摘要
复杂目标在不同视向的RCS分布特征是不同的,传统模型对此都没有给出详细的结果。文中以某歼击机和直升机为对象,应用2χ分布、对数正态分布和瑞利分布模型,以及Kolmogorov拟合优度检验方法,研究其RCS动态测量数据的统计分布特征,得到了在一定显著性水平下,两种目标在不同视向角下对三种模型的拟合效果,同时得到应用2χ分布拟合时模型半自由度随视向角的分布情况。在显著性水平为0.05时,对于在较短时间内录得的复杂目标动态RCS数据,应用2χ分布可以取得较好的拟合效果。文中结果精确地描述了目标RCS的起伏特征,能够为目标回波的精确模拟与检测提供可靠的依据。
The characteristic of complex target RCS distribution is dependent on aspect angle, and the classical models do not offer detailed results to depict this phenomenon. In this paper, the statistical characteristics of one plane and one helicopter＇s RCS dynamic measurement data are studied by using the X^2 distributing, log-normal distribution and Rayleigh distributing model, along with the Kolmogorov fit test to goodness, the fitting results in some notableness level are acquired by using the three models for different aspect angles for two targets, and the degree of freedom distribution OfX^2 model in all aspect angles is obtained for two targets＇ RCS data. The result showed that if the notableness level is equal to 0.05, then for the dynamic RCS data of complex targets recorded in short period of time, better results of goodness of fit can be obtained by using theX^2 distribution model, The result of this paper describes exactly the fluctuation characteristic of target RCS , and can provide a reliable support to accurate simulation and examining of target＇s echo.
出处
《现代雷达》
CSCD
北大核心
2006年第2期18-20,39,共4页
Modern Radar
基金
国防重点预研资助项目
关键词
雷达截面
动态数据
统计特征
radar cross section（ RCS）
dynamic measurement data
statistical characteristic
