Coherent beam combination far-field measuring method based on amplitude modulation and deep learning
Renqi Liu, Chun Peng, Xiaoyan Liang, Ruxin Li
Abstract
A deep convolutional neural network is employed to simultaneously measure the beam-pointing and phase difference of sub-beams from a single far-field interference fringe for coherent beam combining systems. The amplitudes of sub-beams in the measurement path are modulated in order to prevent measuring mistakes caused by the symmetry of beam-pointing. This method is able to measure beam-pointing and phase difference with an RMS accuracy of about 0.2 μrad and λ/250, respectively, in a two-beam coherent beam combining system.
Topics & Concepts
OpticsBeam (structure)Interference (communication)PhysicsMeasure (data warehouse)Phase (matter)AmplitudeReference beamLaser beam qualityModulation (music)Phase modulationNear and far fieldComputer scienceLaser beamsTelecommunicationsAcousticsChannel (broadcasting)LaserPhase noiseDatabaseQuantum mechanicsAdvanced Fiber Optic SensorsPhotonic and Optical DevicesAdvanced Measurement and Metrology Techniques