Joint evolutionary spectrum and autoregressive-based approach to modeling non-stationary flat fading channels

被引:2
作者
Wang, Qing [1 ,2 ]
Wu, Dapeng [3 ]
Fan, Pingyi [2 ,4 ]
机构
[1] Coordinat Ctr China CNCERT CC, Natl Comp Network Emergency Response Tech Team, Beijing 100029, Peoples R China
[2] Tsinghua Univ, Dept Elect Engn, Beijing 100084, Peoples R China
[3] Univ Florida, Dept Elect & Comp Engn, Gainesville, FL 32611 USA
[4] Southeast Univ, Natl Mobile Commun Res Lab, Nanjing 210096, Jiangsu, Peoples R China
基金
美国国家科学基金会;
关键词
channel modeling; non-stationary fading; evolutionary spectrum; AR model;
D O I
10.1002/wcm.2201
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Modeling of wireless channels, especially non-stationary fading channels, is important for design and performance analysis of wireless communication systems. Recently, we proposed a new approach to modeling non-stationary fading channels, based on the theory of evolutionary spectrum (ES). In this paper, we develop a time-varying autoregressive (AR) model for a non-stationary flat fading channel; specifically, we develop a method to determine the time-varying coefficients of the AR channel model, given the ES of a non-stationary process. Furthermore, with the ES theory, we develop a trace-driven time-varying AR channel simulator to generate a non-stationary flat fading process. Simulation results show that the ES of the channel gain process produced by our joint ES-and-AR-based channel model agrees well with the user-specified ES, indicating the accuracy of our joint ES-and-AR-based channel model. Copyright (c) 2012 John Wiley & Sons, Ltd.
引用
收藏
页码:472 / 486
页数:15
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