To address the problem of the weak anti-noise and macro-trend extraction abilities of the current methods for identifying radar antenna scan type, a recognition method for radar antenna scan types based on limited penetrable visibility graph(LPVG) is proposed. Firstly, seven types of radar antenna scans are analyzed, which include the circular scan, sector scan, helical scan, raster scan, conical scan, electromechanical hybrid scan and two-dimensional electronic scan. Then, the time series of the pulse amplitude in the radar reconnaissance receiver is converted into an LPVG network, and the feature parameters are extracted. Finally, the recognition result is obtained by using a support vector machine (SVM) classifier. The experimental results show that the recognition accuracy and noise resistance of this new method are improved, where the average recognition accuracy for radar antenna type is at least 90% when the signal-to-noise ratio (SNR) is 5 dB and above.

中文翻译：

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基于有限穿透性可见度图的雷达天线自动扫描类型识别

针对目前雷达天线扫描类型识别方法抗噪能力强，宏趋势提取能力弱的问题，提出了一种基于有限穿透性可见度图（LPVG）的雷达天线扫描类型识别方法。首先，分析了七种类型的雷达天线扫描，包括圆形扫描，扇形扫描，螺旋扫描，光栅扫描，锥形扫描，机电混合扫描和二维电子扫描。然后，将雷达侦察接收机中脉冲幅度的时间序列转换为LPVG网络，并提取特征参数。最后，通过支持向量机（SVM）分类器获得识别结果。实验结果表明，该新方法的识别精度和抗噪性均有所提高，