61 results about "Channel polarization" patented technology

The invention provides a dual-branch super-resolution method fusing the advantages of Mama and Transform, which realizes the super-resolution reconstruction work of a remote sensing image, and comprises the steps of preparing an AID data set and a training set and a test set of UCMerceed. The method comprises the specific steps that a provided data set is used for training a model, the training model is stored in a local folder, and if the training model is satisfied, the training model is stored as a satisfied training model which is called an optimal model; and then testing by using the optimal model to improve the resolution of the remote sensing image. According to the method, the advantages of state space modeling and a self-attention mechanism are fully fused, the calculation complexity is greatly reduced while the high-resolution reconstruction quality is kept, the LMSOCA model is used for learning information fusion strategies under different scales, the detail recovery capability of edges and complex areas is remarkably improved, and the expression capability of the model is enhanced. In addition, feature dynamic fusion is achieved through a double-branch structure and self-adaptive parameters, efficient cooperation of local details and global structure information is achieved, a channel polarization dynamic attention module is designed, and on the basis of serial space attention and channel attention branches, a channel polarization dynamic attention module is designed. And a self-adaptive channel enhancement mechanism is introduced to effectively aggregate space and channel features and suppress channel redundancy, so that the expression and generalization ability of the model to complex remote sensing textures is improved.

The present invention relates to a real-time heading angle calculation method based on the vector characteristics of the polarized light field. Aiming at the problems of traditional solar meridian detection methods, such as being easily disturbed in low signal-to-noise ratio scenarios like haze and cloud cover, the occurrence of polarization angle errors and high false detection rates caused by lens distortion, and the difficulty of using single polarization angle information to fully reflect the solar direction, which affects the real-time performance and robustness of heading calculation. This method calculates polarization parameters by using multi-channel polarization images.

The invention discloses a broadband full-Stokes polarization imaging device based on non-orthogonal four-channel polarization beam splitting, which comprises a dielectric substrate, a non-orthogonal polarization beam splitting metasurface and a focal plane detection array, and is characterized in that the non-orthogonal polarization beam splitting metasurface is composed of a plurality of sub-wavelength unit structures; the sub-wavelength unit structure is a single-layer anisotropic medium nano-column array and is configured to perform intrinsic-loss-free non-orthogonal four-channel beam splitting on incident light and form four spatially separated focuses on the same focal plane, and polarization states corresponding to the four channels form a regular tetrahedron measurement base on a Poincare sphere; therefore, full Stokes parameter measurement is completed by four pixels; the sub-wavelength unit structure forms a super-pixel unit, and the super-pixel unit is aligned and integrated with a focal plane detection array in a two-dimensional array form to form a compact polarization camera facing focal plane segmentation. The device is simple in structure, easy to integrate with the CMOS front end, small in device size, low in power consumption and high in mass production feasibility.

The invention discloses a scattering characteristic adaptive polarization imaging non-uniform fog transmission method, which comprises the following steps of: acquiring polarization images at different angles, and calculating Stokes vectors, linear polarization degrees and dual-channel polarization intensity images of the images; constructing a non-uniform fog scattering feature, and estimating a dual-channel non-uniform scattering intensity image; estimating background light at infinity, and calculating a dual-channel polarization intensity transmissivity image; constructing an attenuation matrix of the polarization dual-channel variable-scale degradation model; a polarization dual-channel variable-scale degradation imaging model is constructed, and preliminary restoration of a dual-channel non-uniform fog scene is solved; and iterating the optimal polarization variable-scale degradation matrix to obtain a final restored image of the fogless scene. According to the scattering feature self-adaptive polarization imaging non-uniform fog transmitting method, the problems of overexposure and the like caused by target polarization information loss in a non-uniform fog scene are solved, complete removal of global non-uniform fog of the scene is realized, and target scene information is restored more clearly.

