一種基于WiFi的改進型室內(nèi)位置指紋定位方法
發(fā)布時間:2018-07-28 14:31
【摘要】:在室內(nèi)Wi Fi位置指紋定位系統(tǒng)中,由于室內(nèi)環(huán)境的復(fù)雜性及易變性,定位精度很難得到保證。通過實驗測試分析人體對Wi Fi信號的影響以及不同位置設(shè)備接入點數(shù)目的變化情況,本文提出一種在手持設(shè)備的定位系統(tǒng)中增加位置指紋特征以提高定位精度的改進型定位方法。該方法將手持設(shè)備的方向角和接入點數(shù)目這2個位置特征加入位置指紋中,豐富了離線數(shù)據(jù)庫的位置特征。通過對常規(guī)位置指紋庫定位和改進的位置指紋庫定位的測試對比,得出使用改進的位置指紋庫定位可以提高系統(tǒng)的定位精度的結(jié)論。
[Abstract]:Because of the complexity and variability of indoor environment, it is difficult to ensure the precision of indoor Wi Fi position fingerprint location system. The influence of human body on Wi Fi signal and the number of access points in different locations are analyzed by experiment. In this paper, an improved location method is proposed, in which the location fingerprint features are added to the location system of handheld devices to improve the positioning accuracy. In this method, the location features of the handheld device and the number of access points are added to the location fingerprint, which enriches the location features of the off-line database. By comparing the conventional location and the improved location of the fingerprint database, it is concluded that the improved location fingerprint database can improve the positioning accuracy of the system.
【作者單位】: 上海海事大學(xué)科學(xué)研究院;上海海事大學(xué)航運技術(shù)與控制工程交通行業(yè)重點實驗室;
【分類號】:TN92
本文編號:2150532
[Abstract]:Because of the complexity and variability of indoor environment, it is difficult to ensure the precision of indoor Wi Fi position fingerprint location system. The influence of human body on Wi Fi signal and the number of access points in different locations are analyzed by experiment. In this paper, an improved location method is proposed, in which the location fingerprint features are added to the location system of handheld devices to improve the positioning accuracy. In this method, the location features of the handheld device and the number of access points are added to the location fingerprint, which enriches the location features of the off-line database. By comparing the conventional location and the improved location of the fingerprint database, it is concluded that the improved location fingerprint database can improve the positioning accuracy of the system.
【作者單位】: 上海海事大學(xué)科學(xué)研究院;上海海事大學(xué)航運技術(shù)與控制工程交通行業(yè)重點實驗室;
【分類號】:TN92
【相似文獻】
相關(guān)期刊論文 前2條
1 李磊;;基于WIFI指紋定位技術(shù)的應(yīng)用[J];計算機光盤軟件與應(yīng)用;2013年22期
2 ;[J];;年期
相關(guān)碩士學(xué)位論文 前3條
1 周薇;一種高效的指紋庫構(gòu)建方法及其在WiFi定位中的應(yīng)用[D];北京工業(yè)大學(xué);2013年
2 陳斌;基于SVM技術(shù)的室內(nèi)室外定位方法研究與實現(xiàn)[D];北京郵電大學(xué);2015年
3 劉錫婷;快速部署室內(nèi)飛艇定位技術(shù)及算法研究[D];沈陽航空航天大學(xué);2014年
,本文編號:2150532
本文鏈接:http://sikaile.net/kejilunwen/xinxigongchenglunwen/2150532.html
最近更新
教材專著