基于CMMB与WiFi的室内外无缝定位技术研究

发布时间：2018-04-20 15:46

本文选题：无缝定位 + 质心估计　；参考：《辽宁工业大学》2014年硕士论文

【摘要】：近年来在社会生活中，，无缝定位技术的应用得到了广泛的发展，其应用涉及到了安全服务、位置管理与导航等方面，对满足移动通信用户全域定位导航需求、导航定位技术的发展具有重大的意义。移动广播网采用的OFDM调制技术，能够有效地削弱多径效应，具有良好的时间同步测距精度。室内WiFi技术具有信息传输速度快，成本低，定位精度高的优点。结合两者的优势，可以实现CMMB与WiFi的覆盖区域的无缝定位。本文对室内外无缝定位技术进行了研究，研究的主要内容为以下三个方面。首先，分析了室内基于WiFi定位技术的定位原理、定位方法，研究了室外CMMB的信道传播模型、基于TDOA的定位模型及其基本定位算法。在室外定位中提出了一种基于CMMB的TOA/TDOA的融合定位算法，算法利用改进的Taylor算法对TOA的位置估计值与Chan算法对TDOA的估计值进行质心估计，得到最终的估计值。仿真结果表明该算法提高了定位精度，能够有效地抑制NLOS误差，而且算法易于工程实现。其次，分析了WiFi无线电信号传播路径损耗模型，主要是自由空间传播模型、对数-常态分布模型以及简化模型；提出一种基于WiFi接收信号强度的无缝定位区域判定方法。判定方法的核心在于建立一个基于环境损耗系数的阈值函数，使判定方法在任何环境下都能够通过接收的信号强度与阈值的比较来确定目标所在的区域，从而选择合适的定位算法进行有效地定位。最后，研究无缝定位的实现方案与关键技术，针对在室内外交互区的无缝定位，提出了一种CMMB与WiFi的无缝融合定位算法。算法综合CMMB测量得到的TDOA观测数据和WiFi测量得到的RSSI数据，对处于室内外交互区的目标用户进行位置定位。本文针对算法进行了仿真分析，仿真结果表明算法能够实现在室内外交互区的定位，而且组合融合定位算法比单一的定位技术定位精度高。
[Abstract]:In recent years, the application of seamless positioning technology has been widely developed in the social life. Its application involves security services, location management and navigation, and meets the needs of global positioning and navigation of mobile communication users. The development of navigation and positioning technology is of great significance. The OFDM modulation technology used in the mobile broadcasting network can effectively reduce the multipath effect and has a good time synchronous ranging accuracy. Indoor WiFi technology has the advantages of fast information transmission, low cost and high positioning accuracy. Combining the advantages of the two, we can realize the seamless location of the coverage area of CMMB and WiFi. In this paper, the indoor and outdoor seamless positioning technology is studied, the main content of the study is the following three aspects. Firstly, the principle and method of indoor CMMB location based on WiFi technology are analyzed, and the channel propagation model of outdoor CMMB, the location model based on TDOA and its basic localization algorithm are studied. A fusion localization algorithm of TOA/TDOA based on CMMB is proposed in the outdoor location. The improved Taylor algorithm is used to estimate the location of TOA and the Chan algorithm to estimate the centroid of TDOA, and the final estimated value is obtained. The simulation results show that the algorithm improves the positioning accuracy and can effectively suppress the NLOS error, and the algorithm is easy to be implemented in engineering. Secondly, the propagation path loss model of WiFi radio signal is analyzed, including free space propagation model, logarithmic normal distribution model and simplified model, and a method of determining seamless location region based on WiFi received signal strength is proposed. The core of the decision method is to establish a threshold function based on the environmental loss coefficient, so that the decision method can determine the region of the target by comparing the received signal strength with the threshold value in any environment. Thus, the appropriate location algorithm is chosen to locate effectively. Finally, the realization scheme and key technology of seamless positioning are studied, and a seamless fusion localization algorithm of CMMB and WiFi is proposed for the seamless localization in the interaction area between indoor and outdoor. The algorithm combines the TDOA data obtained from CMMB measurement and RSSI data from WiFi measurement to locate the target user in the indoor and outdoor interaction area. The simulation results show that the algorithm can realize the localization in the indoor and outdoor interaction area, and the combined fusion localization algorithm is more accurate than the single localization technology.
【学位授予单位】：辽宁工业大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN934;TN92

【参考文献】