基于WIFI的室内定位算法研究

Gui-hua Yang, Shiming Fu
{"title":"基于WIFI的室内定位算法研究","authors":"Gui-hua Yang, Shiming Fu","doi":"10.1145/3305275.3305306","DOIUrl":null,"url":null,"abstract":"With the wide application of mobile Internet, location-based service demands are more and more extensive. In the indoor positioning technology, the location fingerprinting method based on WIFI is widely used because of its strong anti-interference ability, high positioning accuracy, long transmission distance and convenient use. The paper adopts the location fingerprint matching and localization algorithm. Firstly, the Gaussian filtering algorithm is applied to process the original data collected by WIFI, and a complete fingerprint database is built off line. Then, the WKNN algorithm is used for position matching to realize indoor position online positioning. The experimental results show that the positioning algorithm used has a significant improvement in positioning accuracy compared with the traditional position fingerprint algorithm.","PeriodicalId":370976,"journal":{"name":"Proceedings of the International Symposium on Big Data and Artificial Intelligence","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Research on Indoor Location Algorithm Based on WIFI\",\"authors\":\"Gui-hua Yang, Shiming Fu\",\"doi\":\"10.1145/3305275.3305306\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the wide application of mobile Internet, location-based service demands are more and more extensive. In the indoor positioning technology, the location fingerprinting method based on WIFI is widely used because of its strong anti-interference ability, high positioning accuracy, long transmission distance and convenient use. The paper adopts the location fingerprint matching and localization algorithm. Firstly, the Gaussian filtering algorithm is applied to process the original data collected by WIFI, and a complete fingerprint database is built off line. Then, the WKNN algorithm is used for position matching to realize indoor position online positioning. The experimental results show that the positioning algorithm used has a significant improvement in positioning accuracy compared with the traditional position fingerprint algorithm.\",\"PeriodicalId\":370976,\"journal\":{\"name\":\"Proceedings of the International Symposium on Big Data and Artificial Intelligence\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-12-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the International Symposium on Big Data and Artificial Intelligence\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3305275.3305306\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the International Symposium on Big Data and Artificial Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3305275.3305306","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

摘要

随着移动互联网的广泛应用,基于位置的服务需求越来越广泛。在室内定位技术中,基于WIFI的位置指纹识别方法因其抗干扰能力强、定位精度高、传输距离远、使用方便等优点被广泛应用。本文采用了位置指纹匹配和定位算法。首先,采用高斯滤波算法对WIFI采集的原始数据进行处理,建立完整的离线指纹数据库。然后,利用WKNN算法进行位置匹配,实现室内位置在线定位。实验结果表明,与传统的位置指纹算法相比,所采用的定位算法在定位精度上有显著提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Indoor Location Algorithm Based on WIFI
With the wide application of mobile Internet, location-based service demands are more and more extensive. In the indoor positioning technology, the location fingerprinting method based on WIFI is widely used because of its strong anti-interference ability, high positioning accuracy, long transmission distance and convenient use. The paper adopts the location fingerprint matching and localization algorithm. Firstly, the Gaussian filtering algorithm is applied to process the original data collected by WIFI, and a complete fingerprint database is built off line. Then, the WKNN algorithm is used for position matching to realize indoor position online positioning. The experimental results show that the positioning algorithm used has a significant improvement in positioning accuracy compared with the traditional position fingerprint algorithm.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信