基于PDW多特征融合的辐射源信号分选方法

doi:10.12305/j.issn.1001-506X.2024.01.09

Abstract

Abstract:

In view of the difficulty to deal with aliasing signals and low accuracy of sorting in the field of radiation signals sorting, this paper proposes a multi-feature fusion method, focusing on pulse description word (PDW), which is a two-step process architecture based on divide-conquer method. In the first step, the problem of radial source signal aliasing in the time-frequency domain is solved by the proposed spatial-time density clustering model. The second step is to further improve the accuracy of sorting through the intersection over union method. Compared with the traditional methods, this method can effectively separate the pulse signal of the mixed time-frequency domain with higher sorting accuracy. It is robust against the variation of pulse repetition interval (PRI) of radiation source.

Key words: radiation signal sorting, spatial-temporal density clustering, intersection over union (IoU), multi-feature fusion, pulse description word (PDW)

CLC Number:

TN911

Jiayi LUO, Xuanpeng LI, Jianghao LI, Qifan XUE, Feng YANG, Weigong ZHANG. Radiation signal sorting method based on PDW multi-feature fusion[J]. Systems Engineering and Electronics, 2023, 46(1): 80-87.

Figures/Tables 16

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算法	结果
算法	检出率	准确率
DBSCAN	96.23	70.75
OPTICS	98.87	74.24
AGNES	90.58	76.38
本文方法	99.48	81.35

算法	结果
算法	有效数据点占比
DBSCAN	77.26
OPTICS	89.36
AGNES	84.67
本文方法	93.41

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Radiation signal sorting method based on PDW multi-feature fusion

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