Jamming Against Phased Array Radar

Zhang, Xixiang; Xiao, Kaiqi; Gu, Jun

doi:10.1007/978-981-16-6715-2_9

Cited by 1 publication

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“…In the jamming of active multiple false targets, Zhou et al have identified that a vast number of false points or tracks leads to saturation of the PAR system [8]. Zhi et al have concluded that as the number of false targets increases, the probability of radar detection systems mistaking false targets for real ones also increases [9]. Nevertheless, the methods mentioned above are achieved through active jamming, which still has the disadvantages of high cost and limited flexibility in implementation.…”

Section: Introductionmentioning

confidence: 99%

Phased Array Radar Resource Consumption Method Based on Phase-Switched Screen

Hao,

Feng,

Wang

et al. 2023

Electronics

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The consumption of phased array radar (PAR) resources affects the accuracy of its multi-target searching and tracking abilities. The jamming methods aimed at PAR involve deceptive jamming and comprehensive jamming strategies, but have the disadvantages of high cost and complexity. Given this context, this paper proposes a PAR resource consumption method based on phase-switched screen (PSS), and derives a relationship between the targets and the evaluation indicators. By implementing periodic modulation of PSS, a controlled number of deceptive multiple false targets can be generated, thereby enticing the radar system to engage in activities such as searching and tracking targets. When the quantity of false targets is increased, the number of beam requests becomes five times higher than compared to the scenario without false targets. This has also led the margin of time resources to exceed 50%, successfully achieving the objective of consuming radar resources. Furthermore, this method offers straightforward manipulation, flexibility, and the potential to significantly consume radar resources. The efficacy of the proposed method is confirmed with the simulation outcomes.

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Section: Introductionmentioning

confidence: 99%