基于改进自适应遗传算法的矩形阵列优化

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中图分类号：TN820 文献标志码：A 文章编号：1672-1098（2025）02-0026-08

引文格式：，.基于改进自适应遗传算法的矩形阵列优化[J].安徽理工大学学报（自然科学版），2025，45（2）：26-33.DOI：10.3969/j.issn.1672-1098. 2025.02.004

Rectangular Array Optimization Based on Improved Adaptive Genetic Algorithm

LINHan，ZHANG Renhai

（Scholof ElectricalandInformationEngineering，Anhui UniversityofScienceandTechnology，HuainanAnhui23201，China） Abstract：Objective To solve the problems of high peak sidelobeand low radiation directivity in multi-constrained rectangular sparse array. Methods A comprehensive optimization algorithm based on the improved adaptive genetic algorithm was proposed.Based on adaptive genetic algorithm，the algorithm adopted the roulete strategy and the elite retention strategy.In consideration of the constraints of array spacing comprehensively，the initial matrix was constructed by introducing thereal-valued intermediate initial population transformation to the real distance interval，which reduced the search space of the algorithmand improved the optimization eficiency.Finall，the control population fitnessconcentration mechanism was added in the process of adaptive cross-variation so that the algorithm gotridof local optimization and avoided individual prematurity in the later stage of evolution.Results The simulation results proved that the new algorithm was able to suppressefectively the peak sidelobe level of rectangular aray pattern. Conclusion The new algorithm has a stable optimization ability and the significant improvement to the optimization effect of reducing the peak sidelobe level.

Key Words ： adaptive genetic algorithm;peak sidelobe level;sparse array optimization; Rectangular planar array

在实际应用中，为了使天线具有较强的方向性和很高的增益，或者使天线波束具有一定的形状等，需要利用多个天线阵元按一定方式排列，构成阵列天线。（剩余10832字）