Automatic radar antenna scan type recognition based on limited penetrable visibility graph

• 来源期刊: 系统工程与电子技术（英文版）
• 年，卷（期）: 2021,（2）
• 所属期刊栏目: DEFENCE ELECTRONICS TECHNOLOGY
• 页码范围: 437-446
• 页数: 10页
• 语种: 英文
• DOI: 10.23919/JSEE.2021.000037

摘要

To address the problem of the weak anti-noise and macro-trend extraction abilities of the current methods for identi-fying 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, heli-cal 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 re-sults 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.