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基于混合智能算法的通信干扰装备分配优化 被引量:3

Allocation of Communication Jamming Equipment Based on Hybrid Intelligent Algorithm
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摘要 如何充分利用有限的装备干扰众多的敌方通信电台,成为指挥员面临的棘手问题。将战术指标——干扰后的通信畅通区覆盖程度作为评估通信干扰装备分配优劣的指标,分别建立了单机和多部干扰时的通信干扰有效压制区和通信畅通区边界的计算模型,并给出了通信干扰有效压制区和通信畅通区面积的计算方法。构建了基于机会约束规划的空域频域通信干扰任务分配模型,并设计了混合蚁群算法和遗传算法的模型求解算法。最后进行了仿真实验,验证分析了模型和算法的合理性。研究成果为通信对抗战术计算和作战运用研究拓展了思路。 How to make full use of limited equipment to interfere numerous enemy communication radios becomes a thorny problem for the commander. This article will assess the tactical communication jamming equipment indicators--smooth communication coverage area after interference as indicators of the merits of distribution. Then, this article respectively establishes calculation models of the border area of communication jamming effectively suppress area and smooth communication coverage area when the target is jammed by single jammer or multiple jammers, and provides the calculation method of communication jamming effectively suppress area and smooth communication coverage area. Based on chance-constrained programming, the airspace frequency-domain communication interference task allocation model is constructed; a hybrid ant colony algorithm and genetic algorithm as the model algorithm is designed. Finally, the simulation experiment analyses verify the rationality of the model and algorithm. Research results for communication countermeasure tactics calculation and combat use of study expand the idea.
机构地区 电子工程学院
出处 《指挥控制与仿真》 2012年第3期35-40,共6页 Command Control & Simulation
基金 国防预研基金资助项目
关键词 通信干扰 任务分配 通信畅通区 机会约束 蚁群算法 遗传算法 仿真 communication jamming task allocation smooth communication area chance-constrained ant colony algorithm genetic algorithm simulation
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