39 results about "Adaptive optics systems" patented technology

The invention discloses a self-adaptive optical system parameter adjusting method and device combining offline pre-training and online reinforcement learning, and belongs to the field of intelligent control combining self-adaptive optics and reinforcement learning. Multi-modal state modeling, off-line strategy pre-training and an online strategy enhancement mechanism guided by behavior advantages are introduced, and key control parameters in the AO system are dynamically optimized by using a reinforcement learning algorithm. According to the method, multi-modal heterogeneous data can be effectively integrated, the dynamic modeling and prediction capability of the system is improved, and stable, efficient and robust control strategy updating is realized.

The invention discloses an optical fiber laser phased array self-adaptive optical system based on an integrated optical chip. The optical fiber laser phased array self-adaptive optical system comprises a self-adaptive optical fiber coupler array, the integrated optical chip, an optical fiber splitter, a photoelectric detector, a control platform and a high-voltage amplifier. The integrated optical chip comprises an optical fiber coupling interface, a waveguide, a phase shifter, a Mach-Zehnder intensity modulator and the like. The adaptive optical fiber coupler array couples incident light to the optical fiber array, and corrects tilt aberration based on an optimization control algorithm to realize efficient adaptive coupling of spatial light to optical fibers; the sub-beams enter an integrated optical chip through an optical fiber coupling interface, phase and intensity modulation is performed on the sub-beams in the optical chip based on an optimization control algorithm, and co-phase synthesis output of the beams is realized; the output light is divided into two paths by the optical fiber splitter, one path is connected with the photoelectric detector for control, and the other path is connected with the application end. Based on light path reciprocity, the system has a transmitting or receiving and transmitting integrated function, and has important application prospects in the fields of space optical communication, laser energy transfer and the like.

The invention discloses an atmospheric turbulence phase screen generation method based on layered physical constraints, and belongs to the crossing field of optical communication and artificial intelligence. According to the method, a diffusion probability model is combined with layered atmospheric physical constraints, independent physical constraint loss functions are established for a boundary layer, a troposphere and a stratosphere of the atmosphere, and it is ensured that a generated phase screen conforms to turbulent flow statistical characteristics of all layers through power spectrum density constraints and structure function constraints; enhancing feature learning of each layer of phase screen by adopting a physically guided attention mechanism; and designing a time-dependent constraint weight strategy, and adaptively adjusting the physical constraint strength in the diffusion denoising process. The method solves the technical problems that the vertical layering difference is ignored, the physical consistency is insufficient, and the generation quality depends on a large amount of labeled data in the existing method, is particularly suitable for high-fidelity atmospheric turbulence modeling of a satellite laser communication link, and can also be widely applied to the fields of free space optical communication system simulation, adaptive optical system design and the like.

The invention discloses a deep learning wavefront phase reconstruction method for a Shack-Hartmann wavefront sensor with a flexible reference base point, and belongs to the technical field of wavefront detection. The method comprises the following steps: constructing a simulation data set containing error-free and error-containing image pairs by simulating atmospheric turbulence wavefront distortion, sensor camera position errors, system non-common-path errors and a deformable mirror influence function; constructing a two-arm CSwinUnet network, taking the image pair as input, and outputting a wavefront phase error; the network adopts a CSwinin-Transform block and a cross attention mechanism to extract features, and multi-scale information is fused in combination with jump connection; before training, threshold processing and normalization are carried out on an image, and an Adam optimizer and a mean square error loss function are adopted for training. According to the method, high-precision and high-resolution wavefront reconstruction can be realized, the method has millisecond-level operation speed, and the wavefront detection capability of the adaptive optical system is remarkably improved.

