基于自然聚类的信号分选新方法
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( 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)

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TN971

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A New Method for Signal Sorting Based on Natural Clustering
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( 1.Naval Aeronautical and Astronautical University Department of Electronic and Information Engineering;2.Naval Aeronautical and Astronautical University Department of Training, Yantai Shandong 264000, China)

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    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。

    Abstract:

    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 thesame signal were difficult to be sorted, an algorithm for signal sorting based on natural clustering was proposed in this pa.per. The simulation showed that this algorithm could overcome those drawbacks of histogram method while solving theproblem of losing pulse in sorting.

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冯奇,刘又铭,王志远,林瑜,方弟.基于自然聚类的信号分选新方法[J].海军航空大学学报,2013,28(6):619-622, 632
FENG Qi, LIU You-ming, WANG Zhi-yuan, LIN Yu, FANG Di. A New Method for Signal Sorting Based on Natural Clustering[J]. JOURNAL OF NAVAL AVIATION UNIVERSITY,2013,28(6):619-622, 632

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  • 在线发布日期: 2016-03-20
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