基于FAHP-RS和证据推理的雷达信号特征提取评估  

Evaluation of Radar Signal Feature Extraction Based on FAHP-RS and Evidential Reasoning

作　　者：韦旭 潘谊春[1] 程柏林[1] 何缓[1] 韩俊[1] WEI Xu;PAN Yi-chun;CHENG Bo-lin;HE Huan;HAN Jun(Air Force Early Warning Academy,Wuhan 430019,China)

机构地区：[1]空军预警学院,武汉430019

出　　处：《电子信息对抗技术》2018年第5期1-6,共6页Electronic Information Warfare Technology

基　　金：国家自然科学基金(41406049);湖北省自然科学基金(2016CFB288)

摘　　要：针对当前雷达辐射源信号特征提取评估的研究不够深入,评估方法单一和缺乏科学性等问题,提出一种新的评估方法。基于构建的雷达辐射源信号特征提取评估指标体系,首先采用模糊层次分析法和粗糙集理论分别得到主客观权重,并建立优化模型进行权重融合,然后采用证据推理方法融合指标和权重,最后基于综合置信度完成方案排序。仿真实验表明,该评估方法可用来选出最符合用户需求的方案,与改进TOPSIS评估方法的比较结果说明了所提出方法的有效性和优越性。The current research on evaluation of radar emitter signal feature extraction is not in depth,and the evaluation method is simple and lack of scientific nature. To solve these problems,a novel evaluation method is proposed. Firstly,based on establishment of evaluation index system of radar emitter signal feature extraction,subjective and objective weights are obtained by using fuzzy analytical hierarchy process method and rough set theory,and the optimization model is established for weight fusion. Then evidential reasoning method is used to fuse indexes and weights. At last,the scheme sorting based on comprehensive confidence is completed. According to simulation experiments,this evaluation method can select the most suitable schemes to meet user requirements,and the comparison results with improved TOPSIS evaluation method show the effectiveness and superiority of the proposed method.

关 键 词：雷达辐射源信号 特征提取 评估 模糊层次分析法 粗糙集理论 证据推理 

分 类 号：TN971.1[电子电信—信号与信息处理]