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基于WLAN Probe Request幀的跨平臺(tái)室內(nèi)感知定位方法

發(fā)布時(shí)間:2018-11-21 16:31
【摘要】:越來(lái)越多的運(yùn)營(yíng)商和商家部署WLAN(主要是WiFi),加之LBS服務(wù)的商業(yè)模式日漸清晰,WiFi定位已成為當(dāng)前主流的室內(nèi)定位技術(shù)。而現(xiàn)有WLAN定位技術(shù)需要連接WiFi網(wǎng)絡(luò),才能實(shí)現(xiàn)定位,且需要預(yù)先安裝定位軟件,不能跨平臺(tái),這無(wú)疑增加了定位的繁瑣程度。這在用戶無(wú)法參與定位時(shí)(如火災(zāi)被困、礦難被困等),會(huì)造成無(wú)法估量的后果。因此,研究免WiFi連接、無(wú)需安裝軟件、無(wú)需用戶參與、跨平臺(tái)的室內(nèi)定位方法,便成為亟待解決的難點(diǎn)問(wèn)題。針對(duì)商場(chǎng)、地下停車場(chǎng)等布局復(fù)雜的室內(nèi)環(huán)境,本文提出了一種基于WLAN Probe Request幀的感知定位方法:通過(guò)監(jiān)測(cè)WLAN覆蓋范圍內(nèi)設(shè)備間傳輸?shù)腜robe Request幀,實(shí)現(xiàn)了無(wú)需連接WiFi定位,在此基礎(chǔ)上,利用Web技術(shù)和分布式技術(shù),實(shí)現(xiàn)了無(wú)需安裝定位軟件,跨平臺(tái)定位的目標(biāo)。本論文的主要研究工作如下:(1)本文論述了 WLANProbe Request幀作為室內(nèi)定位指標(biāo)的定位方法及其可行性,通過(guò)對(duì)WLAN Probe Request幀的監(jiān)測(cè)和捕獲,保證了定位元數(shù)據(jù)的獲取實(shí)時(shí)性,實(shí)現(xiàn)了設(shè)備無(wú)需安裝感知軟件實(shí)現(xiàn)定位的目標(biāo)。(2)本文構(gòu)建了基于三邊定位算法的位置解算系統(tǒng),并部署于云端,實(shí)現(xiàn)了設(shè)備無(wú)需安裝位置解算軟件實(shí)現(xiàn)定位的目的。位置解算過(guò)程在云端進(jìn)行,無(wú)需用戶安裝位置解算軟件,定位結(jié)果通過(guò)網(wǎng)絡(luò)傳輸給用戶。(3)本文利用Web技術(shù)和響應(yīng)式方案,將定位系統(tǒng)進(jìn)行了分層解耦,最終形成了待定位設(shè)備無(wú)需連接WiFi、無(wú)需安裝軟件,且跨平臺(tái)的定位方案。定位過(guò)程無(wú)需用戶參與,可用于定位與導(dǎo)航,還可以用于被動(dòng)監(jiān)測(cè)。(4)集成上述研究成果,研發(fā)了基于WLAN探測(cè)幀的跨平臺(tái)室內(nèi)感知定位原型系統(tǒng)。選擇了典型室內(nèi)區(qū)域,從幀捕獲和解析、定位精度分析、應(yīng)用場(chǎng)景、定位設(shè)備無(wú)關(guān)性等方面,開(kāi)展實(shí)驗(yàn)與分析。實(shí)驗(yàn)結(jié)果表明:利用本文定位方法,無(wú)需連接WiFi即可實(shí)現(xiàn)定位,且設(shè)備無(wú)需安裝定位軟件,具備跨平臺(tái)特性,既可用于定位導(dǎo)航,也可用于局部區(qū)域人員監(jiān)測(cè)。
[Abstract]:More and more operators and merchants deploy WLAN (mainly WiFi), and LBS service business model is clear day by day) WiFi positioning has become the mainstream indoor positioning technology. The existing WLAN positioning technology needs to connect to the WiFi network to achieve positioning, and need to install positioning software in advance, can not cross the platform, which no doubt increased the tedious degree of positioning. This can have incalculable consequences when the user is unable to participate in the location (e.g., trapped in a fire, trapped in a mine, etc.). Therefore, it is a difficult problem to solve the problem of WiFi free connection, no software installation, no user participation and cross-platform indoor positioning method. In view of the complex indoor environment such as shopping malls and underground parking lots, this paper proposes a perceptual localization method based on WLAN Probe Request frames: by monitoring the Probe Request frames transmitted between devices within the coverage of WLAN, the location of WiFi without connection is realized. On this basis, using Web technology and distributed technology, the goal of cross-platform positioning without installing localization software is realized. The main research work of this paper is as follows: (1) this paper discusses the localization method and feasibility of WLANProbe Request frame as indoor positioning index. By monitoring and capturing WLAN Probe Request frame, the real-time acquisition of location metadata is ensured. The goal of location is realized without installing perceptual software. (2) in this paper, a location resolution system based on trilateral location algorithm is constructed and deployed in the cloud, which realizes the purpose of location without installation of location software. The location calculation process is carried out in the cloud, and the location result is transmitted to the user through the network without the need to install the location solution software. (3) in this paper, the location system is decoupled by using Web technology and response scheme. Finally, a cross-platform positioning scheme is formed, which does not need to be connected to WiFi, and does not need to install software. The localization process can be used for positioning and navigation without user participation. (4) integrating the above research results, a cross-platform indoor sensing positioning prototype system based on WLAN detection frame is developed. The typical indoor area is selected to carry out experiments and analysis from the aspects of frame capture and analysis, positioning accuracy analysis, application scene, location equipment independence and so on. The experimental results show that the location can be realized by using this method without connecting WiFi, and the equipment does not need to install localization software, and it has cross-platform characteristics, which can be used for location navigation as well as local area personnel monitoring.
【學(xué)位授予單位】:西南交通大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類號(hào)】:TN925.93

【參考文獻(xiàn)】

相關(guān)期刊論文 前5條

1 高仁強(qiáng);張曉盼;熊艷;吳水平;晏磊;;模糊數(shù)學(xué)的WiFi室內(nèi)定位算法[J];測(cè)繪科學(xué);2016年10期

2 李德仁;姚遠(yuǎn);邵振峰;;智慧城市中的大數(shù)據(jù)[J];武漢大學(xué)學(xué)報(bào)(信息科學(xué)版);2014年06期

3 劉經(jīng)南;方媛;郭遲;高柯夫;;位置大數(shù)據(jù)的分析處理研究進(jìn)展[J];武漢大學(xué)學(xué)報(bào)(信息科學(xué)版);2014年04期

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