Radar deception jamming detection method with digital radio frequency memory

被引:0
|
作者
Zhang S. [1 ]
Chen S. [1 ]
Wang W. [2 ]
机构
[1] Research Institute of Electronic Science and Technology, University of Electronic Science and Technology of China, Chengdu
[2] School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu
关键词
active deceptive jamming; digital radio frequency memory; Hough transform; jamming detection;
D O I
10.11887/j.cn.202402018
中图分类号
学科分类号
摘要
The transponder deception jamming with DRFM(digital radio frequency memory) is highly coherent with real radar echoes, which makes it difficult for radar to distinguish real radar echoes and jamming. To address this issue, a DRFM-based deception jamming detection method based on Hough transform was proposed. The jamming signal model based on linear frequency modulation was established and the spectrum of the jamming harmonics was analyzed subsequently. Then, the short-time Fourier transform and two-dimensional constant false alarm rale detector were used to extract the features of the jamming signal. The Hough transform was used to complete deception jamming detection. The proposed method is based on the characteristics of DRFM deception jamming itself, and does not depend on prior information and application scenario. Moreover, it has low computational complexity and good detection performance under the condition of low signal-to-noise. The effectiveness of the proposed method is verified through simulations. © 2024 National University of Defense Technology. All rights reserved.
引用
收藏
页码:174 / 181
页数:7
相关论文
共 22 条
  • [11] BERGER S D., The spectrum of a digital radio frequency memory linear range gate stealer electronic attack signal, Proceedings of the IEEE Radar Conference, (2001)
  • [12] BERGER S D., Digital radio frequency memory linear range gate stealer spectrum [J], IEEE Transactions on Aerospace Electronic Systems, 39, 2, pp. 725-735, (2003)
  • [13] XU H F, LIU F., Spectrum characteristic analysis of linear frequency-modulated signal in the fractional Fourier domain [J], Journal of Signal Processing, 26, 12, pp. 1896-1901, (2010)
  • [14] JIANG J, LIU F, HU C., Design and realization of FPGAbased DRFM with high instantaneous bandwidth [C], Proceedings of the IEEE 15th International Conference on Electronic Measurement & Instruments, pp. 233-239, (2021)
  • [15] ZHAO Y J, TIAN B, WANC C Y, Et al., Research on mainlobe deceptive jamming against FDA-MIMO radar [J], IET Radar, Sonar & Navigation, 15, 6, pp. 641-654, (2021)
  • [16] BANDIERA F, FARINA A, ORLANDO D, Et al., Detection algorithms to discriminate between radar targets and ECM signals[J], IEEE Transactions on Signal Processing, 58, 12, pp. 5984-5993, (2010)
  • [17] GAO J N, WANG M, CHEN L B, Et al., DRFM jamming mode identification leveraging deep neural networks [C], Proceedings of the International Conference on Control, Automation and Information Sciences, pp. 444-449, (2021)
  • [18] NOURI M, MIVEHCHY M., Velocity deception jamming discrimination using quantization effect, Analog Integrated Circuits and Signal Processing, 100, pp. 193-198, (2019)
  • [19] LU Y L, LI S Y., CFAR detection of DRFM deception jamming based on singular spectrum analysis, Proceedings of the IEEE International Conference on Signal Processing, Communications and Computing, pp. 1-6, (2017)
  • [20] QU Q Z, WEI S J, LIU S, Et al., JRNet: jamming recognition networks for radar compound suppression jamming signals, IEEE Transactions on Vehicular Technology, 69, 12, pp. 15035-15045, (2020)