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Automatic radar antenna scan type recognition based on limited penetrable visibility graph 被引量:2
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作者 LIU Songtao LEI Zhenshuo +1 位作者 GE Yang WEN Zhenming 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2021年第2期437-446,共10页
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 pene... 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 signalto-noise ratio(SNR)is 5 dB and above. 展开更多
关键词 antenna scan type limited penetrable visibility graph(LPVG) support vector machine(SVM) cognitive electronic warfare
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