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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。
Aiming at the uncertainty of the synthesis of the radar pattern of the opportunity array, a comprehensive pattern planning scheme based on the fuzzy chance constrained programming is proposed. Based on the credibility theory, considering the randomness of antenna element distribution and the uncertainty of excitation state, the model considers the number of antennas that are excited when the pattern is integrated into a trapezoidal fuzzy variable to describe the complexity of synthesis Determine the environment. Subsequently, the planning model is transformed into a clear equivalent form, and then a hybrid intelligent optimization algorithm is designed to solve the model by combining the genetic algorithm and the gray relational comprehensive evaluation rule. Taking the one-dimensional arbitrary non-uniform linear array as an example, the main lobe width and the maximum sidelobe level are optimized. The simulation shows that the credibility of the optimized result is higher than the confidence level, which verifies the effectiveness of the algorithm.