WIFI Indoor Positioning Algorithm based on Improved Kalman Filtering

被引：9

作者：

Hu Xujian ^{[1
]}

Wang Hao ^{[2
]}

机构：

[1] Peoples Liberat Army China 61773, Urumqi 831400, Xinjiang Uygur, Peoples R China

[2] State Grid Shandong Elect Power Co, Informat & Telecommun Co, Jinan 250000, Shandong, Peoples R China

来源：

2016 INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION, BIG DATA & SMART CITY (ICITBS) | 2017年

关键词：

WIFI indoor positioning; Kalman filtering; particle swarm optimization;

D O I：

10.1109/ICITBS.2016.83

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Indoor positioning technology based on WiFi signal has advantages of wide range of use, low cost, portability and becomes a research hotspot in field of indoor position sensing. On the basis of analyzing and summarizing the existing methods that reduce the influence of errors on location fingerprint algorithm, we propose a kind of improved location fingerprint algorithm. Weighted fuzzy matching algorithm is used to improve positioning accuracy. Then improved Kalman filtering based on particle swarm optimization is used in error correction. The experiment results show that the proposed scheme has lower average error than several traditional methods.

引用

页码：349 / 352

页数：4

共 10 条

[1] Enhanced WiFi localization system based on Soft Computing techniques to deal with small-scale variations in wireless sensors [J].

Alonso, Jose M. ;

Ocana, Manuel ;

Hernandez, Noelia ;

Herranz, Fernando ;

Llamazares, Angel ;

Sotelo, Miguel A. ;

Bergasa, Luis M. ;

Magdalena, Luis .

APPLIED SOFT COMPUTING, 2011, 11 (08) :4677-4691

[2]

Altintas B., 2011, P 17 EUR WIR 2011 SU, P1

[3] Wi-Fi multi-floor indoor positioning considering architectural aspects and controlled computational complexity [J].

Campos, Rafael Saraiva ;

Lovisolo, Lisandro ;

de Campos, Marcello Luiz R. .

EXPERT SYSTEMS WITH APPLICATIONS, 2014, 41 (14) :6211-6223

[4] Hybrid TOA/AOA Geometrical Positioning Schemes Using Linear Lines of Position for Mobile Location [J].

Chen, Chien-Sheng .

IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, 2015, E98A (08) :1676-1679

[5]

DENG ZA, 2011, COMM NETW CHIN CHINA, P257

[6] Indoor Positioning in WLAN Environment Based on Support Vector Regression and Space Partitioning [J].

Deng, Zhian ;

Xu, Yubin ;

Wu, Di .

ADVANCED RESEARCH ON INDUSTRY, INFORMATION SYSTEMS AND MATERIAL ENGINEERING, PTS 1-7, 2011, 204-210 :1599-1602

[7] Wifi bluetooth based combined positioning algorithm [J].

Galvan T, Carlos E. ;

Galvan-Tejada, Issac ;

Ivan Sandoval, Ernesto ;

Brena, Ramon .

INTERNATIONAL MEETING OF ELECTRICAL ENGINEERING RESEARCH 2012, 2012, 35 :101-108

[8]

Hou YY, 2014, P INT CONF NAT COMPU, P1044, DOI 10.1109/ICNC.2014.6975984

[9]

Yongliang Sun, 2009, 2009 2nd International Conference on Power Electronics and Intelligent Transportation System (PEITS 2009), P251, DOI 10.1109/PEITS.2009.5406793

[10] Indoor Fingerprint Localization Based on Fuzzy C-means Clustering [J].

Zhou, Hao ;

Nguyen Ngoc Van .

2014 SIXTH INTERNATIONAL CONFERENCE ON MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION (ICMTMA), 2014, :337-340

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