数字电视地面广播单频网定位系统关键技术研究

项目名称： 数字电视地面广播单频网定位系统关键技术研究

项目编号： No.61302103

项目类型： 青年科学基金项目

立项/批准年度： 2014

项目学科： 无线电电子学、电信技术

项目作者： 颜俊

作者单位： 南京邮电大学

项目金额： 24万元

中文摘要： 现有的定位系统并不能满足日益增长的定位需求，尤其在城市的市区和室内，卫星类定位系统存在着定位盲点。因此基于现有的网络基础设施，开发新的定位系统来弥补卫星类定位系统的缺陷，成为值得探讨的一个重要问题。在申请人前期对数字电视地面广播单频网定位研究的基础上，本项目将野值发现理论和状态预测模型运用到基站识别中，进一步降低基站识别对系统硬件和位置估计算法选择的依赖性。设计基于数字电视信号参数信息和信道参数的位置估计算法，并充分融合所有可能的数字电视广播信号和其他无线电信号资源，构建设计合理、资源利用有效的单频网协同定位系统模型。项目研究将会为大规模部署数字电视地面广播单频网定位系统提供有益的借鉴。

中文关键词： 单频网定位；基站识别；协同定位；压缩感知定位；基站布设

英文摘要： At present, existing positioning systems do not satisfy with the location based services (LBS) requirements. Satellite-based positioning system is less effective especially in urban and indoor environments. So development of new solution based on existing networks is thus of great interest to offset the drawbacks of satellite-based positioning system. Based on our previous works about single frequency networks (SFN) positioning system using digital terrestrial television broadcasting (DTTB) signals, this project would further investigate the base station (BS) identification by the outlier detection theory and the state prediction model. It is expect to decrease the hardware requirement and enlarge the selection of position estimation algorithm. Then it will discuss the position estimation algorithm by integrating the information of digital television (DTV) signal and channel parameters to improve the system performance. In order to use all possible DTV signals and other radio signals for positioning purpose, it will also study the cooperation positioning model of the SFN positioning system for system design rationality and resource utilization efficiency. This project will provide some useful suggestions for large-scale SFN positioning system deployment.

英文关键词： single frequency networks positioning；base station identification；cooperative positioning；compressive sensing based localization；base station placement