基于改进混合对数正态分布模型的隐身飞机动态RCS统计特性分析

Dynamic RCS statistical characteristics analysis of stealth aircraft based on improved hybrid lognormal distribution model

针对经典模型描述复杂航迹情况下的隐身飞机动态雷达散射截面(radar cross section, RCS)统计分布特性精度不足的问题,提出一种精度更高、拟合效果更好的改进混合对数正态分布模型。首先,基于目标电磁散射数据建立隐身飞机静态RCS数据库。其次,结合实战过程中隐身飞机的运动规律,对其进行复杂机动航迹建模,解算得到动态RCS序列。最后,利用典型统计分布模型及改进混合对数正态分布模型分别对目标的RCS特性进行统计分析。仿真结果表明,与典型统计分布模型相比,混合对数正态分布模型对隐身飞机的RCS双峰特征拟合效果更好,拟合精度更高,K-S的检测结果降低到30%以下。

Aiming at the problem that the classical model is not accurate enough to describe the statistical distribution characteristics of dynamic radar cross section(RCS) of stealth aircraft under complex track, an improved hybrid lognormal distribution model with higher accuracy and better fitting effect is proposed. Firstly, the static RCS database of stealth aircraft is established based on the target electromagnetic scattering data. Secondly, combined with the motion law of stealth aircraft in actual combat, the complex maneuvering track is modeled, and the dynamic RCS sequence is obtained. Finally, the RCS characteristics of the target are statistically analyzed by using the typical statistical distribution model and the improved hybrid lognormal distribution model. The simulation results show that compared with the typical statistical distribution model, the hybrid lognormal distribution model has better fitting effect and higher fitting accuracy for the RCS bimodal characteristics of stealth aircraft, and the K-S detection results are reduced to less than 30%.