首页|基于SDAE-SVM算法的雷达干扰方案在线决策方法

基于SDAE-SVM算法的雷达干扰方案在线决策方法

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面向主动雷达型末制导干扰场景,提出了一种基于SDAE-SVM算法的雷达干扰方案在线决策方法.基于认知电子战机理构建在线干扰方案决策原理模型,包括雷达状态在线评估模块和干扰效果在线评估模块;区分有源压制干扰和有源欺骗干扰,分别构建雷达状态在线评估指标和干扰效果在线评估指标;建立雷达状态和干扰效果自适应评估流程,融合SDAE算法和SVM算法构建SDAE-SVM算法,用于干扰方案在线决策模型求解.通过仿真案例分析得出以下结论:本研究提出的雷达干扰方案在线决策方法准确率达到 96.02%,同时与单独使用SDAE算法和SVM算法进行求解相比,采用SDAE-SVM算法求取的决策方案准确率最高,证明本研究方案可行.
The radar jamming scheme online decision method based on SDAE-SVM algorithm
An online decision-making method for radar jamming schemes based on SDAE-SVM algorithm was proposed for the active radar guided missile jamming scenario.The jamming scheme decision-making principle model was build based on cognitive electronic warfare theory,including the online evaluation module for radar status and the online evaluation module for jamming effectiveness.Distinguish between active suppression jamming and active deception jamming,radar status online evaluation indicators and jamming effect online evaluation indicators were constructed respectively,and adaptive evaluation process for radar status and jamming effectiveness was established,and SDAE-SVM algorithm was construct from integrating SDAE algorithm and SVM algorithm for solving online decision-making models of jamming schemes.Through simulation case analysis,the following conclusions are drawn:the accuracy rate of the online decision-making method for radar jamming schemes proposed in this study reaches 96.02%.Compared to using SDAE algorithm and SVM algorithm alone to solve the problem,the accuracy rate of the decision-making scheme obtained using SDAE-SVM algorithm is the highest,which proves that this research scheme is feasible.

active radar guidanceonline jamming decision-makingSDAE-SVMradar statusjamming effectiveness

裴立冠、马春波、刘可、赵盼

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中国人民解放军 91550 部队,辽宁 大连 116023

中国人民解放军 95507 部队,贵州 贵阳 550000

主动雷达制导 在线干扰决策 SDAE-SVM 雷达状态 干扰效果

国家自然科学基金

41901415

2024

微电子学与计算机
中国航天科技集团公司第九研究院第七七一研究所

微电子学与计算机

CSTPCD
影响因子:0.431
ISSN:1000-7180
年,卷(期):2024.41(6)