WiFi fingerprint database updating based on surface fitting

doi:10.11772/j.issn.1001-9081.2016.05.1192

Journal of Computer Applications ›› 2016, Vol. 36 ›› Issue (5): 1192-1195.DOI: 10.11772/j.issn.1001-9081.2016.05.1192

Previous Articles Next Articles

WiFi fingerprint database updating based on surface fitting

TIAN Zengshan, DAI Haipeng

Institute of Wireless Location and Space Measurement, Chongqing Key Laboratory of Mobile Communications Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China

Received:2015-11-26 Revised:2015-12-31 Online:2016-05-10 Published:2016-05-09

基于曲面拟合的WiFi指纹数据库更新

田增山, 代海鹏

重庆邮电大学移动通信技术重庆市重点实验室无线定位与空间测量研究所, 重庆 400065

通讯作者: 代海鹏
作者简介:田增山(1968-),男,河南信阳人,教授,博士,主要研究方向:个人通信、卫星导航、无线定位、信号检测与估计;代海鹏(1989-),男,河南开封人,硕士研究生,主要研究方向:计算机网络、人工智能、软件工程。

Abstract

Abstract: To solve the problem that the fingerprint database updating requires a huge amount of time and laboring effort, a new Received Signal Strength (RSS) estimation method was proposed in WiFi environment. Part of remeasured RSS fingerprints was used to fit RSS surface by the radial basis function interpolation, the RSSs of the unknown reference points were estimated nearby the known reference points, and then the whole fingerprint database was update. The extensive experiments prove that only a quarter of the reference points need to be remeasured, the cumulative error probability will be similar with the actual database within the positioning error of 2 m, and thus the method guarantees the satisfactory positioning accuracy.

Key words: WiFi positioning, wireless channel, Received Signal Strength (RSS), database updating, radial basis interpolation

摘要： 针对指纹数据库更新需要大量时间和人力开销问题,提出了一种新的WiFi环境下接收信号强度(RSS)的估计方法。即采用径向基函数插值的方法,利用一部分RSS被重新测量的参考点,拟合出接收信号强度曲面,估计出邻近未知参考点RSS值,从而更新指纹数据库。大量实验证明,所提方法只需要测量四分之一的参考点,就能在定位误差为2 m范围内达到与实测数据库相同的累积误差概率,保证了较高定位精度。

关键词: WiFi定位, 无线信道, 接收信号强度, 数据库更新, 径向基插值

CLC Number:

TP391

TIAN Zengshan, DAI Haipeng. WiFi fingerprint database updating based on surface fitting[J]. Journal of Computer Applications, 2016, 36(5): 1192-1195.

田增山, 代海鹏. 基于曲面拟合的WiFi指纹数据库更新[J]. 计算机应用, 2016, 36(5): 1192-1195.

References

[1] 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, 36(23):148-151.(WEI H R, WANG W T. Modified position fingerprint identification algorithm based on WIFI positioning technology research[J]. Manufacturing Automation, 2014, 36(23):148-151.)
[2] 赵爽. 复数神经网络在基于WiFi的室内LBS应用[J]. 大连工业大学学报, 2015, 34(4):300-303.(ZHAO S.Complex neural network application on indoor positioning LBS based on WiFi[J]. Journal of Dalian Polytechnic University, 2015, 34(4):300-303.)
[3] TSUI A W, CHUANG Y H, CHU H H. Unsupervised learning for solving RSS hardware variance problem in WiFi localization[J]. Mobile Networks and Applications, 2009, 14(5):677-691.
[4] KOWEERAWONG C, WIPUSITWARAKUN K, KAEMARUNGSI K. Indoor localization improvement via adaptive RSS fingerprinting database[C]//Proceedings of the 2013 International Conference on Information Networking. Piscataway, NJ:IEEE, 2013:412-416.
[5] PENG L, HAN J, MENG W, et al. Research on radio-map construction in indoor WLAN positioning system[C]//Proceedings of the 20101st International Conference on Pervasive Computing Signal Processing and Applications. Piscataway, NJ:IEEE, 2010:1073-1077.
[6] KAEMARUNGSI K, KRISHNAMURTHY P. Analysis of WLAN's received signal strength indication for indoor location fingerprinting[J]. Pervasive and Mobile Computing, 2012, 8(2):292-316.
[7] XU C, TAO D, XU C. Multi-view learning with incomplete views[J]. IEEE Transactions on Image Processing, 2015, 24(12):5812-5825.
[8] DUVALLET F, TEWS A D. WiFi position estimation in industrial environments using Gaussian processes[C]//Proceedings of the 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems. Piscataway, NJ:IEEE, 2008:2216-2221. BackgroundTIAN Zengshan, born in 1968, Ph. D., professor. His research interests include personal communications, satellite navigation, wireless localization, signal detection and estimation.DAI Haipeng, born in 1989, M. S. candidate. His research interests include computer networks, artificial intelligence, software engineering.

WiFi fingerprint database updating based on surface fitting

基于曲面拟合的WiFi指纹数据库更新

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 2

Recommended Articles

Metrics

[1]	DING Jianli, MU Tao, WANG Huaichao. Fast indoor positioning algorithm of airport terminal based on spectral regression kernel discriminant analysis [J]. Journal of Computer Applications, 2019, 39(1): 256-261.
[2]	XIE Bin, CHEN Bo, LE Honghao. Improved linear minimum mean square error channel estimation algorithm based on orthogonal frequency division multiplexing [J]. Journal of Computer Applications, 2015, 35(11): 3265-3269.