摘要
为预测站点分集系统中雨衰带来的影响,针对阿基米德Copula模型计算量大、预测不够准确等问题,运用高斯Copula函数模型对站点分集联合雨衰进行评估.该模型利用高斯Copula函数描述两站点联合雨衰情况,结合我国站点实际数据进行分集站点联合雨衰预测.仿真结果表明,相对于ITU模型,与阿基米德Copula模型相比,该模型不需要计算单个站点的雨衰值,其计算精度提高了2%以上,更具有实用价值.
In order to predict the influence of rain attenuation in the station diversity system, and in view of the large computational complexity and inaccurate prediction of Archimedes Copula model, this paper uses Gauss Copula function model to evaluate station diversity and rain attenuation. The model employs the Gauss Copula function to describe the two sites with rain attenuation, and combines with the actual data of China's sites to predict the rain attenuation of the diversity site. Simulation results show that, compared with the ITU model, the proposed one without need to calculate the rain attenuation value of a single site, is simpler and more accurate than Archimedes Copula model, and the accuracy is increased by more than 2%, thus having more practical value.
出处
《空军预警学院学报》
2017年第5期365-369,共5页
Journal of Air Force Early Warning Academy
关键词
卫星通信
雨衰
站点分集系统
高斯Copula模型
satellite communication
rain attenuation
station diversity system
Gauss Copula model
