52 results about "Adaptive optics systems" patented technology

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 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.

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.

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.

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 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.

The present invention discloses a MEMS deformable mirror based on double-layer electrode cooperative etching and a preparation method thereof, which belongs to the micro-nano processing technology of deformable mirror structure. The preparation method is realized by the following steps: etching alignment marks on the back of the substrate; depositing a silicon nitride insulating layer on the front of the silicon wafer substrate, opening the back solution etching window; completing the cooperative etching of the double-layer polysilicon electrode in sequence, and synchronously forming interdigitated electrodes, honeycomb stress holes and spiral guide grooves; achieving lossless structure release through mechanical thinning and back hole directional etching; finally, sputtering a metal reflective layer and implementing an annealing process after vacuum bonding and packaging. The present invention solves the problems of low etching solution diffusion efficiency and high structural adhesion rate in traditional processes by optimizing the electrode etching coordination and the post-reflector process, and introducing back hole release technology, thereby significantly improving the mirror surface roughness and release yield, and is suitable for the manufacture of high-precision adaptive optical systems.

The present invention provides a domain generalization method for turbulence-degraded image restoration under wide spectral distribution shift, which is used to solve the technical problems that existing digital adaptive optics systems based on computational imaging have room for improvement in light field modeling, or that data-driven turbulence-degraded image restoration algorithms have poor generalization. The present invention provides a domain generalization method for turbulence-degraded image restoration under wide spectral distribution shift, which uses a turbulence-degraded image restoration model based on a UNet architecture and with frozen parameters trained on the visible light band to generate a "locked" network, and uses the "locked" network as a generation branch to extract features from source domain samples. The trainable copy of the "locked" network is used as a guiding branch to extract features from target domain positive samples or target domain negative samples. Finally, the visible light band features and the shortwave band features of the first target are fused to complete turbulence-degraded image restoration under wide spectral distribution shift.

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.