基于SDAE-SVM算法的雷达干扰方案在线决策方法
The radar jamming scheme online decision method based on SDAE-SVM algorithm
裴立冠 1马春波 1刘可 1赵盼2
作者信息
- 1. 中国人民解放军 91550 部队,辽宁 大连 116023
- 2. 中国人民解放军 95507 部队,贵州 贵阳 550000
- 折叠
摘要
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.
Abstract
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.
关键词
主动雷达制导/在线干扰决策/SDAE-SVM/雷达状态/干扰效果Key words
active radar guidance/online jamming decision-making/SDAE-SVM/radar status/jamming effectiveness引用本文复制引用
出版年
2024
NETL
NSTL
万方数据