一种新的RES脉内特征复杂度评价方法  

A New Intra-pulse Characteristics Complexity Evaluation Method of RES

作　　者：段美军[1] 金炜东[1] 杨志新[2] 

机构地区：[1]西南交通大学电气工程学院,成都610031 [2]西南交通大学信息科学与技术学院,成都610031

出　　处：《计算机工程》2013年第8期303-306,共4页Computer Engineering

基　　金：国家自然科学基金资助项目(60971103)

摘　　要：为弥补传统五参数对雷达辐射源信号(RES)分选识别能力的不足,提出一种基于模糊物元分析的RES脉内特征复杂度评价方法。从特征提取算法的时间复杂度和特征的空间复杂度2个角度设计评价指标,基于实数编码加速遗传算法的投影寻踪模型获取指标的权重,采用模糊物元分析法综合评价RES脉内特征复杂度。针对6类典型RES信号进行仿真实验,结果表明,该方法可以较全面和准确地评价RES信号特征的复杂度。To make up for the sorting and recognition ability of the traditional five-parameter for Radar Emitter Signal（RES）,this paper presents the evaluation method of RES intra-pulse characteristics based on fuzzy matter-element analysis.It designs evaluation indexes from time complexity of the feature extraction algorithm and space complexity of characteristics,gets objective weights of indexes by projection pursuit model based upon accelerating genetic algorithm with real coding,and uses the fuzzy matter-element analysis to evaluate the complexity of RES’s intra-pulse characteristics and does the simulation for six typical RESs.Experimental results show that this method is objective,effective,and can evaluate the complexity of RES’s intra-pulse characteristics more roundly and accurately.

关 键 词：时间复杂度 空间复杂度 脉内特征 雷达辐射源信号 投影寻踪模型 模糊物元分析法 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]