基于改進(jìn)自適應(yīng)遺傳算法的矩形陣列優(yōu)化

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中圖分類(lèi)號(hào)：TN820 文獻(xiàn)標(biāo)志碼：A 文章編號(hào)：1672-1098（2025）02-0026-08

引文格式：，.基于改進(jìn)自適應(yīng)遺傳算法的矩形陣列優(yōu)化[J].安徽理工大學(xué)學(xué)報(bào)（自然科學(xué)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

在實(shí)際應(yīng)用中，為了使天線(xiàn)具有較強(qiáng)的方向性和很高的增益，或者使天線(xiàn)波束具有一定的形狀等，需要利用多個(gè)天線(xiàn)陣元按一定方式排列，構(gòu)成陣列天線(xiàn)。（剩余10832字）