Performance analysis of coherent optical communication based on hybrid algorithm

Liu, Wei; Jin, Dairan; Shi, Wenxiao; Cao, Jingtai

doi:10.1016/j.optlastec.2022.107878

Cited by 11 publications

(4 citation statements)

References 20 publications

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“…Currently, a variety of control algorithms for WFSless AOSs have been explored. Besides of the traditional stochastic parallel gradient descent (SPGD) algorithm [9][10][11] , the hill-climbing method [12,13] and simulated annealing [14,15] has also been widely used [16] . In additionally, phase diversity techniques [17,18] , genetic algorithms [19] , trust region method [20] and model-based approaches [21][22][23] can also undertake the control work of this system.…”

Section: Introductionmentioning

confidence: 99%

“…In an effort to resolve the slow convergence and propensity for falling into local optima associated with the SPGD algorithm, researchers have explored innovative solutions. For instance, Liu et al introduced a hybrid approach that harnesses the fast initial convergence rate of the simulated annealing algorithm with the consistent convergence effects of SPGD, enhancing overall correction effectiveness [16] . Additionally, in the context of free-space optical communication (FSOC) systems, another study proposed a method that combines the Martin algorithm for addressing low-order Zernike coefficients and SPGD for high-order coefficients, significantly reducing processing time and improving correction capabilities beyond what SPGD can achieve alone [26] .…”

Section: Introductionmentioning

confidence: 99%

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Point source wavefront reconstruction using Swin-UNet in sensorless adaptive optics systems with CCD light intensity images

Zhang,

Zuo,

Cui

et al. 2024

Sixth Conference on Frontiers in Optical Imaging and Technology: Novel Technologies in Optical Systems

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Adaptive optics (AO) systems are trending towards miniaturization and cost reduction, with wavefront sensorless adaptive optics systems (WFSless AOSs) emerging as a field of interest due to their simple structure and application versatility. The advent of deep learning has propelled the use of convolutional neural networks (CNNs) to extract aberration information from CCD images. Nevertheless, CNNs often fail to focus on the regions of images where effective information is concentrated, which limits the accuracy in aberration extraction. This paper introduces a novel Swin-UNet-based model for WFSless AOSs based on point source that employs an attention mechanism to target relevant areas within CCD light intensity images, thus addressing CNN shortcomings. Furthermore, the proposed model fuses in-focus and out-of- focus image information to directly output the reconstructed wavefront image, enhancing the overall wavefront reconstruction process. Our simulations across various D/r0 ratios reveal significant improvements with the Swin-UNet-based model: a reduction in rms wavefront error from 0.0219 to 0.0061 wavelengths at D/r0=1, from 0.0806 to 0.03825 at D/r0=6, and from 0.1241 to 0.0991 at D/r0=11. Correspondingly, the Strehl ratio improved from 0.9950 to 0.9988, from 0.8380 to 0.9567, and from 0.6814 to 0.7522, indicating enhanced image quality post-correction. Compared with existing CNN-based technology, our Swin-UNet approach can more effectively concentrate on the relevant areas of the image and mitigate the influence of invalid regions on the analysis, thereby substantially improving the effectiveness and robustness of the correction performance in WFSless AOSs.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Point source wavefront reconstruction using Swin-UNet in sensorless adaptive optics systems with CCD light intensity images

Zhang,

Zuo,

Cui

et al. 2024

Sixth Conference on Frontiers in Optical Imaging and Technology: Novel Technologies in Optical Systems

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“…Free space optical communication technology has unique advantages over traditional microwave communication, such as high communication rate, wide available frequency band, good confidentiality, and no spectrum licensing 1 – 5 When common-fiber optical devices, such as optical fiber amplifiers based on single-mode fibers, are used in free-space laser communication systems, the laser beam has to be coupled to a single mode fiber. However, in the coupling process from space light to single-mode fiber, the limitation of the core size of single-mode fiber, the static angle error and angle jitter caused by platform vibration, atmospheric turbulence, and other factors make the focusing spot unable to accurately align with the center of the fiber core, resulting in great energy loss in the coupling into the fiber, which seriously affects the communication efficiency of the communication system and the reliability of the communication link 6 …”

Section: Introductionmentioning

confidence: 99%

KSPGD algorithm to restrain the influence of measurement noise in adaptive fiber coupling

Peng,

Mao,

2023

Opt. Eng.

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The adaptive coupling of the laser beam from space to single-mode fiber plays an important role in free space optical communication. A typical adaptive algorithm is stochastic parallel gradient descent algorithm (SPGD), which measures the performance index value to estimate the gradient value to maximize the coupling efficiency. It is conceivable that the presence of performance index measurement noise will have a great influence on the convergence performance of the algorithm. We propose an improved Kalman stochastic parallel gradient descent algorithm (KSPGD). Specifically, considering the influence of measurement noise on gradient estimation, we introduce the gradient prediction model in the iterative optimization process and then use the Kalman filter to estimate the gradient of the current iteration point. Kalman filter algorithm and optimization algorithm are integrated together. Simulation and experimental results show that the KSPGD algorithm can better restrain the influence of measurement noise on the convergence performance of the algorithm than the SPGD algorithm.

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“…Optimal control algorithms for wavefront sensorless adaptive optical systems have been divided into two categories: modal-based and modal-free. The mathematical modalbased optimization algorithms include the modal method [13][14][15] and the geometric principle method [16][17][18][19]. In theory, the mathematical modal-based method requires the construction of a mathematical model of the system according to basic functions with the objective of faster convergence.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Optical Closed-Loop Control Based on the Single-Dimensional Perturbation Descent Algorithm

Chen

Zhou

et al. 2023

Sensors

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Modal-free optimization algorithms do not require specific mathematical models, and they, along with their other benefits, have great application potential in adaptive optics. In this study, two different algorithms, the single-dimensional perturbation descent algorithm (SDPD) and the second-order stochastic parallel gradient descent algorithm (2SPGD), are proposed for wavefront sensorless adaptive optics, and a theoretical analysis of the algorithms’ convergence rates is presented. The results demonstrate that the single-dimensional perturbation descent algorithm outperforms the stochastic parallel gradient descent (SPGD) and 2SPGD algorithms in terms of convergence speed. Then, a 32-unit deformable mirror is constructed as the wavefront corrector, and the SPGD, single-dimensional perturbation descent, and 2SPSA algorithms are used in an adaptive optics numerical simulation model of the wavefront controller. Similarly, a 39-unit deformable mirror is constructed as the wavefront controller, and the SPGD and single-dimensional perturbation descent algorithms are used in an adaptive optics experimental verification device of the wavefront controller. The outcomes demonstrate that the convergence speed of the algorithm developed in this paper is more than twice as fast as that of the SPGD and 2SPGD algorithms, and the convergence accuracy of the algorithm is 4% better than that of the SPGD algorithm.

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Performance analysis of coherent optical communication based on hybrid algorithm

Cited by 11 publications

References 20 publications

Point source wavefront reconstruction using Swin-UNet in sensorless adaptive optics systems with CCD light intensity images

Point source wavefront reconstruction using Swin-UNet in sensorless adaptive optics systems with CCD light intensity images

KSPGD algorithm to restrain the influence of measurement noise in adaptive fiber coupling

Adaptive Optical Closed-Loop Control Based on the Single-Dimensional Perturbation Descent Algorithm

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