The invention provides an HRRP target micro-motion characteristic extraction method based on chaos optimization and polarization synthesis, and aims at the field of high-resolution one-dimensional range profiles. The method comprises the following steps: performing optimal polarization contrast enhancement and optimal polarization fusion based on a maximum signal-to-noise ratio criterion on HRRP multi-channel polarization data; performing period estimation on the polarization fusion data in combination with second harmonic back-off optimization and autocorrelation / amplitude difference enhancement processing; chaotic mapping and back propagation are combined to avoid the problem that traditional optimization is prone to falling into local minimum, and precession angle and size results of the space target are obtained. According to the method, the feature contrast of HRRP data is remarkably improved through polarization fusion, meanwhile, high-precision estimation of the micro-motion features of the space target is achieved under the condition of a low signal-to-noise ratio, the stability of periodic detection within limited observation time and the global search capability of parameter inversion are effectively improved, and the method is suitable for large-scale popularization and application. And the accuracy and robustness of space target micro-motion estimation in a complex environment are obviously enhanced.

This invention discloses a method for semantic encoding / decoding and reliable transmission of multimodal data oriented towards channel polarization. The method includes: acquiring anchor points and target modal semantic features of multimodal data; calculating the reliability of polarization subchannels; asymmetrically mapping the two types of features to different reliability intervals according to priority and encoding and transmitting them; the receiver preferentially decodes anchor point features to reconstruct cross-modal semantic prior vectors; using the SCL algorithm to decode and split the target features, reconstructing the local semantic features of the current split path and calculating the cross-modal semantic distortion with the prior vector; and dynamically generating a joint path metric based on polarization feature parameters for list pruning, breaking the cyclic redundancy check red line, blocking retransmissions, and directly outputting the path with the minimum semantic distortion. This invention breaks down the separation between the physical and semantic layers, avoiding erroneous pruning and retransmissions caused by local noise in deep fading channels, and achieving semantic coherence and reliable transmission in complex environments.

The invention discloses a sea target depth map recovery method based on a polarization image and a regularization technology, and belongs to the field of polarization image depth recovery, and the method comprises the following steps: obtaining an original polarization image of a target; based on the four-channel polarization image, according to an illumination estimation model and a Stokes parameter under mirror reflection and diffuse mixing illumination conditions, respectively obtaining zenith angle and azimuth angle images of the target; carrying out polarization information calculation by adopting an analog polarization method to obtain a non-light-intensity polarization image of the target; determining a target surface normal by referring to the polar coordinate system of the target surface normal and using a light source dot product principle, and further obtaining a normal vector field image; gradient information of a normal vector field image is converted into a large discretization sparse matrix under a Poisson equation, on the basis of solving the Poisson equation through a biconjugate gradient method, an adaptive fusion regularization formula is proposed to stably solve the Poisson equation, and depth image recovery of the marine target is completed.

The invention discloses an optical interface structure of an integrated photonic chip for a fiber-optic gyroscope and an optical coupling method, and belongs to the technical field of integrated optics and optical fiber sensing. All input and output ports of the integrated photon chip are arranged on a coupling end face on the same side of the chip, the ports comprise at least two signal ports and two auxiliary ports, the signal ports are used for connecting tail fibers of polarization maintaining fiber rings of all measuring axes of the fiber-optic gyroscope, and the auxiliary ports are connected with a through type auxiliary coupling optical channel in the chip; each port is integrated with a spot size adaptation unit, and the spot size adaptation unit is used for matching the spot size of the polarization maintaining optical fiber and the chip waveguide; the integrated photon chip realizes single-side end face alignment coupling with the multi-channel polarization-maintaining optical fiber array through the coupling end face, tail fibers of polarization-maintaining optical fiber rings of all measuring axes of the optical fiber gyroscope are directly solidified in the multi-channel polarization-maintaining optical fiber array, a head channel and a tail channel of the multi-channel polarization-maintaining optical fiber array are aligned with two auxiliary ports of the chip respectively, and no extra welding link is needed. According to the invention, the problems of dispersed channel-by-channel coupling of optical interfaces, complex alignment of two-side FAs, large dual-link coupling loss, serious polarization cross coupling and uncontrollable coupling quality are solved, the overall precision and environmental stability of the fiber-optic gyroscope are remarkably improved, the method is suitable for various fiber-optic gyroscopes with single axes, multiple axes and the like, and the system integration level and the assembly consistency are remarkably improved.

