    Copyright © 2009《 GNSS World of China 》 Editorial Office

    Address：84 Jianshe Dong Lu, Muye District, Xinxiang City, Henan Province, ChinaChina Pos：453000Tel：0373-3712411Fax：0373-3052232Email：qqdwxt@126.com

    Supported by: Beijing Renhe Information Technology Co. Ltd    

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return