Research On Data Fitting In Wireless Channel Measurement And Modelling

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.