The invention relates to the cross technical field of spectral analysis and wireless communication, and particularly discloses a biological material spectral feature extraction method for wireless communication coding. The method comprises the following steps: acquiring and preprocessing wide-spectrum original spectral data of a biological material; constructing an initial channel matrix by taking each wavelength dimension as a sub-channel; performing recursive channel transformation on the matrix based on a polarization code theory to generate a polarized channel set; high and low reliability dimensions are divided according to polarizability indexes, high reliability features are reserved, and noise is eliminated; and performing coding mapping on the simplified feature subspace to generate a compact biological feature vector for identification or classification. By introducing a channel polarization mechanism, unsupervised and high-discrimination feature screening is realized, the recognition accuracy and robustness are improved, and the method is suitable for small sample and multi-type biological material analysis.

Transparent optical repeater for satellite, and communication satellite including such a repeater. This transparent optical repeater, configured for onboard use on a satellite, comprises: - an optical fiber (OF) assembly; - a first optical head (OHU1); - a first low-noise optical amplifier (LNOA); - a polarization splitter and controller (PCS) comprising, for each output channel of the bandpass filter (BPF), a channel polarization splitter and controller (C-PCS); - a third high-power optical amplifier (HPOA), per output channel of the polarization splitter and controller (PCS); - a polarization combination unit (PBC), configured to recombine the respective output channels of the two optical multiplexers (HPWDM); and - a second optical head (OHU2) configured to output the optical signals from the output of the polarization combination unit (PBC). Figure for the abstract: [Fig. 4]

The application discloses a code length adaptive parity check polar encoding construction method, which is based on a polarization channel, has a low front channel reliability, a high rear reliability and a serial decoding characteristic of a classical polarization decoding scheme SCL, and designs a polar encoding method based on channel reliability and inserting a specified parity check code number of the code length adaptively. The method comprises the following steps: firstly, a channel polarization weight value is obtained based on a Gaussian channel to measure the channel reliability, the polarization weight value is inverted and added to the maximum polarization weight value in the channel for conversion, and then the first insertion of PC code is performed at the position of half PC code number. Finally, the second insertion of PC code is performed based on the remaining PC code number, the information bit length of PC code check and the converted polarization weight value, so that the parity check code with the code length adaptivity and the front dense and rear sparse characteristics is constructed. When SCL decoding is performed at the decoding end, the effective distribution of the parity check code in the information bit is utilized to effectively improve the saving probability of the decoding correct branch and improve the decoding performance.

This invention belongs to the field of virtual reality technology, specifically relating to an XR virtual-real interaction control device that integrates optical motion capture and inertial navigation. It includes: a metasurface polarization-encoded marker array, distributed and installed at preset tracking point positions on the user's hand and head, used to generate reflected light carrying polarization identification codes when receiving illumination light; a miniature inertial measurement unit array, rigidly connected to each metasurface polarization-encoded marker in the metasurface polarization-encoded marker array, used to collect acceleration and angular velocity data at each tracking point; and a near-eye display device, including an illumination module and a polarization camera module. The illumination module projects linearly polarized illumination light onto the user's hand and head areas, and the polarization camera module receives the reflected light generated by the metasurface polarization-encoded marker array and outputs multi-channel polarization images. This invention achieves stable tracking in occlusion and rapid motion scenarios through tightly coupled visual-inertial fusion.

