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Radar Sorting Performances from a Partition Clustering Perspective

机译:分区聚类视角的雷达分类性能

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The main objective of Electronic Support Measure (ESM) system is to obtain threatening emitters by receiving, measuring, and sorting radar pulses. Through these steps, sorting radar pulses is absolutely essential to differentiate between the threatening emitters. A large number of sorting algorithms have been proposed to tackle this issue; however, most of them suffer from lack of success in such circumstances (agility signal, clutter or noise pulses, and missing pulses). In this paper, four partition clustering methods are considered for sorting radar pulses under the influence of clutter (noise) and missing pulses. Besides, the significant impact of initiation clustering upon the sorting performances is discussed. Finally, the simulation results demonstrated lucid analysis of the compared methods' performances, and identified the most amenable algorithm for sorting radar signal.
机译:电子支持测量(ESM)系统的主要目标是通过接收,测量和分类雷达脉冲来获得威胁性发射器。通过这些步骤,对雷达脉冲进行分类对于区分威胁性发射器绝对是必不可少的。已经提出了许多排序算法来解决这个问题。但是,在这种情况下(敏捷信号,杂波或噪声脉冲以及丢失的脉冲),它们中的大多数人都无法获得成功。在杂波(噪声)和丢失脉冲的影响下,本文考虑了四种分区聚类方法对雷达脉冲进行分类。此外,讨论了引发聚类对排序性能的重大影响。最后,仿真结果表明了对所比较方法性能的清晰分析,并确定了最适合雷达信号分类的算法。

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