The invention belongs to the technical field of flexible mechanical arms and intelligent sensing, and relates to a flexible visual tactile finger and gripper based on a multi-mirror optical system.The finger comprises a finger body base and a flexible finger body framework installed on the finger body base, and the flexible finger body framework is of a bionic fin ray effect structure; the bionic fin ray effect structure is formed by hinging a front beam, a rear beam and rigid side beams arranged on the two sides of the front beam and the two sides of the rear beam. The front beam is provided with a touch sensing pad; a plurality of reflectors are arranged in the bionic fin ray effect structure and on the rear beam, and the reflectors independently face the tactile sensing pad; the finger body base is further provided with an image collector, and the image collector obtains multi-angle visual information through the body and the multiple reflectors. The invention innovatively designs a self-adaptive optical system with multiple sections of mirror surfaces capable of passively deforming along with the structure and a multifunctional sensing layer without sacrificing flexibility, so that the finger still keeps extreme flexibility while having high-performance sensing.

The present application relates to the technical field of wavefront sensing-free adaptive optical system, in order to solve the technical problems of insufficient real-time, poor robustness under strong turbulence and Zernike coefficient sign ambiguity of existing algorithm, an adaptive optical system wavefront recovery method based on deep learning hybrid model is proposed, by inputting the turbulence degradation PSF image into the deep learning hybrid model to realize feature extraction, abstraction and globalization processing, outputting the Zernike coefficient to recover its sign and optimize, by learning the nonlinear mapping relationship between the turbulence degradation PSF and the wavefront, the iterative optimization step in the existing method is avoided, and the real-time and stability of the wavefront recovery are improved.

The invention discloses a high-fidelity dynamic turbulence phase screen rapid generation method based on a digital twinning technology, belongs to the technical field of atmospheric turbulence simulation, and solves the problem that the physical property interpretability of a model is insufficient due to the fact that the training process of an existing neural network dynamic turbulence generation model directly depends on initial phase screen characteristics. The method comprises the following steps: decomposing an initial phase screen based on a turbulence characteristic decomposition and extraction module Rand-Net; capturing spatial structure characteristics of the phase screen by adopting a convolutional network CNN, carrying out explicit correlation on a wind speed vector by utilizing a space-time convolution kernel, modeling a phase screen time evolution process driven by the wind speed, and outputting a phase screen at the next moment; based on the digital twinning technology, data such as a physical model and operation history are fully utilized, a phase screen generation frame with both physical rule controllability and calculation efficiency is constructed, and meanwhile, a reliable technical means is provided for high-precision modeling of a self-adaptive optical system through rapid generation of the high-fidelity dynamic turbulence phase screen.

The application discloses a wavefront correction method for a wavefront detection-free adaptive optical system based on deep learning, comprising the following steps: S110, constructing a neural network to train a mapping relationship from far-field focal plane light intensity to corresponding complex conjugate wavefront data; S120, constructing a data set, taking the far-field focal plane light intensity as the input of the neural network, and taking a pair of complex conjugate wavefront data corresponding to the far-field focal plane light intensity as the standard output of the neural network; S130, using a loss function to process the loss of back propagation, and making the network learn a certain mapping relationship by taking a smaller loss; and S140, designing a wavefront correction algorithm for the neural network of the wavefront detection-free adaptive optical system to realize closed-loop correction of the wavefront detection-free adaptive optical system. According to the technical scheme, the wavefront correction speed and precision are greatly improved, and fast and high-precision wavefront correction of the wavefront detection-free adaptive optical system is realized.

A multiplexing adaptive optics method for deep-tissue imaging is provided, comprising: providing a first optical beam and a group of second optical beams, each with lower intensity and distinct modulation frequencies; combining the beams with temporal overlap to form a composite excitation beam; focusing the composite beam into a sample such that the second optical beams are laterally separated in the focal plane; detecting a signal excited by the composite beam; demodulating the signal with reference frequencies to compute phase and amplitude data at each modulation frequency and obtain a second signal; performing spatial measurements of the first beam relative to the second beams to derive down-sampled electric-field point spread functions; and merging the functions to reconstruct a full-sampled point spread function for identifying and correcting optical aberrations within the sample.

