Radiation source signal sorting method, device and equipment based on feature extraction and medium

The invention discloses a radiation source signal sorting method, device and equipment based on feature extraction and a medium. The method comprises the following steps: constructing a pulse arrival time parameter matrix, a pulse repetition interval frequency matrix and a label matrix; taking the p...

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Main Authors GONG YANYUN, FAN YIFEI, HAN CHUANG, XIE JIAN, WANG YUEXIAN, WANG LING, TAO MINGLIANG, LIU YIFEI, SU JIA, LIU XIANGYANG, ZHANG ZHAOLIN
Format Patent
LanguageChinese
English
Published 14.04.2023
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Summary:The invention discloses a radiation source signal sorting method, device and equipment based on feature extraction and a medium. The method comprises the following steps: constructing a pulse arrival time parameter matrix, a pulse repetition interval frequency matrix and a label matrix; taking the pulse repetition interval frequency matrix as a network input image of a semantic extraction model for training; outputting a semantic feature extraction result of actual measurement data prediction; and extracting a pulse sequence and a stagger sequence to complete signal sorting. The method provided by the invention has a good sorting effect in a mixed scene of staggered PRI modulation and fixed PRI with a low signal-to-noise ratio, and is helpful for improving the subsequent positioning precision of the radiation source. 本发明公开了基于特征提取的辐射源信号分选方法、装置、设备及介质,所述方法包括:构建脉冲到达时间参数矩阵、脉冲重复间隔频次矩阵和标签矩阵;将脉冲重复间隔频次矩阵作为语义提取模型的网络输入图像进行训练;输出实测数据预测的语义特征提取结果;提取脉冲序列及参差序列完成信号分选。本发明在信噪比较低的参差PRI调制与固定PRI混合场景下,具有较好的分选效果,有助于提升后续对辐射源的定位精度。
Bibliography:Application Number: CN202211672957