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Radar Jamming Strategy Allocation Algorithm based on Improved Chaos Genetic Algorithm

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【作者】 Wei PanXiao JinHuixiang XieYu Xia

【Author】 Wei Pan;Xiao Jin;Huixiang Xie;Yu Xia;Noncommissioned Officer Academy,Army Artillery and Air Defense Forces Academy;

【机构】 Noncommissioned Officer Academy,Army Artillery and Air Defense Forces Academy

【摘要】 Aiming at the problem of how effectively interfere with multiple radars and improve the utilization efficiency of the jammers,this paper studies the evaluation criteria for the selection of jamming effect evaluation index.According to the evaluation criteria,the radar detection probability is selected as the index function to evaluate the jamming effect.The improved chaos genetic algorithm is applied to the allocation of interference strategy.This method solves the problems of traversing to find the optimal allocation of interference strategy,unable to adapt to the allocation of many-to-many interference and the large calculation compared with the allocation of one-to-many strategy.The simulation results show that this method not only improves the convergence,but also the convergence speed and the utilization efficiency of the jammer.

【Abstract】 Aiming at the problem of how effectively interfere with multiple radars and improve the utilization efficiency of the jammers,this paper studies the evaluation criteria for the selection of jamming effect evaluation index.According to the evaluation criteria,the radar detection probability is selected as the index function to evaluate the jamming effect.The improved chaos genetic algorithm is applied to the allocation of interference strategy.This method solves the problems of traversing to find the optimal allocation of interference strategy,unable to adapt to the allocation of many-to-many interference and the large calculation compared with the allocation of one-to-many strategy.The simulation results show that this method not only improves the convergence,but also the convergence speed and the utilization efficiency of the jammer.

【基金】 supported by National Nature Science Foundation under Grant 61773108
  • 【会议录名称】 第32届中国控制与决策会议论文集(2)
  • 【会议名称】第32届中国控制与决策会议
  • 【会议时间】2020-08-23
  • 【会议地点】中国安徽合肥
  • 【分类号】TN974;TP18
  • 【主办单位】东北大学、中国自动化学会信息物理系统控制与决策专业委员会
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