@article{(Open Science Index):https://publications.waset.org/pdf/10007339,
	  title     = {An Improved Sub-Nyquist Sampling Jamming Method for Deceiving Inverse Synthetic Aperture Radar},
	  author    = {Yanli Qi and  Ning Lv and  Jing Li},
	  country	= {},
	  institution	= {},
	  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.
},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {11},
	  number    = {7},
	  year      = {2017},
	  pages     = {824 - 830},
	  ee        = {https://publications.waset.org/pdf/10007339},
	  url   	= {https://publications.waset.org/vol/127},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 127, 2017},
	}