Improving High Speed Railway Measured Channel Parameters Centered at 2.6 GHz with the De-noise Application Based on Wavelet Transform

2014 ◽  
Vol 11 (1) ◽  
pp. 161-169
Author(s):  
Deshui Yu
2012 ◽  
Vol 2012 ◽  
pp. 1-6 ◽  
Author(s):  
Binghao Chen ◽  
Zhangdui Zhong

The geometry-based stochastic channel models are proposed in this paper for the terrain cutting, suburb, and urban scenarios in high-speed railway. First, the special scenarios in high-speed railway are described. And the channel models based on the geometry scenarios are introduced. Some channel parameters are based on measurement data. Then, the space-time correlation functions in analytical form are obtained in suburb and urban scenarios. Finally, the space correlation characteristics in three scenarios are compared.


2012 ◽  
Vol 132 (10) ◽  
pp. 673-676
Author(s):  
Takaharu TAKESHITA ◽  
Wataru KITAGAWA ◽  
Inami ASAI ◽  
Hidehiko NAKAZAWA ◽  
Yusuke FURUHASHI

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