Radar Active Jamming Signal Identification Method Based on Time-frequency Image Features

Wanbing Hao, Xiaoyi Feng, Xiaoyue Jiang

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

In this paper, the Choi-Williams method is used to describe five typical jamming signals, and the grayscale images of the time-frequency two-dimensional distribution of the jamming signals are obtained. The contour information is maximally enhanced by median filtering and image segmentation processing algorithms for the grayscale images. The effective time-frequency domain feature parameter set is extracted and the dimensionality reduction is done. SVM is used to identify typical radar active jamming signals and provide a priori information for radar anti-jamming. This paper verifies the adopted method by MATLAB simulation experiments and analyzes the performance and feasibility of the adopted method.

源语言英语
主期刊名Proceedings - 2023 2nd International Conference on Image Processing and Media Computing, ICIPMC 2023
出版商Institute of Electrical and Electronics Engineers Inc.
64-70
页数7
ISBN(电子版)9798350326611
DOI
出版状态已出版 - 2023
活动2nd International Conference on Image Processing and Media Computing, ICIPMC 2023 - Xi�an, 中国
期限: 26 5月 202328 5月 2023

出版系列

姓名Proceedings - 2023 2nd International Conference on Image Processing and Media Computing, ICIPMC 2023

会议

会议2nd International Conference on Image Processing and Media Computing, ICIPMC 2023
国家/地区中国
Xi�an
时期26/05/2328/05/23

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