Jamming Monitoring Technology of the Space Situational Awareness Facilities: A Comprehensive Survey

Sitian Liu; Chunli Zhu; Chen Yang; Liyang Chen; Kun Fang; Kuo Li; Xing He; Zhipeng Wang; Liheng Bian

doi:10.15918/j.jbit1004-0579.2022.034

Jamming Monitoring Technology of the Space Situational Awareness Facilities: A Comprehensive Survey

Sitian Liu, Chunli Zhu, Chen Yang, Liyang Chen, Kun Fang, Kuo Li, Xing He, Zhipeng Wang, Liheng Bian^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

Complicated electromagnetic environments of the space situational awareness facilities (i.e., satellite navigation systems, radar) would significantly impact normal operations. Effective monitoring and the corresponding diagnosis of the jamming signals are essential to normal operations and the innovations in anti-jamming equipment. This paper demonstrates a comprehensive survey on jamming monitoring algorithms and applications. The methods in dealing with jamming signals are summarized primarily. Subsequently, the jamming detection, identification, and direction finding techniques are addressed separately. Based on the established studies, we also provide some potential trends of the demonstrated jamming monitoring issues.

Original language	English
Pages (from-to)	152-168
Number of pages	17
Journal	Journal of Beijing Institute of Technology (English Edition)
Volume	31
Issue number	2
DOIs	https://doi.org/10.15918/j.jbit1004-0579.2022.034
Publication status	Published - Apr 2022

Keywords

Deep learning
Jamming detection
Jamming direction finding
Jamming identification
Jamming monitoring
Space situational awareness facilities

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10.15918/j.jbit1004-0579.2022.034

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title = "Jamming Monitoring Technology of the Space Situational Awareness Facilities: A Comprehensive Survey",

abstract = "Complicated electromagnetic environments of the space situational awareness facilities (i.e., satellite navigation systems, radar) would significantly impact normal operations. Effective monitoring and the corresponding diagnosis of the jamming signals are essential to normal operations and the innovations in anti-jamming equipment. This paper demonstrates a comprehensive survey on jamming monitoring algorithms and applications. The methods in dealing with jamming signals are summarized primarily. Subsequently, the jamming detection, identification, and direction finding techniques are addressed separately. Based on the established studies, we also provide some potential trends of the demonstrated jamming monitoring issues.",

keywords = "Deep learning, Jamming detection, Jamming direction finding, Jamming identification, Jamming monitoring, Space situational awareness facilities",

author = "Sitian Liu and Chunli Zhu and Chen Yang and Liyang Chen and Kun Fang and Kuo Li and Xing He and Zhipeng Wang and Liheng Bian",

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AU - Liu, Sitian

AU - Zhu, Chunli

AU - Yang, Chen

AU - Chen, Liyang

AU - Fang, Kun

AU - Li, Kuo

AU - He, Xing

AU - Wang, Zhipeng

AU - Bian, Liheng

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AB - Complicated electromagnetic environments of the space situational awareness facilities (i.e., satellite navigation systems, radar) would significantly impact normal operations. Effective monitoring and the corresponding diagnosis of the jamming signals are essential to normal operations and the innovations in anti-jamming equipment. This paper demonstrates a comprehensive survey on jamming monitoring algorithms and applications. The methods in dealing with jamming signals are summarized primarily. Subsequently, the jamming detection, identification, and direction finding techniques are addressed separately. Based on the established studies, we also provide some potential trends of the demonstrated jamming monitoring issues.

KW - Deep learning

KW - Jamming detection

KW - Jamming direction finding

KW - Jamming identification

KW - Jamming monitoring

KW - Space situational awareness facilities

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Jamming Monitoring Technology of the Space Situational Awareness Facilities: A Comprehensive Survey

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