PANG Lihua, ZHANG Yang, LI Jiandong, LIANG Xiao, WANG Qiaofeng, LIU Xilin. Channel Correlation Analysis by Exploiting Temporal-Spectral-Spatial Information[J]. Chinese Journal of Electronics, 2015, 24(2): 379-387. doi: 10.1049/cje.2015.04.026
Citation: PANG Lihua, ZHANG Yang, LI Jiandong, LIANG Xiao, WANG Qiaofeng, LIU Xilin. Channel Correlation Analysis by Exploiting Temporal-Spectral-Spatial Information[J]. Chinese Journal of Electronics, 2015, 24(2): 379-387. doi: 10.1049/cje.2015.04.026

Channel Correlation Analysis by Exploiting Temporal-Spectral-Spatial Information

doi: 10.1049/cje.2015.04.026
Funds:  This work is supported by the National Natural Science Foundation of China (No.61410475, No.61410187, No.61231008), the Fundamental Research Funds for the Central Universities (No.K5051301034, No.JB140109), the PhD Startup Funds of Xi'an University of Science and Technology (No.2013QDJ046), the Research Culture Funds of Xi'an University of Science and Technology (No.201357), the Natural Science Basic Research Plan in Shaanxi Province, the 111 Project (No.B08038), and the ZTE Corporation (No.CON1307120013).
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  • Corresponding author: ZHANG Yang received the Ph.D. degree in electrical engineering from Xidian University, Xi'an, China, in 2011. During 2009-2010, he was a visiting scholar to the Department of Electrical and Computer Engineering at University of California, Davis. After a startup company at Huawei Technologies, he rejoined Xidian University as a lecturer in 2013. His main area of research includes cooperative communication, resource allocation strategies, network lifetime optimization, and wireless channel modeling. (Email:yangzhang1984@gmail.com)
  • Publish Date: 2015-04-10
  • This paper deals with the modeling, analysis, and measurement of a Small scale fading (SSF) mobile radio channel. The physics of SSF are first reviewed to reveal the generating mechanisms of channel selectivity. A stochastic channel model is then derived as a function of time, antenna array displacement and frequency, which falls in the category of tapped delay line model. Specifically, the taps can be represented as a combination of a possible line of sight or dominant reflected path and a Gaussian distributed component comprised of unresolvable scattered paths. After that, general analytical solutions are provided for the 3D temporal-spectral-spatial correlations of SSF via the exploitation of channel statistical properties. We show that this function can be expressed as the product of three low order temporal, spectral and spatial correlations individually under appropriate assumptions on the associated wireless propagation environment. This will definitely facilitate the derivations of the closed form expression regarding the correlation function of SSF. From engineering perspective, this analysis can be utilized to develop network correlation maps for example. Finally, out field measurement results verify the validity of our theoretical analysis.
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