DocumentCode :
2133764
Title :
Simulation of rain attenuation time series by ARIMA model
Author :
Ruike Yang ; Li Li ; Zhenwei Zhao ; Yizhi Zhang
Author_Institution :
Sch. of Sci., Xidian Univ., Xian, China
fYear :
2013
fDate :
21-25 July 2013
Firstpage :
304
Lastpage :
307
Abstract :
According to Auto regression moving average theory, the ARIMA model is established based on the E M-B rain time series method and ITU-R rain parameters. The rain attenuation time series are simulated by ARIMA model at Beijing and Haikou area, at 12.5GHz. The probability of the duration time statistical for rain attenuation series of 50 simulative events is analyzed. A comparion among the results of simulated with measured and ITU-R predicted is done at Beijing and Haikou. It is shown that when duration time is smaller than several hundred second, the statistical results simulated by ARIMA are basically in agreement with the results by measuring and ITU-R predicting, but for the longer duration time, the difference among them is obvious. This shows that the ARIMA(3,1,3) model can be applied to the simulation of rain attenuation time series at Beijing and Haikou, but for longer duration time it is required to improve.
Keywords :
autoregressive moving average processes; probability; radiowave propagation; rain; satellite communication; time series; tropospheric electromagnetic wave propagation; ARIMA model; Beijing; E M-B rain time series method; Haikou; ITU-R rain parameters; autoregression moving average theory; frequency 12.5 GHz; probability; rain attenuation time series simulation; ARIMA model; fade statistics; rain attenuation time series;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cross Strait Quad-Regional Radio Science and Wireless Technology Conference (CSQRWC), 2013
Conference_Location :
Chengdu
Type :
conf
DOI :
10.1109/CSQRWC.2013.6657415
Filename :
6657415
Link To Document :
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