基于自然聚类的信号分选新方法  

A New Method for Signal Sorting Based on Natural ClusteringA Clustering

作　　者：冯奇[1] 刘又铭[1] 王志远[1] 林瑜[2] 方弟 

机构地区：[1]海军航空工程学院电子信息工程系,山东烟台264001 [2]海军航空工程学院训练部,山东烟台264001

出　　处：《海军航空工程学院学报》2013年第6期619-622,632,共5页Journal of Naval Aeronautical and Astronautical University

摘　　要：多站无源定位系统中,如何对各站收到的交错脉冲列实现正确的脉冲分选和配对是决定定位效果的关键技术之一。针对直方图分选方法存在的直方格分裂,某一维时差相同的2个辐射源难于分选等问题,提出一种基于自然聚类的脉冲分选新方法。仿真结果表明,该算法能较好克服直方图方法的以上缺点,并且较好地解决了脉冲漏分选问题。Sorting of pulse series is one of the most important technologies in the multiple platform passive location system. In terms of the disadvantages of the histogram method, such as the split of the histogram and the two emitters that had the same signal were difficult to be sorted, an algorithm for signal sorting based on natural clusteringwas proposed in this pa- per. The simulation showed that this algorithm could overcome those drawbacks of histogram method while solving the problem of losing pulse in sorting.

关 键 词：信号分选 自然聚类 直方图 

分 类 号：TN971[电子电信—信号与信息处理]