摘要
针对飞行模拟训练需求,基于自然云与电磁波束相互作用的统计特性,设计了1种自然云雷达图像仿真方案,给出了多个关键仿真模型的实现方法。通过雷达波束的子波束划分实现雷达波束充塞系数的估算,解决了波束充塞系数计算难度大的问题,并根据云的三维模型设计了雷达回波能量计算模型。通过将三维空间的计算转化到二维平面内以获取雷达波束中心与云团交点位置及参数,以此计算雷达反射率和雷达回波的距离衰减。仿真实验表明:该方法能较好地体现云对回波的衰减效应,以及波束充塞度对远距离云回波计算的影响,具有较好的实时性。
An energy level method for cloud radar image simulation applied to flight training is designed,based on statistical properties of the interaction between natural cloud and radar beams,and several key models are given.To deal with the difficulty in beam filling coefficient calculation,radar beam division and echo energy calculation method on 3D cloud model are adopted.Computation in 3D space is transformed into the 2D plane for calculation of the intersection point of radar beam center and cloud cluster,and radar reflection and distance attenuation are calculated.Experiments show that this method can illustrate the attenuation of echo caused by cloud and the effect of beam filling coefficient on long-range cloud images,and has preferable real-time performance.
作者
余应福
徐涛
方君
YU Yingfu;XU Tao;FANG Jun(Naval Aviation University,Yantai Shandong 264001,China)
出处
《海军航空大学学报》
2022年第5期368-374,共7页
Journal of Naval Aviation University
基金
国家自然科学基金(91538201)
泰山学者工程专项经费基金(ts201511020)。
关键词
雷达仿真
云建模
波束充塞系数
回波模拟
radar simulation
cloud modeling
beam filling coefficient
echo simulation
