基于证据理论的雷达辐射源特征权重提取  

The Characteristic Weight Extraction of Radar Emitter Based on Evidence Theory

作　　者：旷平昌[1] 王杰贵[1] 

机构地区：[1]电子工程学院308室,合肥230037

出　　处：《电子对抗》2010年第1期37-41,共5页Electronic Warfare

摘　　要：为了更加准确、合理地提取雷达辐射源载频、重复频率、脉宽等特征参数的权重，文章提出一种新算法，根据侦测数据的可信度、识别库参数的自身特征分别给出基本概率赋值，再从决策层给出不同融合系数结合D—s证据理论来提取特征权重。最后举例说明了该算法的演算过程。In order to get the characteristic weight of radar emitter more accurately and reasonably, a new algorithm is proposed in this paper. According to the credibility of the detected data and the self-characteristic of parameter in recognition database, the Basic Probability Assignment Values （BPAV） are given respectively. Then different fusion coefficients are given from decision-layer, which combine D-S evidence theory to extract characteristic weight. At last an example is given to show the process of the algorithm.

关 键 词：证据理论 辐射源识别 特征权重 基本概率赋值 

分 类 号：TN95[电子电信—信号与信息处理]