物理学报Issue(6)：060203-1-060203-6,6.DOI:10.7498/aps.63.060203
基于差分平稳时序的Ka波段雨衰预测
Rain attenuation prediction at Ka band based on difference stationary timeseries
摘要
Abstract
To cope with the issue of multi-parameter and intricate calculation of classical models in predicting rain attenuation in Ka band, a method is presented to reduce the complexity by utilizing difference stationary time-series. By this method, a prediction model is established based on the difference transform of leader rain attenuation data, and parameters of stationary time-series are estimated to compute the rain attenuation at each frequency point in Ka band for achieving linear prediction. Simulations show that the prediction precision depends on prediction interval, the number of time-series and the frequency of difference. Compared with Dissanayake-Allaut-Haidara model, the proposed model has a prediction error of less than 10-3 when prediction interval is 0.1 GHz and the number of time-series is 20 with quadratic difference. Furthermore, the simulation results also indicate that the proposed method is simple and practical due to the fact that influence of polarization mode on model parameters may be ignored.关键词
Ka波段/雨衰预测/差分/平稳时序Key words
Ka band/rain attenuation prediction/difference/stationary time-series引用本文复制引用
张轶,达新宇..基于差分平稳时序的Ka波段雨衰预测[J].物理学报,2014,(6):060203-1-060203-6,6.基金项目
国家自然科学基金(批准号:60972042,61271250)资助的课题.@@@@Project supported by the National Natural Science Foundation of China (Grant Nos.60972042,61271250) （批准号:60972042,61271250）
