本文選題：室內定位 + 無線傳感器網絡�。� 參考：《華東師范大學》2015年碩士論文

【摘要】：隨著移動互聯網技術的蓬勃發(fā)展,基于位置的服務(Location Based Services, LBS)越來越成為人們生活中必不可少的需求。其中定位技術,即位置信息的獲取,是實現基于位置的服務的必要前提和關鍵。衛(wèi)星導航系統已經廣泛應用于室外的LBS中,但是由于衛(wèi)星信號無法穿透墻壁等障礙物,使用衛(wèi)星導航系統無法實現室內準確定位,制約了室內LBS的發(fā)展�；跓o線傳感器網絡的室內定位技術正好彌補了GPS室內定位的不足,可以為地下停車場等場所提供實時的位置和導航信息。目前,已有的室內無線定位技術大多需要額外的硬件設備,定位成本高,不易于推廣�；诮邮招盘枏姸戎甘�(Received Signal Strength Indicator, RSSI)的定位技術不需要添加額外設備,其中RSSI可直接在無線通信過程中獲得。因此基于RSSI的定位技術成為室內定位研究的首選方案。本文在對無線傳感器網絡定位算法深入分析的基礎上,對基于RSSI的定位算法,即基于RSSI測距的定位算法和基于特征指紋的定位算法分別開展了系統地調查與研究。本文的研究內容和主要貢獻歸納如下：(1)在對信號傳播模型研究的基礎上,提出基于RSSI的自適應分段曲線擬合室內定位算法。通過實驗驗證本文提出的改進算法擁有更好的定位精度和更好的環(huán)境適應性。(2)研究現有基于特征指紋的定位算法。將定位過程劃分為四個階段,分別討論定位各階段原始RSSI預處理方法、求解近鄰量度、k近鄰選擇和位置坐標確定方法對室內定位精度的影響,確定適合當前室內環(huán)境的最優(yōu)定位算法。(3)設計基于無線傳感網的定位算法可供選擇的室內定位原型系統。實驗結果表明改進后的基于RSSI定位算法和優(yōu)化后的基于特征指紋的定位算法具有更高的定位精度。
[Abstract]:With the rapid development of mobile Internet technology, location Based Services, LBS) has become an indispensable requirement in people's daily life. Location technology, that is, the acquisition of location information, is the necessary prerequisite and key to realize location-based services. Satellite navigation system has been widely used in outdoor LBS, but because satellite signal can not penetrate obstacles such as walls, the use of satellite navigation system can not achieve accurate indoor positioning, which restricts the development of indoor LBS. The indoor location technology based on wireless sensor network can make up for the deficiency of GPS indoor location, and can provide real-time location and navigation information for underground parking and other places. At present, most of the existing indoor wireless positioning technology need additional hardware equipment, positioning cost is high, it is difficult to be popularized. The location technique based on received signal strength indication received Signal Strength Indicator, RSSI) does not need to add additional equipment, where RSSI can be obtained directly during wireless communication. Therefore, positioning technology based on RSSI has become the first choice of indoor positioning research. Based on the deep analysis of wireless sensor network localization algorithm, this paper makes a systematic investigation and research on the location algorithm based on RSSI, that is, the location algorithm based on RSSI ranging and the location algorithm based on characteristic fingerprint. The research contents and main contributions of this paper are summarized as follows: (1) based on the research of signal propagation model, an adaptive segmented curve fitting indoor localization algorithm based on RSSI is proposed. Experimental results show that the improved algorithm has better localization accuracy and better environmental adaptability.) the existing localization algorithms based on feature fingerprint are studied. The positioning process is divided into four stages, and the original RSSI pretreatment method for each stage is discussed respectively, and the influence of nearest neighbor measurement and location coordinate determination method on indoor positioning accuracy is solved. To determine the optimal location algorithm suitable for the current indoor environment, the prototype system of indoor location based on wireless sensor network is designed. The experimental results show that the improved localization algorithm based on RSSI and the optimized algorithm based on feature fingerprint have higher localization accuracy.
【學位授予單位】：華東師范大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：TP212.9;TN929.5

【參考文獻】

相關期刊論文 前1條

1 曹沖;;衛(wèi)星導航系統及產業(yè)現狀和發(fā)展前景研究[J];全球定位系統;2009年04期

相關碩士學位論文 前1條

1 沈陽;基于指紋的無線室內定位中接入點選擇算法研究[D];浙江大學;2014年

，

本文編號：1981081