毫米波段随机雨介质等效复折射指数的神经网络模型

Neural network model of the equivalent complex refractive index of random rain media in mm wave band

利用改进的BP算法 ,结合电波传播理论 ,建立了随机雨介质的等效复折射指数的神经网络模型 .利用仿真得到的复折射指数计算了降雨衰减率 ,其结果与测试值基本吻合 .利用神经网络方法来预报离散随机媒质的介电特性是一种有效、简便、可行的方法 ,它可以避免复杂的计算和测量 .

The neural network model of the equivalent complex refractive of random rain media is developed by means of the improved BP algorithm, based on the electromagnetic wave propagation theory. The rain attenuation is computed with the complex refractive index obtained from the simulation, which is in good agreement with the measurements, which shows that the neural network approach is an effective and simple way to get the dielectric property of random discrete medium, avoiding complex computation and measurement.