The invention discloses a solar adaptive telescope which comprises a primary mirror, a secondary mirror, a front reflector group, a wavefront corrector, a rear reflector group, a beam splitter, an observation system, a wavefront sensor and a wavefront controller. A pupil plane conjugate position is constructed in a reflex light path of the telescope, and a wavefront corrector is placed, so that high integration of the solar telescope and the adaptive optical system is realized. Compared with a method for transforming a secondary mirror or a third mirror, a fourth mirror and the like of the telescope into a high-precision deformation secondary mirror, the method does not change the main body structure of the original telescope, only needs to reasonably adjust the reflex light path of the original telescope, and avoids redesign and structural transformation of systems such as a support system and a thermal control system caused by adopting a complex deformation secondary mirror. The invention has the advantages of wide application range, strong flexibility, simplified optical system structure, reduced number of optical elements and the like, and can effectively reduce the inherent aberration and stray light of the system and improve the utilization efficiency of solar energy.

The application discloses a kind of adaptive optics real-time controller hardware architecture based on multi-core CPU and GPU.Shack-Hartmann wavefront sensor sub-aperture slope calculation, wavefront recovery and wavefront control are completed in parallel by multi-core CPU and GPU using the real-time controller hardware architecture.The application uses general multi-core CPU and GPU as computing platform, after receiving image data in multi-core CPU, part of sub-aperture image data is transmitted to GPU by PCIE bus using a CPU core, and wavefront calculation task of the part of sub-aperture is completed by GPU;At the same time, the remaining CPU core is used to complete the remaining sub-aperture wavefront calculation task in parallel, to reduce the purpose of real-time controller calculation delay.The application uses multi-core CPU and GPU in parallel to complete wavefront calculation task, to reduce the effect of adaptive optics real-time controller calculation delay, to meet the real-time requirement of adaptive optics system to real-time controller, especially suitable for next-generation large-aperture ground-based telescope adaptive optics system real-time control.

An adaptive optics system is provided using a nonuniform Shack-Hartmann wavefront sensor (NSHWS) including an array of nonuniform lenslets, with an orthogonal polynomial used to determine a size and a placement for each lenslet and an array of detectors located in a focal plane of the array of nonuniform lenslets with a detector corresponding to each lenslet.

The invention relates to the technical field of wavefront-sensing-free adaptive optical systems, and provides an adaptive optical system wavefront recovery method based on a deep learning hybrid model in order to solve the technical problems that an existing algorithm is insufficient in real-time performance, poor in robustness under strong turbulence and fuzzy in Zernike coefficient symbol. A turbulence degradation PSF image is input into a deep learning hybrid model to realize feature extraction, abstraction and global processing, a Zernike coefficient is output to perform symbol recovery and optimization on the turbulence degradation PSF image, and an iterative optimization step in an existing method is avoided by learning a nonlinear mapping relation between the turbulence degradation PSF and a wavefront, so that the robustness of the method is improved. And the real-time performance and the stability of wavefront recovery are improved.

A wavefront control device to which the present invention is applied is provided with: an optical frequency comb generation unit that emits an optical frequency comb having a plurality of optical pulses disposed in numerical order on a time axis; and a wavefront synthesis unit that distributes the plurality of optical pulses of the optical frequency comb incident from the optical frequency comb generation unit to positions different from each other according to the relative phases thereof with respect to the first optical pulse on a plane crossing the traveling direction of the optical frequency comb, and generates a synthesized wavefront of the optical pulses emitted from the positions different from each other. The optical frequency comb generation unit is provided with a phase control unit that controls the repetition frequency and offset frequency of the optical frequency comb.

The application relates to a coaxial multi-waveband different magnification beam expanding system based on a fold-diffraction hybrid lens, which comprises a first lens group and a second lens group which are coaxially arranged in sequence along the light ray incidence direction, and the axial mechanical distance between the first lens group and the second lens group is fixed; the first lens group is a fold-diffraction hybrid element with positive focal power, the divergence ability of the diffraction surface of the first lens group is enhanced with the increase of the wavelength, so that the total equivalent focal length of the first lens group is increased with the increase of the wavelength; the second lens group is a fold-diffraction hybrid element with positive focal power, the convergence ability of the diffraction surface of the second lens group is enhanced with the increase of the wavelength, so that the total equivalent focal length of the second lens group is decreased with the increase of the wavelength. The application designs a self-adapting optical system which can work coaxially at the fiber outlet directly, and can automatically reduce the long-wavelength light spot to avoid the aperture obstruction, while keeping the short-wavelength light spot large to fill the entrance pupil.

