【作者】 黄俊然；

【导师】 杨晋生；

【作者基本信息】 天津大学 ， 通信与信息系统， 2010， 硕士

【摘要】 本文研究的内容是国家重大专项《新一代宽带无线移动通信网》中的课题：电波测量与信道建模技术研究的一部分。研究的重点是无线信道的测量与建模,并针对实际测量得到的数据的拟合以及如何根据结果对测量和建模的过程进行有效的优化这一问题做了深入的讨论。在文中简要介绍了WINNER2信道模型和协同MIMO信道模型。首先给出了WINNER2模型中的13个场景和场景中参数的统计分布信息,还说明了WINNER2信道模型的建模方法和有关参数。接着介绍了协同MIMO系统的实现方案CoMP技术、固定中继技术和移动中继技术,并阐述了相应的传播场景。并将协同MIMO信道模型与现有的点到点MIMO信道模型的优缺点进行比较,讨论在协同MIMO信道情况下,如何对现有模型进行调整。然后对SAGE算法的传播环境模型、算法原理和实现方法做了简要的说明并验证SAGE算法估计出的结果的准确性。最后利用Matlab平台,结合路径损耗和时延扩展的实际测量数据,对它们进行拟合,并分别分析和比较各个拟合的结果。在拟合时注意选取了不同的拟合模型,可以保证拟合结果的一般性。得出了样本容量小的样本也同样可以反映全体数据的分布的参数特征。即可以通过减少信道测量的数据量也能比较准确地得到信道的统计特性。最后根据这些结果,说明了可以有效降低信道测量和仿真复杂度和开销的方法。更多还原

【Abstract】 The research of this paper is part of the national major projects:New Generation of Broadband Wireless Mobile Communication Network, subject:Radio Channel Measurements and Modelling. My research focuses on the wireless channel measurement and modelling, using measurement data to obtain the patrameters by the fitting and how to optimize the measurement and modelling process effectively based on the fitting results. In the article, a brief introduction WINNER2 channel model and cooperative MIMO channel model. First, all the 13 scenarios and the statistical distribution of parameters in WINNER2 channel model is shown, but also gives the WINNER2 channel modelling methods and parameters. Then introduced the cooperative MIMO system implementations:CoMP technology, fixed relay and mobile relay technology, and described the envirnments of the corresponding scenarios. A comparison was made between cooperative MIMO channel model and the existing point to point MIMO channel model to discuss the advantages and disadvantages, and how to adjust the existing model so it can be used in the cooperative condition. Then made a brief description about the SAGE algorithm’s spread environment, the algorithm principle and implementation. And check the accuracy of the estimation results using SAGE algorithm. Ultimately, fitted the measurement data combined path loss and delay spread model with Matlab, and each of the fitting results was analyzed and compared. The conclusion is we can achieve the distribution and the characters of the parameters with a smaller set of sample. It means that the statistical characteristics of the channel can be described accurately by a simplized size of the data set. Finally, these results illustrate that we can effectively reduce the complexity of measurement and simulation methods and expenses.更多还原