Phantom track generation for radar network deception in the presence of inaccuracy in the radar position

Document Type : Original Article

Authors

1 Assistant Professor, University of Electrical and Computer Complex, Malek Ashtar University of Technology, Tehran, Iran

2 Assistant Professor, Malek Ashtar University of Technology, Tehran, Iran

Abstract

Radar network deception through phantom track generation using cooperative unmanned aerial
vehicles (UAVs) is an effective way of encountering sophisticated radar networks. In previous
studies a method based on virtual motion camouflage (VMC) and path control parameter (PCP)
has been developed to design the trajectory of cooperative UAVs during the phantom track
generation mission. In these studies, the radar locations are assumed to be known. In real
situations, the knowledge of radar locations has an inaccuracy. The radar position inaccuracy
leads to an incoherent phantom track. The radar network can recognize the phantom track
according to the distance between the false targets created by each UAV. In this paper, the effect
of the inaccuracies of the radar position on the generated phantom track is considered. By
adding a constraint that limits the flyable range of UAVs, the phantom track is generated such
that the probability of the radar network detecting the deception is minimized. The mentioned
constraint is specified based on the maximum radar position inaccuracy, the radar error, and the
false target trajectory. The simulation results show that using this constraint in the trajectory
design for UAVs, reduces effectively the recognition rate of the phantom track for various
ranges of inaccuracies.

Keywords

Smiley face

References

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Radar
Volume 9, Issue 1 - Serial Number 25
September 2021
Pages 63-73

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History

  • Receive Date: 07 April 2021
  • Revise Date: 20 September 2021
  • Accept Date: 13 December 2021
  • Publish Date: 23 August 2021

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