Open AccessCovariance matrix adaptation evolution strategy based optical phase control
Author(s) -
Kim Hansol,
Jeong Yoonchan
Publication year - 2021
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
eISSN - 1350-911X
pISSN - 0013-5194
DOI - 10.1049/ell2.12174
Subject(s) - cma es , covariance matrix , algorithm , phase (matter) , covariance , channel (broadcasting) , computer science , evolution strategy , adaptation (eye) , matrix (chemical analysis) , mathematical optimization , beam (structure) , mathematics , estimation of covariance matrices , optics , physics , telecommunications , evolutionary computation , statistics , composite material , materials science , quantum mechanics
In this letter, an investigation of the use of a covariance matrix adaptation evolution strategy (CMA‐ES) algorithm is conducted as the phase‐locking method for multi‐channel coherent beam combining (CBC) for the first time. A comprehensive numerical analysis is carried out on the operational performances of the CMA‐ES based phase‐locking algorithm implemented into 7‐ and 19‐channel CBC systems in a filled‐aperture format. Through numerical simulations it can be verified that the CMA‐ES algorithm can readily lead to over 0.90 of normalised beam combining efficiency with appropriate algorithm parameter sets, which can also be optimised by a combinatorial study. The proposed CMA‐ES based phase‐locking algorithm is a feasible option for novel phase‐locking technique for a CBC system particularly when the local extremum issue becomes severe such as in CBC under turbulent atmospheric conditions.