Volume 47 Issue 3
Apr.  2018
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Li Taorui, Tong Zhongxiang, Li Shenbo, Huang Hesong. Simulation study of jamming effectiveness evaluation system of surface source infrared decoy[J]. Infrared and Laser Engineering, 2018, 47(3): 304001-0304001(9). doi: 10.3788/IRLA201847.0304001
Citation: Li Taorui, Tong Zhongxiang, Li Shenbo, Huang Hesong. Simulation study of jamming effectiveness evaluation system of surface source infrared decoy[J]. Infrared and Laser Engineering, 2018, 47(3): 304001-0304001(9). doi: 10.3788/IRLA201847.0304001

Simulation study of jamming effectiveness evaluation system of surface source infrared decoy

doi: 10.3788/IRLA201847.0304001
  • Received Date: 2017-10-05
  • Rev Recd Date: 2017-11-03
  • Publish Date: 2018-03-25
  • Establishing jamming effectiveness evaluation system of surface source infrared decoy was the key link of effectiveness evaluation. Considering the occasionality of experimental conditions and the economy of test cost, a simulation system was proposed. Firstly, the mathematical model of aircraft and missile was established, and the motion law and radiation factor were fully considered, and the algorithm optimization model was added. Secondly, the motion diffusion model and infrared image model of infrared decoy were established. The combustion optimization algorithm was used to improve the efficiency of the solution. Finally, the effectiveness evaluation index of interference was selected, and the rationality of the simulation system was verified by example simulation and comparison with the measured data. The simulation results show that the established effectiveness evaluation simulation system is feasible and effective, which is close to the experimental results, and meets the requirements of evaluating the effectiveness of the non-point source decoy jamming.
  • [1] Gu Lu. Development of the infrared guidance technology[J]. Infrared and Laser Engineering, 2008, 37(6):686-690. (in Chinese)
    [2] Luo Haibo, Shi Zelin. Status and prospect of infrared imaging guidance technology[J]. Infrared and Laser Engineering, 2009, 38(4):565-573.(in Chinese)
    [3] Li Bingrong, Liu Feng, Wang Xinxin. The image simulation of the IR decoy countermea-suring IR guidance missile[J]. Electro-optic Warfare Radar Passive Countermaesures, 2003(2):15-17. (in Chinese)
    [4] Tong Qi, Li Jianxu, Fang Yangwang, et al. Simulation research on surface-type infrared decoy for jamming infrared imaging guided missile[J]. Infrared and Laser Engineering, 2015, 44(4):1150-1157. (in Chinese)
    [5] Huang Hesong, Tong Zhongxiang, Li Jianxun, et al. Functional simulation of infrared air-to-air missiles based on combat assessment[J]. Infrared and Laser Engineering, 2015, 44(3):803-809. (in Chinese)
    [6] Wang Zhongxian, Fan Xiang, Ma Donghui, et al. Study of jamming effect of infrared decoy on infrared imaging guided air-to-air missile.[J]. Infrared, 2009, 30(5):27-31. (in Chinese)
    [7] Li Taorui, Tong Zhongxiang, Huang Hesong, et al. Study on infrared radiation characteristic of aircraft[J]. Laser Infrared, 2017, 47(2):189-194. (in Chinese)
    [8] Cormen T H, Leiserson C E, Rivest R L, et al. Introduction to Algorithm[M]. Massachusetts:MIT Press, 2005.
    [9] Zou Tao, Tong Zhongxiang, Wang Chaozhe, et al. Diffusion regularity study of foil-surface-type infrared decoy[J]. Acta Aeronauticaet Astronautica Sinica, 2016, 37(9):2634-2645.
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Simulation study of jamming effectiveness evaluation system of surface source infrared decoy

doi: 10.3788/IRLA201847.0304001
  • 1. Aeronautics and Astronautics Engineering Institute,Air Force Engineering University,Xi'an 710038,China;
  • 2. The No. 95965 Army of PLA,Gucheng 253800,China

Abstract: Establishing jamming effectiveness evaluation system of surface source infrared decoy was the key link of effectiveness evaluation. Considering the occasionality of experimental conditions and the economy of test cost, a simulation system was proposed. Firstly, the mathematical model of aircraft and missile was established, and the motion law and radiation factor were fully considered, and the algorithm optimization model was added. Secondly, the motion diffusion model and infrared image model of infrared decoy were established. The combustion optimization algorithm was used to improve the efficiency of the solution. Finally, the effectiveness evaluation index of interference was selected, and the rationality of the simulation system was verified by example simulation and comparison with the measured data. The simulation results show that the established effectiveness evaluation simulation system is feasible and effective, which is close to the experimental results, and meets the requirements of evaluating the effectiveness of the non-point source decoy jamming.

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