基于模糊机会约束规划的机会阵雷达方向图综合
发布时间：2019-02-24 16:47
【摘要】：针对机会阵雷达方向图综合的不确定问题,提出了一种基于模糊机会约束规划的方向图综合规划模型。该模型基于可信性理论,综合考虑天线单元分布的随机性以及激励状态的不确定性,将参与方向图综合时激励打开的天线数目看做一个梯形模糊变量,用以描述综合时的复杂不确定环境。随后,将规划模型转化为清晰等价形式,再结合遗传算法和灰关联综合评价法则设计了一种混合智能优化算法,用于求解该模型。以一维任意非均匀线阵为例,对主瓣宽度和最大副瓣电平进行了优化。仿真表明:优化后结果的可信性高于置信水平,验证了该算法的有效性。
[Abstract]:In view of the uncertain problem of the direction map of the opportunistic array, a comprehensive planning model of the direction map based on the fuzzy opportunity constraint planning is proposed. The model is based on the reliability theory, and the randomness of the antenna element distribution and the uncertainty of the excitation state are comprehensively considered, and the number of the antennas which are excited to be opened when the participation direction graph is integrated is regarded as a trapezoidal fuzzy variable, so as to describe the complex uncertain environment at the time of synthesis. Then, the planning model is transformed into a clear equivalent form, and a hybrid intelligent optimization algorithm is designed in combination with the genetic algorithm and the grey correlation comprehensive evaluation method, and is used for solving the model. The main lobe width and the maximum sidelobe level were optimized with one-dimensional arbitrary non-linear array. The simulation results show that the reliability of the optimized result is higher than the confidence level, and the validity of the algorithm is verified.
【作者单位】： 南京航空航天大学雷达成像与微波光子技术教育部重点实验室;南京电子技术研究所;
【基金】：国家自然科学基金(61071164,61271327) 江苏优势高校学科建设工程~~
【分类号】：TN957.2
本文编号：2429736
[Abstract]:In view of the uncertain problem of the direction map of the opportunistic array, a comprehensive planning model of the direction map based on the fuzzy opportunity constraint planning is proposed. The model is based on the reliability theory, and the randomness of the antenna element distribution and the uncertainty of the excitation state are comprehensively considered, and the number of the antennas which are excited to be opened when the participation direction graph is integrated is regarded as a trapezoidal fuzzy variable, so as to describe the complex uncertain environment at the time of synthesis. Then, the planning model is transformed into a clear equivalent form, and a hybrid intelligent optimization algorithm is designed in combination with the genetic algorithm and the grey correlation comprehensive evaluation method, and is used for solving the model. The main lobe width and the maximum sidelobe level were optimized with one-dimensional arbitrary non-linear array. The simulation results show that the reliability of the optimized result is higher than the confidence level, and the validity of the algorithm is verified.
【作者单位】： 南京航空航天大学雷达成像与微波光子技术教育部重点实验室;南京电子技术研究所;
【基金】：国家自然科学基金(61071164,61271327) 江苏优势高校学科建设工程~~
【分类号】：TN957.2
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