隐身无人机的RCS统计特性研究

Research on Statistical Characteristic of Stealth UAV

本文基于隐身无人机的P波段、X波段的静态RCS仿真数据,分析了不同侧向范围内RCS的均值特性。研究发现该隐身无人机在P波段和X波段的大部分RCS小于1m2和0.1m2。为进一步描述RCS起伏特性的统计分布,分别采用卡方分布模型和对数正态分布模型对RCS概率密度统计数据进行拟合。研究表明卡方分布可以较好地拟合X波段的RCS分布特性,而对数正态分布在描述P波段RCS分布特性时具有更优的拟合性能。研究结果可为隐身无人机的检测识别提供参考依据。

On basis of the simulation data of stealth Unmanned Aerial Vehicles(UAV)in P band and X band,this paper analyzed the mean characteristic of radar cross section(RCS)with different side regions.The result shows that the most of RCS value of the UAV less than 11 m2 and 0.1 m2 in P band and X band,respectively.To further describe the statistical distribution of RCS fluctuation characteristics,the fitting of RCS probability density based onχ2 distribution model and log-normal distribution model is implemented.The fitting error reveals that theχ2 distribution model has the better fitting precision on X band,while log-normal distribution model has the better fitting precision on P band.The research results can provide a support to detection and recognition of stealth UAV.