An Improved Sub-Nyquist Sampling Jamming Method for Deceiving Inverse Synthetic Aperture Radar
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An Improved Sub-Nyquist Sampling Jamming Method for Deceiving Inverse Synthetic Aperture Radar

Authors: Yanli Qi, Ning Lv, Jing Li

Abstract:

Sub-Nyquist sampling jamming method (SNSJ) is a well known deception jamming method for inverse synthetic aperture radar (ISAR). However, the anti-decoy of the SNSJ method performs easier since the amplitude of the false-target images are weaker than the real-target image; the false-target images always lag behind the real-target image, and all targets are located in the same cross-range. In order to overcome the drawbacks mentioned above, a simple modulation based on SNSJ (M-SNSJ) is presented in this paper. The method first uses amplitude modulation factor to make the amplitude of the false-target images consistent with the real-target image, then uses the down-range modulation factor and cross-range modulation factor to make the false-target images move freely in down-range and cross-range, respectively, thus the capacity of deception is improved. Finally, the simulation results on the six available combinations of three modulation factors are given to illustrate our conclusion.

Keywords: Inverse synthetic aperture radar, ISAR, deceptive jamming, Sub-Nyquist sampling jamming method, SNSJ, modulation based on Sub-Nyquist sampling jamming method, M-SNSJ.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1340264

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References:


[1] T. Wang, X. Wang, Y. Chang, J. Liu, and S. Xiao, “Estimation of precession parameters and generation of ISAR images of ballistic missile targets,” IEEE Trans. Aerosp. Electron. Syst., vol. 46, no. 4, pp. 1983–1995, Oct. 2010.
[2] Xueru Bai, “Study on New Techniques for ISAR Imaging of Aerospace Targets” (D), 2011.
[3] M. Skolnik, Radar Handbook, 3rd ed. New York, NY, USA: McGraw Hill, 2008.
[4] X.-C. Xie and Y.-H. Zhang, “High-resolution imaging of moving train by ground-based radar with compressive sensing,” Electron. Lett. vol. 46, no. 7, pp. 529–531, Apr. 2010.
[5] P. E. Pace, D. J. Fouts, S. Ekestorm, and C. Karow, “Digital false-target image synthesiser for countering ISAR,” IEE Proc. Radar Sonar Navig. vol. 149, no. 5, pp. 248–257, Oct. 2002.
[6] Letao Xu, Dejun Feng, Xiaoyi Pan, Qingfu Liu, and Xuesong Wang, “An Improved Digital False-Target Image Synthesizer Method for Countering Inverse Synthetic Aperture Radar”, IEEE Sensors J, vol. 15, no. 10, Oct 2015.
[7] Li Yuan, Lv Gaohuan, Chen Huilian, “The Study of Multi-false Targets Deception against Stepped-frequency Waveform Inverse Synthetic Aperture Radar”, ICSP2008 Proceedings.
[8] Xu, Letao, Fend Dejun, Liu QINGFU, et al ISAR Decoy Generation by Utilizing Coherent Multiplication Method Jamming, Acta Electronica Sinica, Vol.42 No 12. Dec 2014.
[9] Wang Chao, Zhang Xiao-fa and Yuan Nai-chang: Journal of system Simulation 19 (2007) 4639.
[10] X. Pan, W. Wang, D. Feng, Y. Liu, Q. Fu, and G. Wang, “On deception jamming for countering bistatic ISAR based on sub-nyquist sampling,” IET Radar, Sonar Navigat., vol. 8, no. 3, pp. 173–179, Mar. 2014.
[11] W. Wang, X.-Y. Pan, Y. C. Liu, D.-J. Feng, and Q.-X. Fu, “Sub-Nyquist sampling jamming against ISAR with compressive sensing,” IEEE Sensors J, vol. 14, no. 9, pp. 3131–3136, Sep. 2014.