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A Novel Method of Radar Antenna Scan Pattern Recognition Using Visibility Graph
Author(s) -
Tao Wan,
Xiouhua Fu,
Kaili Jiang,
Yufeng Tang,
Ying Xiong,
Bin Tang
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1325/1/012162
Subject(s) - raster scan , artificial intelligence , computer science , computer vision , azimuth , radar imaging , radar , antenna blind cone , antenna (radio) , phased array , visibility , radiation pattern , optics , telecommunications , physics , antenna aperture
Radar antenna scan has a great influence on reconnaissance targets, interference decision-making, and electronic support measures. In this paper, we propose a recognition methods of antenna scan pattern based on visibility graph, including circular scan, sector scan, helical scan, raster scan, conical scan, phased array scan, phased array azimuth scan and circular elevation scan. We have mapped the radar scans pattern, the azimuth and elevation curves of various scan pattern and the signal variation of the EW receiver. Moreover, the related features are extracted from the visibility graph and the seven radar scan patterns are classified by five kinds of classifiers. Simulation experiments verify the efficiency of the algorithm.

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