85 results about "Adaptive optics systems" patented technology

The invention discloses an adaptive optical system non-common-path aberration correction method based on a neural network. The adaptive optical system non-common-path aberration correction method comprises the following steps: constructing a lightweight neural network CP-Net; simulating and generating a perfect point spread function image; generating a deformable mirror control voltage matrix based on the image; taking the voltage matrix as the input of CP-Net for training, and ending the training when the loss function value is smaller than a preset minimum value; the trained CP-Net is connected to an actual control loop, real-time images acquired by a scientific camera are received, and perfect reference voltage is generated and directly used for controlling and changing the mirror surface type of the deformable mirror. According to the method, the deformable mirror control command can be directly generated, aberration does not need to be measured, real-time automatic adjustment can be achieved, compared with a traditional phase diversity method and a stochastic gradient descent algorithm, the operation difficulty can be greatly lowered, the correction time can be greatly shortened, and an operator does not need to manually adjust related parameters in the correction process.

The invention relates to the technical field of underwater communication and positioning, in particular to a multi-mode underwater wireless communication system based on dynamic link calibration, which integrates underwater acoustic positioning guide, attitude adaptive tracking control, optical link enhancement and an error code correction mechanism. Comprising a central control core, an acoustic communication unit, an optical communication transmitting unit, an optical signal receiving unit, an optical control unit, a multi-axis attitude adjusting unit, a data fusion and verification processing unit and a high-speed modulation-demodulation and error code correction unit. And by using a double-shaft servo motor and automatic gain control, real-time target tracking and accurate alignment of optical signals are realized, FPGA and OFDM modulation are combined to optimize data throughput, and a data cross validation mechanism is introduced to correct error codes, so that the data integrity is improved.

The invention belongs to the technical field of optical calculation, and discloses an error-adaptive optical diffraction neural network in-situ training method, which comprises the following steps: based on the phase of each phase modulation layer, calculating the light field complex amplitude Uk of the input sample complex amplitude on the rear surface of each phase modulation layer and the light field complex amplitude Uo of the input sample complex amplitude on an output plane after forward propagation; calculating an error light field P based on Uo, carrying out three-dimensional central symmetry on a back propagation light path of the error light field P without changing the phase distribution of each phase modulation layer, and calculating the light field complex amplitude of the complex amplitude of the symmetrical error light field on the front surface of each phase modulation layer after forward propagation; the method comprises the steps of obtaining the light field complex amplitude Un + 1-k'of P back propagation to the rear surface of each phase modulation layer, calculating the gradient related to a loss function based on Uk and Un + 1-k 'so as to carry out updating, and carrying out the next round of training until a preset training round or loss convergence is reached. The method can adapt to errors existing in an optical system.

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 relates to the technical field of adaptive optics, and particularly provides a transverse piezoelectric deformable mirror control method and an adaptive optical system.The method includes the steps that a piezoelectric self-sensing circuit is constructed, and induced charges generated on a piezoelectric ceramic piece after strain is generated by applying voltage to a transverse piezoelectric deformable mirror are collected; on the basis of the piezoelectric self-sensing principle, the stress charges are converted into the current strain of the piezoelectric ceramic piece, and then mirror surface shape information of the piezoelectric deformable mirror is obtained through calculation. According to the method, elements are not additionally arranged on the structure of the transverse piezoelectric deformable mirror, the structural complexity of the transverse piezoelectric deformable mirror is not increased, only expansion is carried out on an existing driving circuit, a piezoelectric self-sensing circuit is constructed, and the advantage that the structure of the transverse piezoelectric deformable mirror is simple is kept. By using the method to control the transverse piezoelectric deformable mirror in the adaptive optical system, the correction precision of the distorted wavefront of the adaptive optical system can be improved.

The invention relates to a self-adaptive optical matrix calculation acceleration method based on an ARM framework, and belongs to the field of self-adaptive optical wavefront correction technology and embedded parallel calculation. The method comprises the following steps: analyzing a mathematical mapping relationship between a microlens array and wavefront phase distribution in a Hartmann sensor image, and constructing a wavefront matrix operation model based on an ARM multi-core architecture; designing a Hartmann image data rearrangement strategy, dividing a single-frame Hartmann image into multiple task calculation units, and realizing parallelization processing of wavefront slope calculation; a wavefront matrix operation kernel is optimized according to ARM NEON instruction set characteristics, and vectorization calculation of multi-channel wavefront reconstruction is realized by adopting an SIMD parallelization technology; and computing resource allocation is coordinated through a dynamic thread scheduling algorithm, and the task allocation proportion among multiple cores is adjusted according to the real-time load condition. According to the method, the wavefront calculation efficiency is remarkably improved, so that the overall bandwidth of the adaptive optical system is greatly improved.

