基于密度聚类的改进PRI分选方法
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Improved PRI Sorting Method Based on Density Clustering
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    摘要:

    在雷达被动信号分选中,对脉冲重复间隔(pulse repetition interval,PRI)值的提取至关重要。针对直方图统计和PRI变换法在脉冲重复周期值提取精度方面的不足,提出一种基于密度聚类的PRI值提取方法。通过对脉冲到达时间做三级差值,对其进行基于密度的聚类处理,选取类内均值作为PRI估计值。仿真实验结果表明:该方法提取出的PRI值在精确度方面明显高于传统方法,对于存在误差抖动和杂散脉冲的雷达信号有较好的分选效果,提高了复杂环境下被动雷达的脉冲信号分选能力。

    Abstract:

    In the radar passive signal sorting, the extraction of the pulse repetition interval (PRI) value is critical. Aiming at the shortcomings of histogram evaluation and PRI transform method in the accuracy of pulse repetition period, a PRI value extraction method based on density clustering is proposed by this paper. By making three pulse arrival time differences, subjected to density-based clustering process, and then select the category as the mean PRI estimate. The simulation results show that the PRI value extracted by this method is significantly higher than that of the traditional method in terms of accuracy. This method has a better sorting effect on the radar signals with error jitter and spurious pulses, and improves the ability of sorting of pulsed signals of passive radar in complex environment.

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引用本文

王 磊.基于密度聚类的改进PRI分选方法[J].,2018,37(02).

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  • 收稿日期:2017-11-03
  • 最后修改日期:2017-11-29
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  • 在线发布日期: 2018-04-20
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