A Sliding Window Fusion Location Algorithm Based on WI-FI/PDR

被引：1

作者：

Zhou, Ning-Xin ^{[1
]}

Fan, Xin-Yue ^{[1
]}

Xia, Peng-Cheng ^{[1
]}

Zhou, Fei ^{[1
]}

机构：

[1] Chongqing Univ Posts & Telecommun, Sch Commun & Informat Engn, Key Lab Opt Commun & Networks, Chongqing 400065, Peoples R China

来源：

COMMUNICATIONS, SIGNAL PROCESSING, AND SYSTEMS | 2019年 / 463卷

基金：

中国国家自然科学基金;

关键词：

Wi-Fi; PDR; Fusion position; Initial location;

D O I：

10.1007/978-981-10-6571-2_316

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：

In order to improve the accuracy of indoor localization, this paper presents a fusion positioning algorithm using the sliding window method based on Wi-Fi and PDR. The algorithm can not only provide the user's initial position accurately, but also correct the position error of the indoor turning points, so it can correct the cumulative error generated by PDR and improve the positioning accuracy. The experiment results show that the average localization error of the proposed algorithm is lower than Wi-Fi fingerprinting approach and PDR approach. At the same time, the error of turning point has been greatly corrected.

引用

页码：2608 / 2615

页数：8

共 8 条

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