Volume 48 Issue 11
Nov.  2022
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WU Xin, WU Youli, NIU Deqing, et al. Application of data cube association mining in infrared anti-jamming[J]. Journal of Beijing University of Aeronautics and Astronautics, 2022, 48(11): 2304-2313. doi: 10.13700/j.bh.1001-5965.2021.0096(in Chinese)
Citation: WU Xin, WU Youli, NIU Deqing, et al. Application of data cube association mining in infrared anti-jamming[J]. Journal of Beijing University of Aeronautics and Astronautics, 2022, 48(11): 2304-2313. doi: 10.13700/j.bh.1001-5965.2021.0096(in Chinese)

Application of data cube association mining in infrared anti-jamming

doi: 10.13700/j.bh.1001-5965.2021.0096
Funds:

National Natural Science Foundation of China 61973253

More Information
  • Corresponding author: WU Youli, E-mail: 18359943663@163.com
  • Received Date: 01 Mar 2021
  • Accepted Date: 01 Jun 2021
  • Publish Date: 06 Jul 2021
  • This study aims at analyzing the coupling relationship between disturbance variables and miss distance of air-to-air missiles in infrared anti-jamming. Massive data are obtained by setting disturbance variables through an experimental simulation platform. The data cube is then constructed to preprocess the massive data and compute the support count of each transaction. The processed data are used to mine the association rules between disturbance variables and miss distance by FP-Growth algorithm. Analysis of the association rules show that the entry angle of the missile and the distance between the missile and the target are the main factors for miss distance. The disturbance variables cannot be combined freely, but should be selected according to the attack direction of the missile and the target maneuver mode. Otherwise, the jamming effect will be greatly reduced. A group of comparative experiments is also set up to verify the high efficiency of FP-Growth algorithm based on the data cube in processing the miss distance data with a high dimension.

     

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  • [1]
    李立坤. 精确制导技术现状及发展方向[J]. 航空兵器, 2004(1): 1-4. doi: 10.3969/j.issn.1673-5048.2004.01.001

    LI L K. Present situation and development direction of precision guidance technology[J]. Aero Weaponry, 2004(1): 1-4(in Chinese). doi: 10.3969/j.issn.1673-5048.2004.01.001
    [2]
    王晓铭, 王玫. 防空导弹武器抗干扰试验技术[J]. 上海航天, 2013, 30(2): 34-38. doi: 10.3969/j.issn.1006-1630.2013.02.008

    WANG X M, WANG M. ECCM test technology for antiaircraft missile weapon system[J]. Aerospace Shanghai, 2013, 30(2): 34-38(in Chinese). doi: 10.3969/j.issn.1006-1630.2013.02.008
    [3]
    胡朝晖, 闫杰. 红外空空导弹抗干扰性能评估方法研究[J]. 空军工程大学学报(自然科学版), 2008, 25(3): 45-52.

    HU Z H, YAN J. An evaluation method of infrared missile countermeasures performance[J]. Journal of Air Force Engineering University(Natural Science Edition), 2008, 25(3): 45-52(in Chinese).
    [4]
    王涛, 王祥. 红外导弹抗干扰能力多维度评估方法[J]. 红外技术, 2014, 36(7): 573-576.

    WANG T, WANG X. An evaluation method with five dimensions for infrared missile anti-jamming[J]. Infrared Technology, 2014, 36(7): 573-576(in Chinese).
    [5]
    李慎波, 李韬锐, 童中翔, 等. 导弹战术参数对面源红外诱饵干扰效能影响[J]. 红外与激光工程, 2018, 47(7): 1-10.

    LI S B, LI T R, TONG Z X, et al. Influence of tactical parameters of missile on jamming effectiveness of surface source infrared decoy[J]. Infrared and Laser Engineering, 2018, 47(7): 1-10(in Chinese).
    [6]
    牛得清, 伍友利, 徐洋, 等. 点源红外诱饵干扰下环境复杂度量化建模[J]. 红外与激光工程, 2020, 49(2): 211-219.

    NIU D Q, WU Y L, XU Y, et al. Quantification modeling for environmental complexity under point source infrared decoy interference[J]. Infrared and Laser Engineering, 2020, 49(2): 211-219(in Chinese).
    [7]
    马潮, 陆志沣, 余海鸣, 等. 红外成像导引头抗干扰性能评估方法研究[J]. 空天防御, 2018, 1(4): 44-47.

    MA C, LU Z F, YU H M, et al. Research on evaluation method of anti-interference performance of infrared seeker[J]. Air & Space Defense, 2018, 1(4): 44-47(in Chinese).
    [8]
    葛辰杰, 陆志沣, 洪泽华, 等. 基于支持向量回归与多核集成的红外成像导引头抗干扰性能评估方法[J]. 上海航天, 2019, 36(5): 94-98.

    GE C J, LU Z F, HONG Z H, et al. Anti-interference capability evaluation based on SVM regression and multi-kernel boosting[J]. Aerospace Shanghai, 2019, 36(5): 94-98(in Chinese).
    [9]
    杨开, 李少毅, 张凯, 等. 基于朴素贝叶斯分类器的空中红外目标抗干扰识别方法研究[J]. 飞控与探测, 2019, 2(4): 62-70.

    YANG K, LI S Y, ZHANG K, et al. Research on anti-jamming recognition method of aerial infrared target based on naive Bayes classifier[J]. Flight Control & Detection, 2019, 2(4): 62-70(in Chinese).
    [10]
    周卫文, 康美玲, 周泽强. 红外诱饵对成像制导导弹影响规律研究[J]. 红外与激光工程, 2019, 48(12): 118-124.

    ZHOU W W, KANG M L, ZHOU Z Q. Research of infrared flares influence mechanism on the imaging guidance missile[J]. Infrared and Laser Engineering, 2019, 48(12): 118-124(in Chinese).
    [11]
    张志波, 童中翔, 王超哲, 等. 视线方向飞机红外辐射特性建模与仿真[J]. 激光与红外, 2013, 43(8): 890-895.

    ZHANG Z B, TONG Z X, WANG C Z, et al. Modeling and simulation of airplane infrared characteristic along the sightline[J]. Laser & Infrared, 2013, 43(8): 890-895(in Chinese).
    [12]
    LI S, ZHANG K, YIN J, et al. A study on IR target recognition approach in aerial jamming environment based on Bayesian probabilistic model[J]. IEEE Access, 2019, 7: 50300-50316.
    [13]
    XU Y, FANG Y W, WU Y L, et al. Association rule mining for the infrared countermeasure by the PF-Growth algorithm[C]//Proceedings of the 37th China Control Conference, 2018: 8043-8048.
    [14]
    FREDERIC G, LAKSHMANAN L V S. nD-SQL: A multi-dimensional language for interoperability and OLAP[C]//International Conference on VLDB, 1998: 134-145.
    [15]
    冯玉才, 向隆刚. 维上带层次数据立方的自底向上计算[J]. 小型微型计算机系统, 2004(8): 1477-1481.

    FENG Y C, XIANG L G. Bottom-up computation of data cube with hierarchy along dimension[J]. Journal of Chinese Computer Systems, 2004(8): 1477-1481(in Chinese).
    [16]
    TAN P N, STEINBACH M, KUMAR V. Association analysis: Basic concepts and algorithms[M]. 3rd ed. Beijing: Posts and Telecom Press, 2011: 200-240.
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