Ka-Band Channel Model. Statistical Validation

Author(s):  
D.A. Sanchez Salas ◽  
J.L. Cuevas Ruiz
Author(s):  
Felix Obite ◽  
Jafri Din ◽  
Kamaludin Mohammad Yusof ◽  
Basliza M. Noor

<p>In the last few years, High Altitude Platforms (HAPs) have attracted considerable effort due to their ability to exploit the advantages of satellite and terrestrial-based systems. Rain attenuation is the most dominant atmospheric impairment, especially at such frequency band. This paper addresses the modelling of rain attenuation and describes a propagation channel model for HAPs at Ka-band to provide efficient and robust wireless access for tropical regions. The attenuation due to rain is modeled based on three years measured data for Johor Bahru to estimate the actual effect of rain on signals at Ka band. The radio propagation channel is usually characterized as a random multipath channel. Specifically, a statistical derivation of probability distribution function for Rayleigh and Rician fading channels are presented. The model consists of multiple path scattering effects, time dispersion, and Doppler shifts acting on the HAPs communication link. Simulation results represent the fading signal level variations. Results show perfect agreement between simulation and theoretical, thereby conforming to the multipath structures. The information obtained will be useful to system engineers for HAPs link budget analysis in order to obtain the required fade margin for optimal system performance in tropical regions.</p>


2013 ◽  
Vol 706-708 ◽  
pp. 1786-1789
Author(s):  
Ye Cai Guo ◽  
Tao Yuan ◽  
Xiu Zai Zhang

In the existing Ka-band satellite channel model, the weather condition considered in the modeling are relatively ideal, so it can't be used to the dust storm weather well. In order to establish the satellite channel model under the condition of dust storm weather, the satellite channel propagation characteristic of dust storm weather is analyzed firstly. Secondly, the several states of the satellite channel model in the dust storm weather are divided by fuzzy clustering analysis method. Finally, Ka-Band satellite channel multi-state Markov model based on dust storm weather and shadow multi-path effects is established and simulated. The simulation results show that the proposed Ka-band channel model is very agreeable with the measured data.


2013 ◽  
Vol 77 (2) ◽  
pp. 881-888 ◽  
Author(s):  
Haitao Xu ◽  
Xianwei Zhou
Keyword(s):  

2001 ◽  
Vol 5 (5) ◽  
pp. 194-196 ◽  
Author(s):  
Wenzhen Li ◽  
Choi Look Law ◽  
V.K. Dubey ◽  
J.T. Ong

Author(s):  
Irma Zakia ◽  
◽  
Suhartono Tjondronegoro ◽  
Iskandar Iskandar ◽  
Adit Kurniawan ◽  
...  
Keyword(s):  

2008 ◽  
Vol 4 (3) ◽  
pp. 5-13 ◽  
Author(s):  
P.N. Melezhik ◽  
◽  
V.B. Razskazovskiy ◽  
N.G. Reznichenko ◽  
V.A. Zuykov ◽  
...  
Keyword(s):  

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