Key Region UAV Fusion Immersion Deception Algorithm

Xiaodong Zheng, Jun Yang, Chengkai Tang, Shan Lu, Jiawei Ding, Yicheng Kong

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

In order to solve the problem that deception is difficult due to various anti-interference methods such as autonomous integrity test and parameter rationality test of active UAV, a distributed multi-domain fusion immersion deception algorithm is proposed. The spoofing model of GNSS and the spoofing model of composite navigation system are constructed, the detection principle of least square residual and parameter rationality check is analyzed, and the pseudo-range deviation and pseudo-range rate deviation are calculated, so as to determine the spoofing delay and realize the multi-domain fusion of spoofing signals in time-frequency domain, spatial domain and power domain. The simulation results show that the algorithm can gradually change the location result of the target UAV, and finally successfully deceive the target, and effectively enhance the protection ability of the key point area.

Original languageEnglish
Title of host publicationProceedings of 2023 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350316728
DOIs
StatePublished - 2023
Event2023 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2023 - Zhengzhou, Henan, China
Duration: 14 Nov 202317 Nov 2023

Publication series

NameProceedings of 2023 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2023

Conference

Conference2023 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2023
Country/TerritoryChina
CityZhengzhou, Henan
Period14/11/2317/11/23

Keywords

  • drone deception
  • fusion deception
  • immersion
  • key point protection

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