一种用于农业遥感的阵列天线波束优化方法

An Array Antenna Beam Optimization Method for Agricultural Remote Sensing

对于农业遥感阵列天线而言,需要对其合成的波束进行优化以应对不同的应用场景。本文介绍了一种解决农业遥感天线阵列波束形状优化问题的混合优化方法。该方法分为三步,首先使用迭代快速傅里叶变换(IFT),根据目标波束生成若干初始阵列激励,然后利用全局优化方法--差分进化算法(DE)在初始激励的基础上优化这些激励,若优化后的波束不能满足目标,再采用模拟退火(SA)方法进一步优化,直到实现目标或达到最大迭代次数。计算实例结果表明,本文提出的混合优化方法可以高效地得到遥感阵列天线所需的波束形状。

For agricultural remote sensing array antennas,it is necessary to optimize their synthesized beams to cope with different application scenarios.This article introduces a hybrid optimization method for optimizing the beam shape of agricultural remote sensing antenna arrays.This method is divided into three steps.Firstly,iterative fast Fourier transform(IFT)is used to generate several initial array excitations based on the target beam.Then,the global optimization method-differential evolution algorithm(DE)is used to optimize these excitations based on the initial excitations.If the optimized beam cannot meet the target,simulated annealing(SA)method is used to further optimize until the target is achieved or the maximum number of iterations is reached.The calculation example results show that the hybrid optimization method proposed in this paper can efficiently obtain the beam shape required for remote sensing array antennas.