隐身目标雷达散射截面最优分布模型选择
Optimal distribution model selection of stealth target RCS
-
摘要:
隐身目标严重削弱雷达探测威力,研究其雷达散射截面(Radar Cross Section,RCS)分布特性有助于评估雷达对隐身目标的检测性能,这是开展反隐身技术研究的基础.文中以F-117A为例,提出一套完整的选择隐身目标RCS最优分布模型的方法,该方法由获取RCS数据,分布特性拟合,拟合优度检验三部分组成.分别采用x2分布、对数正态分布、赖斯分布和非参数法模型拟合F-117A全向RCS数据,并进行x2拟合优度检验.结果表明该方法具有可行性,并可扩展用于研究其他型号的隐身目标.
Abstract:Stealth target severely weakens the detection power of radar. Studying its radar cross section(RCS) distribution characteristic helps to evaluate the detection performance of radar for stealth targets, which is the basis for anti-stealth technology research. F-117A was studied as an example of proposing a method to select the optimal distribution model of stealth target RCS. The method was composed of getting RCS data, distribution characteristic fitting and goodness-of-fit test. Omni-directional RCS of F-117A was fitted with x2 distribution model, Log-normal distribution model, Rice distribution model and Nonparametric method model. x2 goodness-of-fit test was used. The results verify the feasibility and scalability of the method.