第五代移动通信系统传播信道测量、特征提取与建模方法研究

项目名称： 第五代移动通信系统传播信道测量、特征提取与建模方法研究

项目编号： No.61471268

项目类型： 面上项目

立项/批准年度： 2015

项目学科： 无线电电子学、电信技术

项目作者： 尹学锋

作者单位： 同济大学

项目金额： 83万元

中文摘要： 现阶段第五代（5G）移动通信毫米波传播信道特征分析，受到越来越多的关注。本项目针对毫米波宽带信道特点，从实际测量、参数估计、模型提取和仿真应用等方面，寻求整体可行的5G信道研究理论和方法。首次提出的电控可调波束天线与滑动相关相结合的测量方法，能够实现相干时长内完成信道的时-空-频联合采样。为了取代低效的传统多径参数估计算法-SAGE，推出了新的高精度参数提取算法-散射体簇参数估计PECS（Parametric Estimation for Clusters of Scatterers）算法。此外基于PECS提供的散射体位置和其他参数估计值，建立了基于空间散射体簇的新型统计信道建模理论。最后提出传播图和5G信道统计模型相结合的信道实现理论。项目还利用自行搭建的毫米波信道测量系统通过实测数据分析对上述方法进行验证，最终为5G传播信道研究提供切实可行的测量手段、数据分析方法和理论支撑。

中文关键词： 第五代移动通信；毫米波信道特征；信道参数估计；信道统计模型；信道测量

英文摘要： Recently the research on channel characterization for the fifth generation (5G) wireless communications has been paid more and more attentions. In this project, main problems confronted in the 5G channel measurement, parameter estimation, modelling and simulation are investigated. First, a new measurement method is proposed which makes use of voltage-controlled steerable beam antenna and a sliding correlation technique to obtain temporal, spatial and frequency domain observations of a channel within its coherence time. Second, a novel high-resolution parameter estimation algorithm - Parametric Estimation for Clusters of Scatterers (PECS) is derived and applied to substituting the conventional methods such as SAGE and RiMAX. Then, based on the PECS'estimates of scatterers' locations and relevant parameters, we establish a novel statistical model based on the concept of clusters of scatterers. Finally, a new channel simulation method is introduced which utilizes the propagation graph theory to generate random channel realizations based on the established statistical models. An experimental channel sounding system is constructed during the project and used to validate the theory and algorithms proposed. With all these results, a complete set of theories and solutions are provided for the 5G propagation channel measurement, parameter estimation, model extraction and implementation.

英文关键词： 5G Mobile Communication;Millimeter-wave channel characterization;Channel Parameter Estimation;Statistical Channel Models;Channel measurement