An Array Antenna Beam Optimization Method for Agricultural Remote Sensing
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.
万方数据
维普
