Solving Surface Deformation of Radio Telescope Antenna by Artificial Neural Network
Solving Surface Deformation of Radio Telescope Antenna by Artificial Neural Network作者机构:School of Mechanical EngineeringShanghai Jiaotong UniversityShanghai 200240China Shanghai Astronomical ObservatoryChinese Academy of SciencesShanghai 200030China
出 版 物:《Research in Astronomy and Astrophysics》 (天文和天体物理学研究(英文版))
年 卷 期:2022年第22卷第3期
页 面:194-204页
核心收录:
学科分类:07[理学] 070401[理学-天体物理] 0704[理学-天文学]
基 金:supported by the National Key Research and Development Program of China:Research on Key Technologies of real-time shape control and ultra wideband pulsar signal processing for large aperture radio telescope,2021YFC2203501 the National Natural Science Foundation of China under project U1931137
主 题:methods:numerical telescopes waves scattering
摘 要:Recent investigations have derived the relation between the near-field plane amplitude and the surface deformation of reflector antenna,namely deformation-amplitude equation(DAE),which could be used as a mathematical foundation of antenna surface measurement if an effective numerical algorithm is *** algorithms are hard to work directly due to the complex mathematical *** paper presents a local approximation algorithm based on artificial neural network to solve *** length factor method is used to construct a trial solution for the deformation,which ensures the final solution always satisfies the boundary *** improve the algorithm efficiency,Adam optimizer is employed to train the network *** the application of the data normalization method proposed in this paper and a step-based learning rate,a further optimized loss function could be converged *** algorithm proposed in this paper could effectively solve partial differential equations without boundary conditions such as DAE,which at the same time contains the first-order and the second-order partial derivatives,and constant *** results show that compared with the original algorithm by Fast Fourier transform,this algorithm is more stable and accurate,which is significant for the antenna measurement method based on DAE.