In one example, an on-mirror adaptive optics system may include a substrate including a deformable surface, a controller and a plurality of pockets defined in a substrate. Each of the pockets may include a an electrooptical sensor and an actuator. The controller may be communicatively coupled to the electrooptical sensor and the actuator. The controller may be configured to generate control voltages based on signals received from the electrooptical sensor to deform a portion of the deformable surface proximate a corresponding pocket of the plurality of pockets.

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 a wavefront correction method for a wavefront detection-free adaptive optical system based on deep learning, and the method comprises the steps: S110, constructing a neural network for training a mapping relation from the light intensity of a far-field focal plane to a group of complex conjugate wavefront data corresponding to the far-field focal plane; s120, constructing a data set, taking the far-field focal plane light intensity as the input of a 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, the loss of back propagation is processed by using a loss function, and the network learns one of the determined mapping relationships for the relatively small loss of back propagation; and S140, designing a wavefront correction algorithm of the wavefront-detection-free adaptive optical system for the neural network, and realizing closed-loop correction of the wavefront-free adaptive optical system. According to the technical scheme, the wavefront correction speed and precision are greatly improved, and rapid and high-precision wavefront correction of the wavefront-detection-free adaptive optical system is realized.

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 relates to cylindrical tunable fluidic lenses. The cylindrical optical power of the lenses may be continuously tuned within at least ±10 diopters, without inducing any significant spherical aberration, or any other significant aberrations. The lenses feature a geometry that produces minimal or no spherical defocus. These cylindrical tunable fluidic lenses could be used to induce and / or correct cylindrical optical aberrations in adaptive optical systems, particularly in ophthalmologic applications related to objective and automatic assessment of the refractive error of the eye, without the need of receiving feedback from the subjects.

The invention belongs to the technical field of optical detection, and particularly relates to an incident beam wavefront detection method based on a wavefront reconstruction neural operator. According to the invention, an optical heterogeneous receiving and self-supervised training wavefront SWRNO technology is adopted; the optical heterogeneous receiver detects light field intensity distribution at different depth positions so as to weaken precision loss caused by uncertain problems; the SWRNO is composed of a neural network embedded by a light field propagation physical model; self-supervision training is carried out on the SWRNO through a pre-training data set collected by a simulation platform, a model obtained through training can establish direct mapping from received light field intensity to a wavefront phase, and the model serves as a neural operator to reconstruct wavefront through light field intensity detected by charge-coupled device image sensors, namely CCD cameras, at different depths; the method has the advantages of higher resolution, lower cost and higher wavefront reconstruction precision; and wavefront fluctuation characteristics with finer granularity can be detected, and the method has great significance for a self-adaptive optical system serving FSO.

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 invention discloses a transmitting device for inhibiting light intensity flicker by using a sharp light beam. The transmitting device comprises a laser generation module and a phase modulation module. A Gaussian beam is emitted from the laser generation module, is subjected to phase modulation by the phase modulation module and then becomes a frontal beam, the frontal beam is emitted into a space for transmission, and a light intensity flicker suppression effect can be realized at a receiving end. The transmitting device for inhibiting light intensity flicker solves the problem of poor real-time performance of a self-adaptive optical system at the transmitting end, is simple in structure, low in cost and easy to implement, reduces the maintenance difficulty and cost of the system, and can obtain higher receiving power and smaller light intensity flicker results.

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 present invention provides an adaptive optical system based on an excitation light beacon. The system uses the excitation light generated by laser heating or ablation on the target surface as the beacon of the adaptive optical system, which is received by a telescope device after being transmitted through the atmosphere and detected by a wavefront distortion detection device. After the wavefront information is solved by a computer, the wavefront distortion correction device is controlled to load the distorted wavefront conjugate phase to achieve correction of aberrations, which can achieve clear imaging of the target or improve the power density of the laser focus point; the beacon light of this system is generated at the target, which is suitable for target detection at various heights, and there is no problem of focusing anisotropy; in addition, the correction capability of this system has no requirements on the roughness of the target surface, and at the same time has the advantages of high closed-loop bandwidth of the adaptive optical technology based on wavefront detection.

