机载分布式智能蒙皮波束综合算法研究  

Research on pattern synthesis of the distributed airborne smart skin

作　　者：王力[1] 于大群[1] 王奇[2] WANG Li;YU Daqun;WANG Qi(The 14th Research Institute of China Electronics Technology Group Corporation,Nanjing 210039,China;Dalian University of Technology,Dalian 116024,China)

机构地区：[1]中国电子科技集团公司第十四研究所,南京210039 [2]大连理工大学,大连116024

出　　处：《电波科学学报》2024年第2期237-243,共7页Chinese Journal of Radio Science

摘　　要：针对机载智能蒙皮天线孔径共形和分布化的特点,开展了基于Broyden族算法的波束综合优化研究。算法以最小化副瓣电平为优化目标,通过K-S函数连续化处理,实现低副瓣波束赋形。通过不同的加权方式对算法的有效性进行了验证,相与遗传算法(genetic algorithm,GA)等随机优化算法,本文算法收敛速度快,能够避免陷入局部最优,适用于大规模非均匀共形天线阵列,具有较高的工程应用价值。In this paper,a fast optimization base on Broyden algorithm for the pattern synthesis of the distributed airborne conformal smart skin is presented.This algorithm takes minimizing the side lode level as the goal by continuative process using K-S function,and low side lobes can be realized.The efficiency for this algorithm is verified by simulation using different weighting method.Compared to the stochastic algorithm such as genetic algorithm,convergence velocity of this algorithm is faster and can avoid local optimum.This algorithm is suitable for pattern synthesis of the large scale conformal antenna array,and it can find wide engineering application value in the future.

关 键 词：智能蒙皮 波束综合 共形天线 优化算法 遗传算法(GA) 

分 类 号：TN958.92[电子电信—信号与信息处理]