The utility model discloses a kind of high-reliability single-channel polarization maintaining optical fiber rotary connectors, comprising: first optical waveguide, second optical waveguide, first collimator, second collimator, first polarization converter and second polarization converter;The polarized light output by the first optical waveguide is coupled to first polarization converter;The first polarization converter is used to convert linearly polarized light into circularly polarized light;Circularly polarized light is sent into second collimator by first collimator, and the second collimator is rotatable relative to first collimator, and the second polarization converter is connected with second collimator, and rotates together;The second polarization converter converts circularly polarized light into linearly polarized light and is coupled into second optical waveguide.The utility model can realize 360 degrees unlimited rotation, and polarization maintaining optical signal can be transmitted simultaneously, and the uninterrupted transmission of optical signal is realized.The utility model effectively reduces optical signal polarization loss, reduces optical signal echo loss in rotation process.

This invention discloses a method for dynamic compensation of polarization signals in low-altitude complex terrain, an unmanned aerial vehicle (UAV) communication device, and a system, belonging to the field of wireless communication. The method includes: utilizing an edge computing platform to collect and analyze channel polarization state data in real time; employing an adaptive dynamic compensation algorithm; setting a set of candidate modulation schemes based on the channel's signal-to-noise ratio; and constructing a constraint function based on the set of candidate modulation schemes to achieve high-fidelity transmission of polarization signals. The system also integrates interference prediction, federated learning cluster collaboration, and secure communication modules, thereby achieving high security and robust communication while ensuring low latency and low power consumption. This invention effectively solves the problems of polarization signal mismatch, weak anti-interference capability, and poor environmental adaptability in existing technologies under complex terrain, improving the reliability and security of UAV communication systems, and has significant application value and market prospects.

The application discloses an image denoising method based on noise guidance and polarization parameter space correlation, and relates to the technical field of optical image processing. The method comprises the following steps: in the first stage, a noise prior map is generated by polarization noise guidance double attention, and four-channel original polarization angle images are calibrated, local details and global consistent structural features are fused by polarization perception multi-scale cooperation, and a denoised polarization image is output; in the second stage, the calculated initial Stokes parameters, polarization angle and polarization degree parameters are input into a multi-branch network, each branch is sequentially subjected to feature enhancement by an adaptive polarization wavelet residual dense block, calibration by a double attention module, and physical constraint fusion and iterative calibration by a noise perception polarization feature fusion network, and finally, a denoised polarization parameter image is output. Through the two-stage deep network of noise prior guidance fusion, polarization physical modeling and multi-scale wavelet attention, high-quality denoising of four-channel polarization images and polarization parameter images is realized.

The invention relates to the technical field of electric meter testing, solves the technical problem of electric leakage misjudgment caused by metal micro chips on the surface of a wiring terminal in an insulation test, and particularly relates to an insulation test method of a single-phase intelligent electric energy meter. According to the invention, the structured stripe light is projected to the surface of the wiring terminal so as to capture the point cloud data; projecting a low-density grating to the surface of the wiring terminal to generate a basic curvature graph, and marking a high-risk area in the basic curvature graph; and dynamically adjusting the grating period based on the basic value, synchronously acquiring a multi-channel polarization image and calculating a Stokes vector. Through the curvature adaptive polarized light field technology, normal vector calculation error reduction is achieved in the area with the curvature radius smaller than the critical value, ultraviolet / near-infrared channel signal attenuation caused by overcompensation is eliminated, and the optical measurement precision on the extreme curved surface is guaranteed; and chromatography confocal scanning is combined with a deconvolution reconstruction algorithm, multilayer metal micro-chip stacking can be penetrated, and the problem of bottom-layer micro-chip leak detection caused by the shielding effect of a traditional optical system is solved.

The invention relates to the technical field of computer vision and optical measurement, and discloses a traditional Chinese medicinal material character intelligent identification system based on computer vision, which comprises an active optical projection device, an image acquisition device and a central control and processing device, the system projects a polarization modulation frequency conversion structure light field and collects multi-channel polarization data; the polarization resolving and decoupling module separates the reflected light field into mirror reflection and volume scattering components; the internal density analysis module analyzes a density index based on a multi-frequency modulation amplitude contrast attenuation relationship by using the volume scattering component; the surface microscopic character reconstruction module fuses the macroscopic depth resolved by the structured light and the microscopic normal field resolved by the polarization to generate microscopic surface depth distribution and extract roughness features; and the intelligent identification decision module synthesizes density and roughness indexes to construct a standardized fingerprint vector. According to the invention, synchronous detection and objective quantitative identification of internal compactness and surface microtopography of the traditional Chinese medicinal materials are realized.