The application discloses a Shack-Hartmann-based centroid calculation acceleration method, which determines the effective row pixel range of a sub-aperture by the spot intensity information in the Shack-Hartmann sub-aperture, selects the effective pixels in a single Shack-Hartmann sub-aperture for centroid calculation, avoids waiting for the invalid pixels in the sub-aperture in the image acquisition process, thereby accelerating the centroid calculation speed, and improving the control bandwidth of an adaptive optical system without affecting the wavefront recovery accuracy.

The application discloses a solar adaptive telescope, which comprises a primary mirror, a secondary mirror, a front mirror group, a wavefront corrector, a rear mirror group, a beam splitter, an observation system, a wavefront sensor and a wavefront controller. The wavefront corrector is placed in the pupil conjugate position of the folded light path of the telescope, so that the high integration of the solar telescope and the adaptive optical system is realized. Compared with the method of transforming the secondary mirror or the third mirror and the fourth mirror into a high-precision deformable secondary mirror, the original telescope main structure is not changed, and only the folded light path of the original telescope needs to be reasonably adjusted, so that the redesign and structural transformation of the support and thermal control system caused by the use of the complex deformable secondary mirror are avoided. The application has the advantages of wide application range, strong flexibility, simplified optical system structure, reduced number of optical elements and the like, and can effectively reduce the system inherent aberration and stray light and improve the solar energy utilization efficiency.

The invention belongs to the technical field of laser wireless energy transmission. The invention provides a self-adaptive optical system applied to laser wireless energy transmission and a use method of the self-adaptive optical system. According to the embodiment of the invention, the beacon light transmitting module and the photovoltaic array feature marking module are arranged at the photovoltaic array, so that the atmospheric turbulence disturbance information and the projection shape of the photovoltaic array can be dynamically fed back in real time, the wavefront phase distribution of the emergent laser beam is controlled in real time at the light beam transmitting end, and atmospheric turbulence disturbance compensation is realized. According to the method, the light intensity distribution of the laser beam can be actively controlled according to the dynamic change of the energy receiving area, the dynamic tracking and locking of the far-field light intensity distribution on the energy receiving area are realized, and the maximization of the energy transfer efficiency is ensured.

The invention relates to a polaroid and a display device. The polaroid comprises a base layer, a polarization layer and a light modulation layer. The polarization layer is arranged on one side of the base layer; the light modulation layer is arranged on one side of the polarization layer away from the base layer; wherein the material of the light modulation layer comprises a nonlinear material, and the light modulation layer is configured to dynamically regulate and control the polarization state of polarized light incident to the light modulation layer; according to the polaroid, the light modulation layer is arranged on the polarization layer, the light modulation layer contains the nonlinear material and has the nonlinear optical characteristic, and therefore the light modulation layer can respond to changes of external conditions, dynamic regulation and control over the polarization state of polarized light are achieved, and the requirements of a self-adaptive optical system, high-dynamic-contrast display and the like are met; and meanwhile, the device has the characteristics of simple structure and high response speed.

The application discloses a ground-layer adaptive optical system error analysis method, and relates to the technical field of astronomical telescopes adaptive optics, which is characterized in that: a first structure function of residual wavefront generated by un-compensated atmospheric turbulence error is calculated; a second structure function of residual wavefront generated by instrument error of the ground-layer adaptive optical system is calculated; the first structure function and the second structure function are linearly superposed to obtain a total performance structure function of the ground-layer adaptive optical system; a long-exposure optical transfer function is calculated according to the total performance structure function, and Fourier transform is performed on the long-exposure optical transfer function to obtain a point spread function of the ground-layer adaptive optical system; wherein the point spread function is used for analyzing error and performance of the ground-layer adaptive optical system.

