Research on the Construction Method of the Index System for the Performance Evaluation of Navigation Confrontation

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

doi:10.1007/978-981-19-6613-2_113

Cited by 1 publication

(1 citation statement)

References 24 publications

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“…Conventional methods of distributing jamming sources do not reflect the real point neighbourhood and are easily identified by receivers. Compared to generative jamming, forwarded jamming does not need to know the structure of specific navigation messages and is relatively less technically difficult to implement; so forwarding deceptive jamming has become an important research direction for navigation jamming [13][14][15]]. In forwarding deceptive jamming, which distribution method can make the spoofing point field to reflect the change of the real point field to the maximum extent is an urgent problem in the field of navigation jamming.…”

Section: Introductionmentioning

confidence: 99%

Smart forwarding deceptive jamming distribution optimal algorithm

Tang,

Ding,

et al. 2024

IET Radar Sonar & Navi

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With the frequent occurrence of drone black flying in large stadiums and airports, the requirement of precise electromagnetic interference to achieve unmanned aerial vehicle (UAV) displacement and forced landing in these protected area became urgent. Since traditional suppression jamming will affect normal communication, and forwarding deceptive jamming has coverage hole, a smart forwarding deceptive jamming distribution optimal algorithm (SFDJDO) is proposed. It gives a mapping error scale factor and the optimal distribution of multistation forwarding equivalent mapping to solve the problem of distortion on the mapping scale caused by different distribution methods and reduces the influence of the mapping errors and the differences between the virtual and real point neighborhoods of the jamming source. A comparison of the proposed SFDJDO method to the existing jamming source distribution optimisation method is conducted in the aspect of area mapping and trajectory mapping. The findings reveal that when the GNSS receiver clock bias is within the capture range, SFDJDO demonstrates significant enhancements in mapping precision and jamming success rates.

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Section: Introductionmentioning

confidence: 99%