Paper
29 April 2022 Research on anomaly detection algorithm in complex electromagnetic environment
DongHang Cheng, ShengLiang Fang, MengYing Jiang, Fang Dong
Author Affiliations +
Proceedings Volume 12247, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2022); 1224717 (2022) https://doi.org/10.1117/12.2636843
Event: 2022 International Conference on Image, Signal Processing, and Pattern Recognition, 2022, Guilin, China
Abstract
Under the condition of modern information technology, the scale of battlefield electromagnetic information increases exponentially, which makes the electromagnetic environment more complex, and brings great opportunities and challenges to the development of anomaly detection algorithms in complex electromagnetic environment. Since the research in this field is still in its infancy and the research work system is not strong, this paper sorted out and analyzed relevant literatures at home and abroad, and sorted out and summarized traditional methods and deep learning methods respectively according to different anomaly detection algorithms. At the same time, the research difficulties and development trend of anomaly detection algorithm in complex electromagnetic environment are proposed to provide reference and suggestions for subsequent research.
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DongHang Cheng, ShengLiang Fang, MengYing Jiang, and Fang Dong "Research on anomaly detection algorithm in complex electromagnetic environment", Proc. SPIE 12247, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2022), 1224717 (29 April 2022); https://doi.org/10.1117/12.2636843
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KEYWORDS
Electromagnetism

Signal detection

Data modeling

Detection and tracking algorithms

Machine learning

Environmental sensing

Algorithm development

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