Full-domain collaborative deployment method of multiple interference sources and evaluation of its deployment effect

Wang, Yue; Sun, Fuping; Wang, Xian; Jinming, Hao; Xiao, Kai

doi:10.1016/j.dt.2023.03.022

Cited by 2 publications

(2 citation statements)

References 36 publications

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“…Comprehensive capability evaluation involves the FCA method, improved CAM, and weighted product method (WPM). Considering that FCA is more classical, the relevant definitions and models can be referred to the existing achievements [ 26 ]. CAM retains the advantages of their respective algorithms to produce reasonable weights [ 27 ]; however, significant room for improvement remains with respect to reducing weighting uncertainties and selecting an appropriate combination adjustment factor.…”

Section: Methodsmentioning

confidence: 99%

Evaluation methods of BDS-3 ground-segment defensive capability oriented to satellite navigation countermeasures

Wang,

Sun,

Wang

et al. 2024

Heliyon

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Section: Methodsmentioning

confidence: 99%

Evaluation methods of BDS-3 ground-segment defensive capability oriented to satellite navigation countermeasures

Wang,

Sun,

Wang

et al. 2024

Heliyon

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“…In [29], a multi-station repeater deception jamming deployment method based on equivalent mapping was presented, which can realize area mapping and trajectory mapping while improving the jamming success rate. In [30], principles for the coordinated deployment of multiple jammers were formulated, and a deployment structure for the coordinated deployment of three jammers was obtained, thereby achieving full-domain coordinated deployment of multiple jammers. However, traditional jammer deployment methods lack flexibility and struggle to adapt to the high-speed movement of LEO satellites.…”

Section: Related Workmentioning

confidence: 99%

LEO Satellite Downlink Distributed Jamming Optimization Method Using a Non-Dominated Sorting Genetic Algorithm

Tang,

Ding,

Zhang

2024

Remote Sensing

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Due to their low orbit, low-Earth-orbit (LEO) satellites possess advantages such as minimal transmission delay, low link loss, flexible deployment, diverse application scenarios, and low manufacturing costs. Moreover, by increasing the number of satellites, the system capacity can be enhanced, making them the core of future communication systems. However, there have been instances where malicious actors used LEO satellite communication equipment to illegally broadcast events in large sports stadiums or engage in unauthorized leakage of military secrets in sensitive military areas. This has become an urgent issue in the field of communication security. To combat and prevent abnormal and illegal communication activities using LEO satellites, this study proposes a LEO satellite downlink distributed jamming optimization method using a non-dominated sorting genetic algorithm. Firstly, a distributed jamming system model for the LEO satellite downlink is established. Then, using a non-dominated sorting genetic algorithm, the jamming parameters are optimized in the power, time, and frequency domains. Field jamming experiments were conducted in the southwest outskirts of Xi’an, China, targeting the LEO constellation of the China Satellite Network. The results indicate that under the condition that the jamming coverage rate is no less than 90%, the proposed method maximizes jamming power, minimizes time delay, and minimizes frequency compensation compared to existing jamming optimization methods, effectively improving the real-time jamming performance and success rate.

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Full-domain collaborative deployment method of multiple interference sources and evaluation of its deployment effect

Cited by 2 publications

References 36 publications

Evaluation methods of BDS-3 ground-segment defensive capability oriented to satellite navigation countermeasures

Evaluation methods of BDS-3 ground-segment defensive capability oriented to satellite navigation countermeasures

LEO Satellite Downlink Distributed Jamming Optimization Method Using a Non-Dominated Sorting Genetic Algorithm

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