The invention relates to a wireless mouse data secure transmission method based on Polar codes and chaotic encryption. The wireless mouse data secure transmission method comprises the following steps: iteratively generating a dynamic key sequence through a Logistic mapping chaotic system; according to the mouse original data blocking result and the dynamic key sequence, determining a preprocessed data block; dynamically generating a channel polarization matrix according to the chaotic sequence value; according to the channel capacity characteristics and the data priority index of the channel polarization matrix, calculating the distribution priority of each bit position through a balance factor; carrying out Polar coding according to the preprocessed data block, the channel polarization matrix and the distribution priority, and carrying out superposition chaotic phase modulation to generate an encrypted signal; and performing phase demodulation on the received encrypted signal according to the synchronous chaos sequence, and recovering original data by using the reconstruction polarization matrix through a list decoding algorithm to obtain a reconstructed data block. According to the invention, the data transmission safety and reliability of the wireless mouse can be improved.

This invention discloses a multi-level polarization-coded differential spatial modulation method and related apparatus based on a set-partitioned antenna matrix. In this invention, the transmitter divides the uncoded bit sequence into AM and MPSK layer sequences, performs multi-level polarization coding on the AM and MPSK layer sequences respectively, maps them to AM and MPSK symbols, and generates the transmission signal through differential spatial modulation. The receiver employs a multi-level decoding method matching the transmitter, using the estimation results of the decoded bits from the previous stage as prior information to assist the subsequent decoding, finally recovering the estimated antenna matrix and the decoded bit sequence. Based on the characteristics of polarization codes and DSMs, this invention proposes a set-partitioned AM with stronger overall distinguishability and signal polarization effect. By cascading channel polarization and signal polarization, the mapping relationship between polarization coding and antenna activation modes is strengthened, effectively improving the system's error rate performance and anti-interference capability.

This invention discloses a four-channel polarization imaging system, comprising a housing containing four acquisition channels. These channels are respectively equipped with a near-infrared multispectral imaging camera, a near-infrared light field imaging camera, a visible light imaging camera, and an infrared imaging camera for multi-dimensional imaging and detection of objects. The near-infrared multispectral imaging camera has an adjustable filter that transmits light of different wavelengths. The near-infrared light field imaging camera has a polarization device that polarizes the light before imaging. The visible light imaging camera acquires and images light within the visible wavelength range. The infrared imaging camera acquires and images light within the infrared wavelength range. This invention can acquire light of different wavelengths, intensities, and polarization states, and image light with different properties, thereby enabling multi-dimensional imaging and detection of objects.

This invention discloses a multispectral polarization imaging system and data processing method based on a filter wheel. The system includes a four-channel polarization imaging system, a filter wheel system, and a main control unit. The four-channel aperture-differentiated polarization imaging system is arranged in a 2×2 array, containing three linear polarization channels and one circular polarization channel, achieving full Stokes vector imaging. The filter wheel system is located between the imaging lens and the detector, and uses a motor to switch between single-channel and three-channel bandpass filters, combined with a color focal plane detector to achieve multispectral scanning. The main control unit controls synchronous exposure and processes data. The data processing method includes raw data preprocessing, multispectral data recovery (processing separately for single-channel and three-channel bandpass filters), channel registration, and polarization information extraction. This invention can simultaneously acquire multispectral and full polarization information, and its modular design makes it easy to operate and flexible to use.

