典型雷达压制性干扰样式自动识别  

Automatic recognition of suppressing jammingpatterns of typical radars

作　　者：李敏裕 毋晓鹤 杜洪兵 苏玉瑞 王洪军 郭蓓蓓 LI Min-yu;WU Xiao-he;DU Hong-bing;SU Yu-rui;WANG Hong-jun;GUO Bei-bei(Unit 63893 of the PLA,Luoyang 471003,China)

机构地区：[1]63893部队,河南洛阳471003

出　　处：《雷达与对抗》2022年第3期10-14,共5页Radar & ECM

摘　　要：针对人工判断干扰样式存在错误率高和时效性差的问题,研究典型雷达压制性干扰样式自动识别。首先分析典型雷达回波信号和压制性干扰样式,建立相应数学模型;然后运用短时傅里叶变换得到信号的时频图,提取时频图的纹理特征,形成干扰样式特征库;运用特征库对神经网络识别算法进行训练和测试。测试结果表明,本文算法具有较高的识别率和较低的噪声敏感性。Due to high error rate and poor timeliness in manual judgment of jamming patterns,the automatic recognition of the suppressing jamming patterns of the typical radars is studied.The echo signals and suppressing jamming patterns of the typical radars are analyzed,the corresponding mathematical models are built,and the time-frequency map of the signals is obtained by using the short-time Fourier transform to extract the texture features and form the feature library of the jamming patterns for the training and testing of the neural network recognition algorithm.The test results show that the algorithm has high recognition rate and low noise sensitivity.

关 键 词：干扰样式 局部二值模式 识别算法 

分 类 号：TN957.54[电子电信—信号与信息处理]