ANFIS-based Wireless LAN indoor positioning algorithm

被引：0

作者：

Meng, Weixiao ^{[1
]}

Wang, Jiwei ^{[1
]}

Peng, Lang ^{[1
]}

Xu, Yubin ^{[1
]}

机构：

[1] Harbin Inst Technol, Commun Res Ctr, Harbin 150006, Peoples R China

来源：

2009 5TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-8 | 2009年

关键词：

Indoor positioning; WLAN; Fingerprint; ANFIS;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper presents a Wireless Local Area Networks (WLAN) indoor positioning method based on Adaptive Neuro-Fuzzy Inference System(ANFIS), and improves the problem of decreased positioning accuracy caused by non-line-of-sight dominated transmission in commonly used indoor positioning systems effectively through the Fingerprint method. First of all, the paper analyzes the design principles and mathematical model of ANFIS. Second, it solves the structure identification and parameter identification problems of ANFIS through subtractive clustering method and the BP network optimization algorithm. Finally, the paper makes system simulation based on the experimental data by applying the new method in WLAN indoor environment with the results of small system average error and good generalization ability.

引用

页码：5146 / 5149

页数：4

共 6 条

[1]

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[2]

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[3]

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[4]

Kaemarungsi K, 2004, PROCEEDINGS OF MOBIQUITOUS 2004, P14

[5] An input-output clustering approach to the synthesis of ANFIS networks [J].

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Gallo, AS .

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[6]

Prasithsangaree P, 2002, 13TH IEEE INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR AND MOBILE RADIO COMMUNICATIONS, VOL 1-5, PROCEEDINGS, P720, DOI 10.1109/PIMRC.2002.1047316

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