The invention discloses a metasurface-based optical atom magnetic sensor four-channel polarization decoupling detection method, and aims to solve the problems that a detection end of a single-beam atom magnetometer is large in size and is easily interfered by pump light ellipticity fluctuation. The technical scheme of the invention is as follows: a four-channel focusing metasurface device integrated with a sub-aperture pseudo-random spatial multiplexing nano-pillar array is utilized to replace a discrete component in a traditional detection light path, and a single beam of detection light carrying magnetic field information is directly separated in space and is focused into four independent light spots of left rotation, right rotation, 45 degrees and 135 degrees at the same time; common-caliber uniform sampling of the Gaussian beam cross section is realized through pseudo-random arrangement; the signal processing system inverts the ellipticity of the pump light in real time by using a circular polarization channel, extracts a magnetic field signal by using a linear polarization channel, and performs dynamic correction through a full-polarization decoupling algorithm. According to the invention, chip-level integration of the magnetometer is facilitated, and high-sensitivity and high-stability anti-interference measurement is realized.

The present invention proposes a secure physical layer dynamic elastic polarization code encoding method suitable for non-degraded channels. The method comprises the following steps: first, channel polarization is performed based on the original polarization code, a permutation matrix and position vector are generated based on a shared key, and a secret generation matrix is ​​obtained based on the two. Then, based on the channel polarization result, the secret generation matrix is ​​divided into two sub-matrices. The shared key is used as the input of a secure hash function, and its hash value is output. The resulting hash value is used as the frozen bit and multiplied with the sub-matrix together with the plaintext information to obtain two row vectors. Finally, the vector XOR result is taken as the ciphertext for transmission. The legitimate receiver, with the help of the shared key, uses the inverse process of the above process to recover the plaintext. The present invention uses column obfuscation and random vector insertion to destroy the codeword structure of the original polarization code, thereby improving security. The hash value of the shared key is used as the frozen bit to prevent key leakage, thereby ensuring high confidentiality.

The invention discloses a ZYNQ-based three-channel polarization imaging system, which consists of four parts, namely an optical system, a driving circuit board, a ZYNQ core circuit board and an upper computer, and is characterized in that the optical system comprises three polarization image sensors; the driving circuit board is used for providing an image sensor driving circuit and interface connection; the ZYNQ core circuit board is used for image sensor driving configuration, three-path image synchronous acquisition and UDP Ethernet image data uploading; and the upper computer is used for receiving the UDP image data and resolving a polarization image. Compared with an existing method, the method is small in hardware size and high in imaging quality, and a new implementation method is provided for polarization imaging.

The invention discloses a dual-channel polarization-independent magneto-optical isolator, and belongs to the technical field of magneto-optical isolators. The magneto-optical isolator comprises magneto-optical isolator bodies, wherein the two magneto-optical isolator bodies which are arranged in parallel are connected through a connecting mechanism to form a dual-channel isolator body; the auxiliary adjusting structure is installed on the end face of one side, away from the other magneto-optical isolator body, of one magneto-optical isolator body. The connecting mechanism is a connecting cavity or an auxiliary splicing structure, and a light absorption plate is fixedly arranged in the connecting cavity. Under the action of the dual-channel magneto-optical isolator body, two light sources can be subjected to cooperative experiments at the same time, so that the experiment time can be greatly shortened, various steps caused by repeated experiments are avoided, the experiment efficiency is improved, and meanwhile, under the action of the auxiliary adjusting structure, the light sources can be conveniently adjusted according to different positions of the light sources. And angle adjustment is carried out on the dual-channel magneto-optical isolator formed by the two magneto-optical isolator bodies.

The invention belongs to the technical field of image processing, and particularly discloses an underwater image enhancement method based on multi-channel polarization information, which comprises the following steps: establishing a U-shaped convolutional neural network formed by a multi-stage encoder and a decoder, and introducing polarization degree-based space and channel double-branch attention at a jump joint; acquiring paired color images of the sample in non-scattering and scattering environments in a plurality of polarization directions; polarization channel and color channel cross recombination is carried out according to the scattering environment color image to generate multiple pseudo-color polarization images, a Stokes component is calculated in multiple polarization directions to obtain a single-channel polarization degree image, a training set is constructed, and a non-scattering image is used as a supervision label to train a network; inputting a to-be-restored underwater polarization image into the trained network, and outputting a restored image; the method has the following advantages that the sample and RGB polarization recombination are matched with polarization degree guide training, and the restoration stability and definition of the underwater image are improved.

