基于指纹识别的室内定位无线局域网统计估计分析

2017 IEEE 23rd International Symposium for Design and Technology in Electronic Packaging (SIITME) Pub Date : 2017-10-01 DOI:10.1109/SIITME.2017.8259898

D. Năstac, Florentin Alexandru Iftimie, O. Arsene, Costei Cherciu

{"title":"基于指纹识别的室内定位无线局域网统计估计分析","authors":"D. Năstac, Florentin Alexandru Iftimie, O. Arsene, Costei Cherciu","doi":"10.1109/SIITME.2017.8259898","DOIUrl":null,"url":null,"abstract":"The indoor positioning is a new topic in today's navigation and positioning research fields, which presents quite various challenging issues. A statistical approach to treat Wireless Local Area Network (WLAN) based fingerprinting using Received Signal Strengths (RSS) is described here. This study structures this approach as a time-series of the RSS and position data. Kalman filter is applied in order to improve the position prediction based on the measured RSS signal.","PeriodicalId":138347,"journal":{"name":"2017 IEEE 23rd International Symposium for Design and Technology in Electronic Packaging (SIITME)","volume":"391 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A statistical estimation analysis of indoor positioning WLAN based fingerprinting\",\"authors\":\"D. Năstac, Florentin Alexandru Iftimie, O. Arsene, Costei Cherciu\",\"doi\":\"10.1109/SIITME.2017.8259898\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The indoor positioning is a new topic in today's navigation and positioning research fields, which presents quite various challenging issues. A statistical approach to treat Wireless Local Area Network (WLAN) based fingerprinting using Received Signal Strengths (RSS) is described here. This study structures this approach as a time-series of the RSS and position data. Kalman filter is applied in order to improve the position prediction based on the measured RSS signal.\",\"PeriodicalId\":138347,\"journal\":{\"name\":\"2017 IEEE 23rd International Symposium for Design and Technology in Electronic Packaging (SIITME)\",\"volume\":\"391 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE 23rd International Symposium for Design and Technology in Electronic Packaging (SIITME)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIITME.2017.8259898\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 23rd International Symposium for Design and Technology in Electronic Packaging (SIITME)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIITME.2017.8259898","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 3

摘要

室内定位是当今导航定位研究领域的一个新课题，提出了许多具有挑战性的问题。本文描述了一种使用接收信号强度(RSS)处理基于无线局域网(WLAN)指纹的统计方法。本研究将此方法构建为RSS和位置数据的时间序列。为了改进基于实测RSS信号的位置预测，采用了卡尔曼滤波。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

A statistical estimation analysis of indoor positioning WLAN based fingerprinting

The indoor positioning is a new topic in today's navigation and positioning research fields, which presents quite various challenging issues. A statistical approach to treat Wireless Local Area Network (WLAN) based fingerprinting using Received Signal Strengths (RSS) is described here. This study structures this approach as a time-series of the RSS and position data. Kalman filter is applied in order to improve the position prediction based on the measured RSS signal.

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

2017 IEEE 23rd International Symposium for Design and Technology in Electronic Packaging (SIITME)

自引率

0.00%

发文量