The invention discloses a ground-based high-resolution celestial body imaging method based on lucky imaging, relates to the field of astronomical observation, and is technically characterized by aiming at the problems of limited application scene and the like of a lucky imaging method based on preceding-stage adaptive optical correction. By reducing the number of the required pupil planes, the image signal-to-noise ratio of the beacon light is improved, the requirement on the guide star brightness is reduced, and the observable astronomical target range is expanded. Furthermore, an initial value of an iterative algorithm is replaced by a phase solved by a historical frame, so that the convergence speed of the iterative algorithm is improved. According to the iterative algorithm, the residual wavefront with relatively low aberration can be obtained through single-step iteration, so that the time bandwidth is improved while the correction precision of the system is ensured, and meanwhile, the lucky frame proportion of a post-stage lucky imaging system is improved. The method has the advantages that the preceding-stage adaptive optical system has higher correction efficiency, the complexity of an off-pupil image acquisition system is reduced, and compared with a traditional method, the method has excellent image quality improvement capability under various intensity turbulent flow fields, and is suitable for obtaining high-resolution astronomical images under the conditions of limited guide star intensity and strong turbulent flow fields.

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.

Conformal imaging vibrometer using adaptive optics with scene-based wave front sensing. An extended object is located at the first end of a link, and a reference-free, adaptive optical, conformal imaging vibrometer using scene-based wave front sensing is located at the second end of the link. An aberrated, free space or guided-wave path exists between the ends of the link. The adaptive optical system compensates for path distortions. Using a single interrogation beam, whole-body vibrations of opaque and reflective objects can be probed, as well as transparent and translucent objects, the latter pair employing a Zernike heterodyne interferometer.

The invention discloses an MEMS deformable mirror based on double-layer electrode collaborative etching and a preparation method of the MEMS deformable mirror, and belongs to the micro-nano machining technology of a deformable mirror surface structure. The preparation method is realized through the following steps: etching an alignment mark on the back surface of a substrate; depositing a silicon nitride insulating layer on the front surface of the silicon wafer substrate, and opening a back solution etching window; collaborative etching of the double-layer polycrystalline silicon electrode is completed in sequence, and an interdigital electrode, a honeycomb stress hole and a spiral flow guide groove are synchronously formed; lossless structure release is realized through mechanical thinning and back hole directional etching; and finally, sputtering a metal reflecting layer after vacuum bonding and packaging, and implementing an annealing process. According to the invention, by optimizing the electrode etching collaboration and the reflector postposition technology and introducing the back hole release technology, the problems of low etching liquid diffusion efficiency and high structure adhesion rate in the traditional technology are solved, the mirror surface roughness and the release yield are obviously improved, and the method is suitable for manufacturing a high-precision adaptive optical system.

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.

The present invention discloses a wavefront sensing system and a wavefront information decoding method using single-channel polarization encoding. The polarization information in the wavefront signal is utilized for the first time to realize polarization encoding and decoding of the spot pattern position information, getting rid of the dependence of the traditional Shack-Hartmann sensor on the photoelectric array sensor, while also solving the pain points in the wavefront detection of dim targets, exploring the application potential of single-point detectors in the field of wavefront sensing, and further expanding the application field of adaptive optical systems.

The invention discloses a wavefront sensor based on an axicon, a method, equipment and a medium. The wavefront sensor comprises a focusing lens, the axicon, a collimating lens and a detection camera. The focusing lens, the axicon, the collimating lens and the detection camera are sequentially arranged along the optical axis direction; the vertex of the axicon is located on the rear focal plane of the focusing lens, and the detection surface of the detection camera is located on a plane conjugated with the vertex of the axicon. Compared with a traditional multi-side-face pyramid, by utilizing the rotational symmetry characteristic of the axicon, the machining difficulty is remarkably reduced, high-precision machining is easy to achieve, and the high-precision wavefront sensing requirement is met; meanwhile, the wavefront sensor based on the axicon can accurately sense small-amplitude aberration, is suitable for an extremely-high-precision wavefront sensing scene, can be cascaded with a front-end adaptive optical system to realize wavefront high-precision control, can also realize iterative sensing of large-amplitude aberration, and is used for realizing iterative correction of large-amplitude aberration in a closed-loop adaptive optical system.

Disclosed are systems and techniques for entanglement-assisted communication using adaptive optics and phase conjugation of idler photons. A first periodically poled lithium niobate (PPLN) waveguide generates entangled signal-idler photon pairs using spontaneous parametric down-conversion of a first portion of an amplified beam. A demultiplexer separates signal and idler photons. The signal photons are modulated to generate modulated signal photons for transmission, and the idler photons are kept at the transmitter. A remaining pump power after the first PPLN waveguide is also transmitted and used by receiver adaptive optics to apply corrections to a received beam that includes the modulated signal photons. The remaining pump power is used as the reference signal for a homodyne receiver. The idler photons are phase-conjugated using a second PPLN waveguide, stored in an optical delay line, and provided to the homodyne receiver for use as a local oscillator signal.