The invention relates to the technical field of aquaculture, in particular to an aquaculture environment analysis method based on image analysis, and the method comprises the steps: collecting an underwater and water surface dual-channel polarization image sequence at a preset frequency, meanwhile, acquiring a chlorophyll-a narrow-band fluorescence signal intensity sequence, a surface layer incident illumination sequence and a water body average flow velocity sequence of the culture pond in the culture pond, and calibrating the polarization image sequence; performing three-frame sliding mean smoothing processing on the calibrated polarization image sequence, and calculating a composite polarization scattering group; solving the most relevant lag time of the chlorophyll-a narrow-band fluorescence signal intensity and the average flow velocity of the water body in the culture pond by adopting a cross-correlation function; calculating a scattering correction algae optical index and a flow velocity lag coupling response index; a composite water quality risk potential energy index is calculated, and when and only when the composite water quality risk potential energy index reaches a risk threshold value, an oxygen increasing and water changing instruction is executed.

According to the electric heating power multi-field coupling polarization system, in the system, the output voltage range of a high-voltage power supply is 0-15 kV; the oven provides an adjustable temperature; the multi-channel polarization test unit is arranged in a drying oven, an upper pressure plate is provided with a limiting through hole, a lower pressure plate is arranged in parallel relative to the upper pressure plate, the bottom of a high-voltage electrode is connected with the upper pressure plate through a spring, the top of the high-voltage electrode is connected with a high-voltage power supply, and a low-voltage electrode is arranged on the lower pressure plate. The piezoelectric ceramic is connected between the high-voltage electrode and the low-voltage electrode, the spring sleeves the high-voltage electrode to form an elastic loading mechanism so as to apply pressure to the piezoelectric ceramic, and the electric heating power multi-field coupling polarization system synchronously applies an electric field, a set temperature and mechanical stress in the same polarization process so as to realize electric-thermal-force multi-field coupling polarization.

A multi-spectrum common-optical-path multichannel polarization detection optical system comprises a main optical path sharing module, a color separation film module, a visible spectrum dual-channel module, a short-wave spectrum dual-channel module and a medium-wave spectrum dual-channel module. The light incidence direction is defined as the front; specifically, the main optical path sharing module is arranged at the foremost end of the system; the optical axis of the main optical path sharing module is marked as a main optical axis; the color separation film module is arranged at the rear end of the main light path sharing module and shares the same optical axis with the main light path sharing module, and light rays passing through the main light path sharing module are subjected to spectrum band screening and then are respectively sent into the visible spectrum band dual-channel module, the short spectrum band dual-channel module and the medium spectrum band dual-channel module for screening; the optical axes of the visible spectrum band dual-channel module, the short spectrum band dual-channel module and the medium spectrum band dual-channel module are all perpendicular to the main optical axis, and the light rays of the corresponding spectrum bands screened by the color separation film module are received respectively, and imaging of the corresponding spectrum bands is carried out.

Provided in an embodiment of the present invention are a polar code construction method and device, a storage medium, an electronic device and a computer program product, the method comprising: determining a Bhattacharyya parameter value of a binary erasure channel (BEC) having the same channel capacity as a Rayleigh block fading channel; performing channel polarization operation on the BEC channel to obtain N equivalent sub-channels; according to the Bhattacharyya parameter value of the BEC channel, determining the Bhattacharyya parameter value of each equivalent sub-channel obtained after the channel polarization operation by adopting an iterative calculation mode; arranging the Bhattacharyya parameter values of the plurality of equivalent sub-channels according to an ascending order, determining the first K equivalent sub-channels as target equivalent sub-channels for transmitting an information sequence, and determining an information bit set according to channel serial numbers of the target equivalent sub-channels; and determining an information bit position for transmitting the information sequence in the Rayleigh block fading channel according to the information bit set.