Research on GNSS generating spoofing jamming technology

Xiao-gang, Xie; Lu, Mingquan; Zeng, Dazhi

doi:10.1049/cp.2015.0999

Cited by 2 publications

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Compared with suppressive jamming, deceptive jamming does not affect the transmission of other signals because it can achieve smart jamming of the target with tactical support. There are two kinds of deceptive jamming, generative and forwarding, by giving false messages or changing signal propagation delay time, causing a change in the observed pseudorange thereby achieving false localization, respectively [9][10][11][12]. Deceptive jamming as a smart jamming has high power utilisation efficiency, and to convert this energy advantage into an advantage in countermeasures, it is necessary to start with the realistic mapping area or trajectory of the real target.…”

Section: Introductionmentioning

confidence: 99%

Smart forwarding deceptive jamming distribution optimal algorithm

Tang,

Ding,

et al. 2024

IET Radar Sonar & Navi

View full text Add to dashboard Cite

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.

show abstract

Section: Introductionmentioning

confidence: 99%

Smart forwarding deceptive jamming distribution optimal algorithm

Tang,

Ding,

et al. 2024

IET Radar Sonar & Navi

View full text Add to dashboard Cite

show abstract

Jamming Meets Antijamming: A Survey of GPS Communication Networks

Yang

2022

Security and Communication Networks

View full text Add to dashboard Cite

GPS signal is fragile. With the development of GPS interference and anti-jamming technology, this paper tends to briefly describe the current classification of related interference technology and antijamming technology, analyze and summarize the current status of classical interference technology and antijamming technology, compare and analyze all kinds of current interference and antijamming technology, and prospect the future development of interference and antijamming technology.

show abstract

Research on GNSS generating spoofing jamming technology

Cited by 2 publications

References 0 publications

Smart forwarding deceptive jamming distribution optimal algorithm

Smart forwarding deceptive jamming distribution optimal algorithm

Jamming Meets Antijamming: A Survey of GPS Communication Networks

Contact Info

Product

Resources

About