Volume 46 Issue 5
Jun.  2017
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Song Minmin, Tang Shanjun, Wang Biyun, Lv Tao, Fu Xiaohai. Infrared decoy simulation based on MOS resistance array[J]. Infrared and Laser Engineering, 2017, 46(5): 504002-0504002(6). doi: 10.3788/IRLA201746.0504002
Citation: Song Minmin, Tang Shanjun, Wang Biyun, Lv Tao, Fu Xiaohai. Infrared decoy simulation based on MOS resistance array[J]. Infrared and Laser Engineering, 2017, 46(5): 504002-0504002(6). doi: 10.3788/IRLA201746.0504002

Infrared decoy simulation based on MOS resistance array

doi: 10.3788/IRLA201746.0504002
  • Received Date: 2016-09-10
  • Rev Recd Date: 2016-10-20
  • Publish Date: 2017-05-25
  • In order to verify the performance of infrared guidance missile against infrared decoy, it is necessary to simulate the energy change and motion form of infrared decoy in the actual IR scene in the process of hardware in the loop simulation, that is the variation of the radiation of the infrared decoy and separation of bait with target after the interference was deliveried. For this reason, the infrared decoy simulation was studied by using MOS resistor array. Existing domestic MOS resistor array is not less than 200 Hz refresh frequency, and equivalent blackbody temperature of not less than 300℃ can reproduce well the energy of infrared decoy changing when it is burning, at the same time, the simulation model was established based on the infrared decoy modeling theory, and the infrared decoy motion model was modified based on the collected data in the field, it is mainly infrared decoy trajectory correction. Finally, the simulation of infrared decoy was realized based on MOS dynamic infrared scene rendering and driving software.
  • [1] Yang Songqi, Wang Bingjian, Yi Xiang, et al. Infrared decoys recognition method based on dual-band information fusion[J]. Infrared Physics Technology, 2014, 67:542-546.
    [2] Bai Kun, Wang Yuehuan, Yan Yi, et al. Infrared small target tracking based on target and interference behaviors model[J]. Infrared Physics Technology, 2014, 67:256-265.
    [3] Chunling Y, Yu C, Mengda Y. Research on infrared decoy movement characteristics and simulation[C]//7th IEEE Conference on Industrial Electronics and Applications, 2012:1892-1895.
    [4] Zhang Zuoyu, Liao Shouyi, Zhang Jincheng, et al. Real-time battlefield smoke IR simulation based on physical model[J]. Infrared and Laser Engineering, 2016, 45(4):0404004. (in Chinese)张作宇, 廖守亿, 张金城, 等. 基于物理模型的战场烟幕实时红外仿真[J]. 红外与激光工程, 2016, 45(4):0404004.
    [5] Li Jianxun, Tong Zhongxiang, Fan Xiaoguang, et al. Research of an effectiveness evaluation method of infraed countermeasure process[J]. Infrared and Laser Engineering, 2016, 45(3):0304008. (in Chinese)李建勋, 童中翔, 樊晓光, 等. 红外对抗过程的效能评估方法研究[J]. 红外与激光工程, 2016, 45(3):0304008. (in Chinese)
    [6] Dong Minzhuo, Wang Jianhua, Sun Li, et al. IR target simulation and generation system based on MOS resistor array[J]. Infrared and Laser Engineering, 2008, 37(3):411-415. (in Chinese)董敏周, 王建华, 孙力, 等. 基于MOS电阻阵的红外目标模拟生成系统[J]. 红外与激光工程, 2008, 37(3):411-415.
    [7] Guo Lihong, Guo Hanzhou, Yang Ciyin, et al. Improvement of radiation measurement precision for target by using atmosphere-corrected coefficients[J]. Optics and Precision Engineering, 2016, 24(8):1871-1877. (in Chinese)郭立红, 郭汉洲, 杨词银, 等. 利用大气修正因子提高目标红外辐射特性测量精度[J]. 光学精密工程, 2016, 24(8):1871-1877.
    [8] Liu Junchi, Li Hongwen, Wang Jianli, et al. Measurement of mid-infrared total atmospheric transmittance and its error analysis[J]. Optics and Precision Engineering, 2015, 23(6):1548-1557. (in Chinese)刘俊池, 李洪文, 王建立, 等. 中波红外整层大气透过率测量及误差分析[J]. 光学精密工程, 2015, 23(6):1548-1557.
    [9] Chen Shiwei, Yang Xiaogang, Zhang Shengxiu, et al. Single infrared stripe nonuniformity correction algorithm based on adaptive diffusion models[J]. Chinese Optics, 2016, 9(1):106-113. (in Chinese)陈世伟, 杨小冈, 张胜修, 等. 基于自适应扩散模型的单帧红外条纹非均匀性校正算法[J]. 中国光学, 2016, 9(1):106-113.
    [10] Zhang Xiaolong, Liu Ying, Wang Jian, et al. Infrared thermometry technology with different nonuniformity correction temperatures[J]. Chinese Optics, 2014, 7(1):150-155. (in Chinese)张晓龙, 刘英, 王健, 等. 不同非均匀性校正温度的红外测温技术[J]. 中国光学, 2014, 7(1):150-155.
    [11] Zhao Xishuai, Wu Genshui, Zhao Songqing, et al. Target image generation technology in the infrared imaging guidance hardware-in-the-Loop simulation[J]. Measurement and Control Technology, 2013, 32(7):153-156. (in Chinese)赵西帅, 吴根水, 赵松庆, 等. 红外成像制导半实物仿真目标图像生成技术[J]. 测控技术, 2013, 32(7):153-156.
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Infrared decoy simulation based on MOS resistance array

doi: 10.3788/IRLA201746.0504002
  • 1. Shanghai Institute of Spaceflight Control Technology,Shanghai 201109,China;
  • 2. Shanghai Electro-mechanical Engineering Institute,Shanghai 201109,China;
  • 3. Shanghai Aerospace Academy of Spaceflight Technology,Shanghai 201109,China

Abstract: In order to verify the performance of infrared guidance missile against infrared decoy, it is necessary to simulate the energy change and motion form of infrared decoy in the actual IR scene in the process of hardware in the loop simulation, that is the variation of the radiation of the infrared decoy and separation of bait with target after the interference was deliveried. For this reason, the infrared decoy simulation was studied by using MOS resistor array. Existing domestic MOS resistor array is not less than 200 Hz refresh frequency, and equivalent blackbody temperature of not less than 300℃ can reproduce well the energy of infrared decoy changing when it is burning, at the same time, the simulation model was established based on the infrared decoy modeling theory, and the infrared decoy motion model was modified based on the collected data in the field, it is mainly infrared decoy trajectory correction. Finally, the simulation of infrared decoy was realized based on MOS dynamic infrared scene rendering and driving software.

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