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具有认知偏差的雷达对抗建模方法

马红光 龙正平 闫彬舟 宋小杉

马红光, 龙正平, 闫彬舟, 等. 具有认知偏差的雷达对抗建模方法[J]. 强激光与粒子束, 2024, 36: 043021. doi: 10.11884/HPLPB202436.230303
引用本文: 马红光, 龙正平, 闫彬舟, 等. 具有认知偏差的雷达对抗建模方法[J]. 强激光与粒子束, 2024, 36: 043021. doi: 10.11884/HPLPB202436.230303
Ma Hongguang, Long Zhengping, Yan Binzhou, et al. Modeling method for radar countermeasure with cognitive bias[J]. High Power Laser and Particle Beams, 2024, 36: 043021. doi: 10.11884/HPLPB202436.230303
Citation: Ma Hongguang, Long Zhengping, Yan Binzhou, et al. Modeling method for radar countermeasure with cognitive bias[J]. High Power Laser and Particle Beams, 2024, 36: 043021. doi: 10.11884/HPLPB202436.230303

具有认知偏差的雷达对抗建模方法

doi: 10.11884/HPLPB202436.230303
基金项目: 陕西省青年托举计划项目(XXJS202221)
详细信息
    作者简介:

    马红光,mahg@wavedesk.cn

  • 中图分类号: TP393

Modeling method for radar countermeasure with cognitive bias

  • 摘要: 认知偏差是认知电子战中的客观存在。基于动态博弈方法,针对认知雷达对抗过程中因不完整信息和测量误差导致的认知偏差,研究雷达对抗建模方法:以雷达抗干扰改善因子和干扰机干扰效益因子计算博弈双方的效益,采用精炼贝叶斯均衡建立动态雷达对抗模型,分析认知偏差造成的影响。仿真实验结果证明了所提方法的有效性。
  • 图  1  不同假目标识别概率的博弈结果

    Figure  1.  Results of game with different false target identification probabilities Pd

    图  2  认知偏差对收益的影响

    Figure  2.  Influence of cognitive bias on utilities

    表  1  AN/SPY-1D雷达参数

    Table  1.   Parameters of radar AN/SPY-1D

    central frequency fc/GHz bandwidth Wr/MHz range resolution Δr/m antenna aperture/m2 antenna gain G/dB beam width θr peak power Pt/MW pulse width τ/μs pulse press ratio k maximum range/km
    3.1~3.5 40 0.5~1 12 42 1.7°×1.7° 4~6 6.4~51 128 310
    下载: 导出CSV
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出版历程
  • 收稿日期:  2023-09-08
  • 修回日期:  2024-03-13
  • 录用日期:  2024-03-13
  • 网络出版日期:  2024-03-25
  • 刊出日期:  2024-02-29

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