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.
出处
《电子对抗》
2010年第1期37-41,共5页
Electronic Warfare
关键词
证据理论
辐射源识别
特征权重
基本概率赋值
evidence theory
emitter recognition
characteristic weight
Basic Probability Assignment Values （BPAV）
