Coherent beam combining based on the SPGD algorithm with a momentum term

作者：Jikun Song, Yuan-yang Li, Dongbo Che, Jin Guo, Tingfeng Wang · 年份：2020 · DOI：10.1016/j.ijleo.2019.163650 · 被引用次数：32 · 研究领域：Computer Science

Abstract The stochastic parallel gradient descent with a momentum term (named MomSPGD) algorithm is innovatively presented and applied for coherent beam combining to substitute for the traditional SPGD algorithm. The feasibility of coherent synthesis system using the MomSPGD algorithm is validated through numerical simulations and experiments. The results of the simulations and the experiment indicate that the proposed algorithm can improve convergence speed and immunity of the synthesis system compared with the traditional SPGD algorithm.