系统工程与电子技术 ›› 2022, Vol. 44 ›› Issue (1): 34-39.doi: 10.12305/j.issn.1001-506X.2022.01.05

• 电子技术 • 上一篇    下一篇

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

马前阔1,2,*, 张小宽1, 宗彬锋1, 徐嘉华2, 王阳2, 郑舒予2   

  1. 1. 空军工程大学防空反导学院, 陕西 西安 710051
    2. 空军工程大学研究生院, 陕西 西安 710051
  • 收稿日期:2020-12-11 出版日期:2022-01-01 发布日期:2022-01-19
  • 通讯作者: 马前阔
  • 作者简介:马前阔(1997—), 男, 硕士研究生, 主要研究方向为目标散射特性与目标探测识别技术|张小宽(1973—), 男, 教授, 博士研究生导师, 博士,主要研究方向为目标探测与识别|宗彬锋(1989—), 男, 副教授,博士, 主要研究方向为天线与电磁波传输|徐嘉华(1997—), 男, 硕士研究生, 主要研究方向为目标探测与识别|王阳(1998—), 男, 硕士研究生, 主要研究方向为目标探测与识别|郑舒予(1996—), 男, 硕士研究生, 主要研究方向为目标探测与识别、散射中心估计
  • 基金资助:
    国家自然科学基金(61372033);目标与环境电磁散射重点实验室创新基金(STES2014-2)

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

Qiankuo MA1,2,*, Xiaokuan ZHANG1, Binfeng ZONG1, Jiahua XU2, Yang WANG2, Shuyu ZHENG2   

  1. 1. Air and Missile Defense College, Air Force Engineering University, Xi'an 710051, China
    2. Graduate School, Air Force Engineering University, Xi'an 710051, China
  • Received:2020-12-11 Online:2022-01-01 Published:2022-01-19
  • Contact: Qiankuo MA

摘要:

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。

关键词: 隐身飞机, 动态雷达散射截面统计特性, 混合对数正态分布模型, 拟合优度检验

Abstract:

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%.

Key words: stealth aircraft, dynamic radar cross section (RCS) statistical characteristics, hybrid lognormal distribution model, fitting degree test

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