电子侦察卫星作战效能FASSA-SVR评估模型  

An FASSA-SVR Model for Operation Effectiveness Evaluation of Electronic Reconnaissance Satellite

作　　者：陈涛 饶世钧[1] 洪俊[1] 董航[1] 张延光 许晓波 张鑫 CHEN Tao;RAO Shijun;HONG Jun;DONG Hang;ZHANG Yanguang;XU Xiaobo;ZHANG Xin(Dalian Naval Academy of PLA,Dalian 116000 China;No.91878 Unit of PLA,Zhanjiang 524000 China)

机构地区：[1]海军大连舰艇学院,辽宁大连116000 [2]中国人民解放军91878部队,广东湛江524000

出　　处：《电光与控制》2023年第2期51-55,共5页Electronics Optics & Control

摘　　要：在电子侦察卫星支援对海作战背景下,为充分发挥卫星作战潜能,提出了基于萤火虫麻雀算法(FASSA)优化支持向量回归(SVR)的卫星作战效能评估模型。首先,运用萤火虫算法(FA)对麻雀搜索算法(SSA)进行改进;然后,建立了电子侦察卫星作战效能评估指标体系;最后,运用FASSA算法优化SVR的相关参数,依据所构建的效能评估指标体系,构建了电子侦察卫星作战效能评估模型。仿真结果表明,该模型具有较高的效能评估精度,在各项指标上均优于其他模型。In the context of electronic reconnaissance satellite supporting anti-sea operation,in order to realize the full potential of satellite,a model for satellite operation effectiveness evaluation is proposed based on Support Vector Regression(SVR) optimized by Firefly and Sparrow Search Algorithm(FASSA).Firstly,Firefly Algorithm(FA) is used to improve Sparrow Search Algorithm(SSA).Then,the evaluation index system for operation effectiveness of electronic reconnaissance satellite is established.Finally,FASSA is used to optimize relevant parameters of SVR,and the operation effectiveness evaluation model of electronic reconnaissance satellite is established according to the effectiveness evaluation index system.The simulation results show that the proposed model has high evaluation accuracy,which is better than other models on various indices.

关 键 词：电子侦察卫星 效能评估 萤火虫算法(FA) 麻雀搜索算法(SSA) 支持向量回归(SVR) 

分 类 号：V474.2[航空宇航科学与技术—飞行器设计]