基于组合赋权TOPSIS的智能UUV目标识别与反对抗效能评估  

Effectiveness Evaluation of Intelligent UUV Target Recognition and Counter-contermeasure Based on TOPSIS with Weighting Combination

作　　者：王旭 李金明 毛昭勇[3,5,6] 丁文俊 WANG Xu;LI Jinming;MAO Zhaoyong;DING Wenjun(School of Marine Science and Technology,Northwestern Polytechnical University,Xi’an 710072,China;The 705Research Institute,China State Shipbuilding Corporation Limited,Xi’an 710077,China;Unmanned System Research Institute,Northwestern Polytechnical University,Xi’an 710072,China;Research Institute of Xi’an Jiaotong University,Zhejiang,Hangzhou311215,China;National Key Laboratory of Unmanned Aerial Vehicle Technology,Xi’an 710072,China;Integrated Researchand Development Platform of Unmanned Aerial Vehicle Technology,Xi’an 710072,China)

机构地区：[1]西北工业大学航海学院,陕西西安710072 [2]中国船舶集团有限公司第七〇五研究所,陕西西安710077 [3]西北工业大学无人系统技术研究院,陕西西安710072 [4]浙江西安交通大学研究院,浙江杭州311215 [5]无人飞行器技术全国重点实验室,陕西西安710072 [6]无人机技术集成攻关大平台,陕西西安710072

出　　处：《水下无人系统学报》2024年第5期779-786,共8页Journal of Unmanned Undersea Systems

基　　金：国家自然科学基金项目(51909206);中国博士后科学基金项目(2021M692616);陕西省自然科学基础研究计划项目(2024JC-YBMS-300);中央高校基本科研业务费专项资金项目(31020200QD044)。

摘　　要：随着水声对抗作战环境日益复杂,未来水下作战的重点主要是智能水下无人系统的对抗与反对抗,研究智能无人水下航行器(UUV)目标识别与反对抗能力对提高智能水下无人系统的整体作战效能具有重要意义。为了评估智能UUV目标识别与反对抗效能,文中分析了影响系统效能的主要因素,建立了系统效能指标体系,并给出了评估模型;运用主客观相结合的组合赋权方法确定指标体系的权重,采用改进的逼近理想点法对智能UUV目标识别与反对抗效能进行评估,评估结论可为UUV目标识别与反对抗系统设计与优化提供参考。At present,the operational environment for underwater acoustic contermeasure is increasingly complicated.Theemphasis on future underwater warfare is mainly focused on the contermeasure and counter-contermeasure of intelligentunderwater unmanned systems.The research on intelligent unmanned undersea vehicle(UUV)recognition and counter-contermeasure capability is of great significance for improving the overall operational effectiveness of intelligent underseaunmanned systems.In order to evaluate the target recognition and counter-contermeasure effectiveness of the intelligentUUVs,the main factors affecting the system effectiveness were analyzed,and the effectiveness index system was established.The evaluation model was also proposed.The weight of the index system was determined by the combination of subjective andobjective weighting methods,and the target recognition and counter-contermeasure effectiveness of the intelligent UUVs was evaluated by the improved technique for order preference by similarity to ideal solution(TOPSIS).The evaluation conclusioncan provide a reference for the design and optimization of the UUV target recognition and counter-contermeasure system.

关 键 词：智能无人水下航行器 目标识别 反对抗 效能评估 组合赋权 逼近理想点法 

分 类 号：TJ630.34[兵器科学与技术—武器系统与运用工程] U674[交通运输工程—船舶及航道工程]