Title :
The ARIMA prediction model of rain-induced dynamic attenuation characteristics
Author :
TianCheng Zheng ; Shuhong Gong ; HouBao Shi
Author_Institution :
Sch. of Sci., Xi´dian Univ. N, Xi´an, China
Abstract :
In the paper, the ARIMA model is used for analyzing and forecasting the short-term dynamic characteristics of rain-induced attenuation. In this way, an ARIMA (Autoregressive Integrated Moving Average) model to forecast real-time dynamic rain-induced attenuation is established. The paper also analyses, evaluates and does the spectrum inspection to the model as well as the forecasting results.
Keywords :
atmospheric techniques; autoregressive moving average processes; rain; ARIMA prediction model; autoregressive integrated moving average model; rain-induced dynamic attenuation characteristics; real-time dynamic rain-induced attenuation; short-term dynamic characteristics; spectrum inspection method; Adaptation models; Analytical models; Attenuation; Forecasting; Predictive models; Real-time systems; Time series analysis;
Conference_Titel :
Antennas, Propagation & EM Theory (ISAPE), 2012 10th International Symposium on
Conference_Location :
Xian
Print_ISBN :
978-1-4673-1799-3
DOI :
10.1109/ISAPE.2012.6408839
