【摘要】：信息技術(shù)的高速發(fā)展改變了人們生活習(xí)慣，近年來，人們對基于位置服務(wù)的需求越來越強烈。GPS技術(shù)的成熟應(yīng)用雖然能夠滿足人們對室外定位的各種需求，，然而由于GPS信號穿透能力差無法適用于室內(nèi)環(huán)境，因此近年來大量科研人員提出了基于紅外線、超聲波、UWB、RFID和RSSI等技術(shù)的室內(nèi)定位解決方案，這些方案在一定程度上解決了室內(nèi)定位相關(guān)課題的一部分問題，但是他們對室內(nèi)多個目標(biāo)缺乏有效的解決方式。因此，探索一種新的技術(shù)用于解決室內(nèi)定位，特別是對多目標(biāo)進行處理，具有非常重要的意義和實用價值。 本文對現(xiàn)有室內(nèi)定位解決方案進行深入研究，歸納總結(jié)了室內(nèi)定位技術(shù)常用物理特性和方法，并對他們的優(yōu)缺點進行了分析比較。提出一種基于CSI的被動式室內(nèi)定位和目標(biāo)計數(shù)解決方案，本文主要貢獻和創(chuàng)新為： （1）分析現(xiàn)有室內(nèi)定位所使用的技術(shù)，根據(jù)其技術(shù)特點指出這些方案的不足。 （2）定制Toshiba L311筆記本電腦和Intel5300無線網(wǎng)卡驅(qū)動搭建實驗環(huán)境，通過實驗分析比較CSI和RSSI的性質(zhì)特點，證明CSI比RSSI更適用于室內(nèi)定位相關(guān)課題的研究，并基于CSI提出一種被動式室內(nèi)定位與目標(biāo)計數(shù)方案。 （3）室內(nèi)定位問題可分解為目標(biāo)探測、目標(biāo)定位和目標(biāo)識別三個子問題。本文利用EWMA算法解決目標(biāo)探測問題；基于Fingerprint實現(xiàn)目標(biāo)定位；利用鏈路相關(guān)性，提出一種不基于目標(biāo)識別的室內(nèi)目標(biāo)計數(shù)方法，為研究室內(nèi)多目標(biāo)定位相關(guān)課題提供了新的思路與啟發(fā)。 （4）分析EWMA算法不同參數(shù)設(shè)置方式對目標(biāo)探測準(zhǔn)確率的影響，得到一組適用大部分室內(nèi)環(huán)境的EWMA參數(shù)值。 （5）利用Java對本文方案進行仿真，分析影響性能的干擾因素，通過多組參數(shù)對本文方案進行性能評估。
[Abstract]:The rapid development of information technology has changed people's living habits. In recent years, the demand for location-based services is becoming stronger and stronger. The mature application of GPS technology can meet the needs of outdoor positioning. However, due to the poor penetration ability of GPS signals, many researchers have put forward indoor positioning solutions based on infrared, ultrasonic and RSSI technologies in recent years. To some extent, these schemes solve some problems related to indoor positioning, but they lack effective solutions to many indoor targets. Therefore, it is of great significance and practical value to explore a new technique to solve indoor positioning, especially to deal with multiple targets. In this paper, the existing indoor positioning solutions are deeply studied, the common physical characteristics and methods of indoor positioning technology are summarized, and their advantages and disadvantages are analyzed and compared. A passive indoor positioning and target counting solution based on CSI is proposed. The main contributions and innovations of this paper are as follows: (1) analyzing the existing indoor positioning technologies, According to its technical characteristics, the shortcomings of these schemes are pointed out. (2) Toshiba L311 notebook computer and Intel5300 wireless network card driver are customized to build the experimental environment, and the characteristics of CSI and RSSI are analyzed and compared through experiments. It is proved that CSI is more suitable than RSSI for the research of indoor positioning related subjects, and a passive indoor positioning and target counting scheme based on CSI is proposed. (3) the indoor positioning problem can be decomposed into target detection. There are three sub-problems of target location and target recognition. In this paper, EWMA algorithm is used to solve the problem of target detection, Fingerprint is used to realize target location, and link correlation is used to propose an indoor target counting method, which is not based on target recognition. It provides a new idea and inspiration for the research of indoor multi-target localization. (4) the influence of different parameter setting methods of EWMA algorithm on the accuracy of target detection is analyzed. A set of EWMA parameters suitable for most indoor environments is obtained. (5) the scheme is simulated by Java, the interference factors affecting the performance are analyzed, and the performance of the scheme is evaluated by multiple sets of parameters.
【學(xué)位授予單位】：杭州電子科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TN92

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