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

doi:10.12305/j.issn.1001-506X.2022.01.05

Abstract

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

CLC Number:

TN957

Qiankuo MA, Xiaokuan ZHANG, Binfeng ZONG, Jiahua XU, Yang WANG, Shuyu ZHENG. Dynamic RCS statistical characteristics analysis of stealth aircraft based on improved hybrid lognormal distribution model[J]. Systems Engineering and Electronics, 2022, 44(1): 34-39.

Figures/Tables 8

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References 31

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航迹类型	统计分布模型
航迹类型	卡方分布	韦布尔分布	对数正态分布	混合对数正态分布
规避机动1	0.35	0.23	0.23	0.07
规避机动2	0.28	0.29	0.21	0.05

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

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