This invention discloses an error analysis method for a surface-level adaptive optics system, relating to the field of adaptive optics technology for astronomical telescopes. The key technical points are: calculating the first structure function of the residual wavefront generated by uncompensated atmospheric turbulence errors; calculating the second structure function of the residual wavefront generated by instrument errors in the surface-level adaptive optics system; linearly superimposing the first and second structure functions to obtain the overall performance structure function of the surface-level adaptive optics system; calculating the long-exposure optical transfer function based on the overall performance structure function, and performing a Fourier transform on the long-exposure optical transfer function to obtain the point spread function of the surface-level adaptive optics system; wherein, the point spread function is used to analyze the errors and performance of the surface-level adaptive optics system.

The invention discloses an overseas satellite laser load cross-border measurement relay method and system, and belongs to the technical field of laser communication, and the system comprises a control center which carries out the cross-border measurement of the relay according to the satellite orbit forecast, the relay station position and coverage, the real-time / forecast weather information, the satellite data cache state, and the data priority. According to the satellite-relay station laser communication time window optimization method, the influence of turbulence is counteracted by compensating the atmosphere through an adaptive optical system, plaintext data is forcibly encrypted through a high-speed encryption gateway, and the optimal satellite-relay station laser communication time window is calculated through overseas receiving-gt; local processing / encryption-gt; security cross-border network transmission-gt; effective return of overseas satellite laser load data is realized under policy limitation through a roundabout relay path of domestic decryption / use.

The present application relates to a kind of closed-loop control method and system of wavefront sensing-free adaptive optical system, belong to optical communication technical field, solve the problem that wavefront sensing-free adaptive optical system is difficult to realize stable, real-time, reliable wavefront correction under the joint action of strong turbulence, closed-loop delay and deformable mirror actuator constraint.The method collects focal plane PSF image and pre-processes;Residual wavefront estimation neural network is used to estimate the residual Zernike coefficient estimation vector of current frame;Residual wavefront is predicted using autoregressive prediction model, and is aligned to the actual effective time of deformable mirror command by non-integer frame delay compensation, constrained model predictive controller solves the first step optimal deformable mirror voltage increment under voltage amplitude and voltage rate of change constraint, and the corresponding control command is output to deformable mirror actuator, to realize system stable closed-loop adaptive optical correction.The present application improves the real-time, stability and engineering implementability of closed-loop control under high-speed dynamic turbulence.

An adaptive optical system (1) comprising: - at least one optical device (2) adapted to emit and / or reflect and / or transmit optical radiation (o_s) having a wavefront; - a first wavefront quality measuring module (3) adapted to acquire a first wavefront error measurement of the optical radiation (o_s) to provide a first signal (s1) representative of the first wavefront error measurement; - a second wavefront quality measuring module (4) adapted to acquire a second wavefront error measurement of the optical radiation (o_s) to provide a second signal (s2) representative of the second wavefront error measurement; - a wavefront correction module (5,6) adapted to modify the optical radiation to reduce or eliminate the wavefront error;- a processing module (7) operatively connected to the first wavefront quality measurement module (3) to receive at the input the first signal (s1) and operatively connected to the second wavefront quality measurement module (4) to receive at the input the second signal (s2) and to emit, based on the first signal (s1) and the second signal (s2), a control signal (c_s) to control said wavefront correction module (5, 6); wherein: - the first wavefront quality measurement module (3) is configured to sample a plurality of points of said optical radiation (o_s) according to a sampling resolution that can be controlled by the processing module (7);- the processing module (7) is configured to control the first wavefront quality measurement module (3) to decrease its sampling resolution until the processing module (7) determines that a wavefront of said optical radiation (o_s) can be reconstructed and, after said determination, the processing module (7) is configured to emit said control signal (c_s) to perform a first correction through said wavefront correction module (5,6); - after performing said first correction, the processing module (7) is configured to execute an iterative routine acquiring wavefront error measurements through said second wavefront quality measurement module (4) and emitting said control signal to perform a second correction through said wavefront correction module (5,6).;

