A new performance metric on sensorless adaptive optics imaging system

Jiang, Pengzhi; Liang, Yonghui; Xu, Jieping; Mao, Hongjun

doi:10.1016/j.ijleo.2015.10.051

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Cited by 8 publications

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“…To perform SPGD or any of its variant algorithms, a performance metric J (Figure 1) must be specified. Here, the mean radius of the intensity distribution [31] measured by the camera is adopted. Thus, the performance metric is expressed as…”

Section: Resultsmentioning

confidence: 99%

CoolMomentum-SPGD Algorithm for Wavefront Sensor-Less Adaptive Optics Systems

et al. 2023

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Instead of acquiring the previous aberrations of an optical wavefront with a sensor, wavefront sensor-less (WFSless) adaptive optics (AO) systems compensate for wavefront distortion by optimizing the performance metric directly. The stochastic parallel gradient descent (SPGD) algorithm is pervasively adopted to achieve performance metric optimization. In this work, we incorporate CoolMomentum, a method for stochastic optimization by Langevin dynamics with simulated annealing, into SPGD. Numerical simulations reveal that, compared with the state-of-the-art SPGD variant, the proposed CoolMomentum-SPGD algorithm achieves better convergence speed under various atmospheric turbulence conditions while requiring only two tunable parameters.

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Section: Resultsmentioning

confidence: 99%