项目名称： 基于射频传感网的室内定位关键技术研究

项目编号： No.61472312

项目类型： 面上项目

立项/批准年度： 2015

项目学科： 自动化技术、计算机技术

项目作者： 杜军朝

作者单位： 西安电子科技大学

项目金额： 83万元

中文摘要： 本课题从基本理论、算法设计和实验验证角度，研究基于射频传感网的室内定位关键科学技术问题，包括：1）针对装配电子罗盘与加速度传感器的无线智能设备，研究如何综合射频网络和设备传感器的定位问题，设计和实现算法来提高定位精度、减少构建定位系统的工作量。拟采用行人航迹推算技术、群智技术和基于自学习的室内地标校准技术解决定位问题。2）若无线定位设备可提供射频芯片物理层CSI信息，研究如何利用CSI来精确测量移动设备和射频网参考点的距离和角度，从而提高定位精度和降低能耗。拟采用直接路径能量法消除无线多径传输对测距的影响和采用AOA技术与位移检测结合算法测定角度。3）针对未携带定位设备的定位目标，研究如何仅利用射频传感网构建射频场模型、射频信号测量模型和定位模型。拟采用射频断层成像技术和雷达领域ISAR技术来定位目标。该课题的研究成果对移动互联网LBS服务、灾难救助和反恐类应用提供关键技术支持。

中文关键词： 射频传感网；室内定位；行人航迹推算；物理层CSI；射频断层成像

英文摘要： In this proposal, we investigate key problems and techniques of indoor localization based on RF sensor networks. We first study the localization model based on wireless sensor devices in a RF sensor network setting. The goal is to design and implement advanced algorithms such as PDR, crowdsourcing, and self-learning landmark to maximize accuracy and minimize the complexity. We then further our study into the physical layer of RF signals, and investigate the use of CSI to measure the distance and angle between the device and reference point for improving both accuracy and energy saving. The method of the direct path energy is used to mitigate the effects of multipath propagation. The combination of AOA technique and the measurement of displacement is used to calculate the angle. Finally, we look into the device-free localization problem. We will investigate several novel models including an RF field model, a measure model and a localization model. Radio tomographic imaging and ISAR technique in RADAR field are to be used. The research outcomes of this proposal will strategically promote mobile applications for Location Based Services, emergency response and national safety.

英文关键词： RF Sensor Networks;Indoor Localization;PDR;CSI of Physical Layer;Radio Tomography