This invention discloses a method for coordinated correction of optical field intensity and phase based on multi-layer deformable mirrors, belonging to the field of adaptive optics technology. The method involves configuring multiple conjugate deformable mirrors in the optical path. The first deformable mirror is conjugate to the upper turbulent layer and employs a stochastic parallel gradient descent algorithm based on the statistical characteristics of sub-aperture spot intensity, using the variance of sub-aperture spot intensity as the cost function for control. It utilizes the angular spectrum diffraction transmission mechanism to transform upper-layer phase modulation into receiver amplitude modulation, achieving light intensity homogenization. The second deformable mirror is conjugate to the telescope pupil plane, and based on light intensity homogenization, a wavefront reconstruction algorithm is used to perform closed-loop correction of the residual phase. This invention achieves layered decoupled control of light intensity and phase, effectively suppressing strong scintillation effects and expanding the working boundary of adaptive optics systems under harsh atmospheric conditions.

A wavefront correction system and method with evaluation function switching and derivative-free trust region (RDR) is disclosed. This invention relates to the field of optimization and control technology for wavefront-free adaptive optics systems, specifically to a wavefront correction system and method with evaluation function switching and derivative-free trust region (RDR) optimization. The invention organically integrates a phased evaluation function strategy with a model-based derivative-free trust region optimization algorithm, achieving seamless switching of the evaluation function through observation data reuse. The method includes the following steps: simultaneously defining a first evaluation function and a second evaluation function; performing first-stage derivative-free trust region wavefront correction based on the evaluation function, while simultaneously constructing an observation data reuse buffer; switching to second-stage derivative-free trust region wavefront correction; selecting historical sampling points from the observation data reuse buffer, performing second-stage derivative-free trust region wavefront correction based on the observation data, and obtaining the optimal sampling point; updating the wavefront correction value based on the optimal sampling point.

The application discloses a wavefront-sensorless staged hybrid optimization wavefront correction method, and relates to the technical field of adaptive optical optimization control, in particular to a wavefront-sensorless staged hybrid optimization wavefront correction method.The method comprises the following steps: building a wavefront-sensorless adaptive optical system for laser communication; performing first-stage trust-region derivative-free optimization in a low-dimensional mode space composed of a plurality of Zernike mode coefficients; setting a joint switching mechanism; when the first-stage trust-region derivative-free optimization meets the joint switching mechanism, outputting first-stage optimal mode coefficients and corresponding optimal single-mode fiber coupling power; constructing an initial control vector for second-stage SPGD optimization based on the first-stage optimal mode coefficients; performing full-dimensional voltage space SPGD optimization based on the initial control vector, outputting a historical optimal drive voltage vector, and using the historical optimal drive voltage vector for wavefront correction.

The application discloses a method for evaluating self-adaptive optical ground layer GLAO layer correction ability of atmospheric turbulence. The method comprises the following steps: obtaining wavefront phase statistical information after GLAO system correction according to GLAO correction requirement of atmospheric turbulence; obtaining wavefront distortion phase statistical information without adaptive optical system correction from a telescope system; and obtaining GLAO layer correction efficiency through the change of wavefront phase statistical information before and after correction. By using the application, the GLAO layer correction ability of atmospheric turbulence can be evaluated, the effective correction height range of the GLAO system can be determined, and the correction performance of the large field of view GLAO system can be optimized.

The invention relates to the technical field of adaptive optics, and discloses a wavefront detection-free adaptive optical system control method, which comprises the following steps of: acquiring an extended target light intensity distribution image transmitted by atmospheric turbulence by using a camera, inputting the image into a deep learning target detection model, and extracting target recognition confidence as a performance index of closed-loop control. The controller estimates a performance index gradient by applying bilateral random voltage disturbance based on a stochastic parallel gradient descent algorithm, and updates a control voltage of the corrector accordingly to drive the actuator to compensate for wavefront distortion. According to the method, a traditional wavefront sensor is abandoned, direct mapping between the optical imaging quality and the machine vision recognition rate is established through deep learning confidence, the problem that a traditional evaluation index is poor in applicability in an extended target scene is effectively solved, and the imaging definition and recognition accuracy of a system in a complex environment are remarkably improved.