24 results about "Electromagnetic spectrum" patented technology

This invention relates to the field of electromagnetic spectrum management technology and proposes a spectrum map construction method based on weighted dynamic allocation tensor ring completion. The method includes: modeling multi-frequency spectrum data as a target spectrum tensor; performing tensor ring decomposition on the target spectrum tensor data to extract TR factors, and generating a spectrum map generation model based on the TR factors; establishing different completion algorithms for path loss and shadow fading scenarios to complete the missing spectrum data in the spectrum map generation model; and weighted fusion of the completion results to construct the final spectrum map. This invention employs different algorithms to complete the missing spectrum data in the spectrum map generation model for different scenarios, thereby improving the robustness of the algorithm under different scenario conditions. Furthermore, by weighted fusion of the completion results from the two algorithms to construct the final spectrum map, it can dynamically adapt to two key factors affecting the construction accuracy, thus accurately constructing the spectrum map.

When rendering an image of a virtual scene, color information for at least one surface element of the virtual scene is stored in the form of color space coordinates of a multistimulus color space. A number of basis functions are assigned to the surface element, each describing a relative wavelength distribution of a portion of the light emitted by the surface element, and a spectral radiance is modeled as a linear combination of the basis functions. By combining the spectral radiance with at least one color space coordinate from the color information of the surface element and at least one color matching function assigned to that color space coordinate, the scaling factors of the basis functions are derived, and the spectral radiance is calculated by substituting these scaling factors.Synthetic camera data is calculated by processing the spectral radiance in a camera simulation of a camera positioned in the virtual scene.

This invention provides a method for extracting electromagnetic spectrum interference features based on radio frequency I / Q signal disturbances. The method includes the following steps: S101, acquiring I / Q signals in the monitoring frequency band and processing the acquired I / Q signals to extract the I-channel and Q-channel signals; S102, analyzing the joint distribution characteristics of the I / Q signals based on the I-channel and Q-channel signals; S103, calculating the fluctuation characteristic parameters of the I / Q signals based on the joint distribution characteristics of the I / Q signals, and determining whether interference exists in the I / Q signals based on the fluctuation characteristic parameters; S104, if there is no interference in the I / Q signals, outputting "no interference"; S105, if there is interference in the I / Q signals, determining the interference intensity level of the interference in the I / Q signals based on the fluctuation characteristic parameters, and outputting the final determination result of the interference intensity level. This invention achieves universal and sensitive interference detection by monitoring abnormal changes in the statistical characteristics of the I / Q signals themselves, effectively distinguishing the degree of interference in the I / Q signals and maintaining high detection accuracy.

This invention discloses a multimodal photothermal imaging method and system based on quantum correlation enhancement, belonging to the field of quantum optical imaging technology. The system includes a data acquisition and control system, a quantum light source fabrication module, a tunable pump light module, and a photothermal microscopy imaging module. This invention uses a quantum-correlated probe beam and a conjugate beam as the probe light for the photothermal effect, and a modulated light source with a wavelength tunable within the electromagnetic spectrum as the pump beam for photothermal excitation. By balancing the photothermal modulation in the zero-beat detection intensity difference, it overcomes the shot noise limit of traditional photothermal microscopy, achieving detection sensitivity exceeding the standard quantum limit, significantly reducing optical damage, and improving imaging speed. This invention has a wide spectral applicability and strong compatibility, and can be immediately integrated into various photothermal microscopy platforms for label-free imaging of biological samples and high-precision characterization of nanomaterials.

This invention relates to optical components comprising liquid crystal (LC) media that can operate in the infrared region of the electromagnetic spectrum. The invention also relates to the use of said LC media in the infrared (IR) region and devices comprising said optical components. Furthermore, the invention relates to LC media comprising one or more compounds of formulas I, II, and III, wherein the groups and parameters therein have the meaning as defined in claim 1, and preferably comprises one or more compounds of formula RO, wherein the groups and parameters therein have the meaning as defined in claim 2.

This invention relates to the field of geophysical exploration technology, specifically to a high-precision three-dimensional forward modeling method for airborne electromagnetic spectral elements considering induced polarization effects. Based on the Cole-Cole model, a complex conductivity expression considering induced polarization effects is established, and the frequency domain Helmholtz equation is introduced to construct the corresponding governing equations. A regular hexahedral mesh is generated, and reference domain vector basis functions are constructed using the Gauss-Lobatto-Legendre orthogonal polynomial method according to the spectral element method. The mapping relationship between these functions and physical mesh elements is established. The Galerkin weighted residual method is applied to discretize the governing equations into element system matrices, which are then assembled to form the overall system matrix and the corresponding linear equation set. A direct solver is used to obtain the frequency domain three-dimensional electromagnetic response, and the time domain three-dimensional forward modeling result of the computational region is obtained through Hankel transformation. This invention achieves rapid and high-precision three-dimensional forward modeling simulation of complex geological models containing induced polarization effects.

The application discloses an electromagnetic spectrum anomaly signal detection method and system, and relates to the technical field of electromagnetic spectrum detection. The method performs continuous spectrum scanning on a target frequency band and carries out time sequence alignment to construct a spectrum data set. A sliding window is set, and statistical analysis is performed on the spectrum data to establish a noise floor benchmark representing background noise level. The overall spectrum energy change in the window is combined to compensate for receiver gain drift, and a net spectrum representation relative to the noise floor is formed. On this basis, the time-frequency units continuously enhanced in the spectrum are connected and aggregated to generate candidate events. Multidimensional features are extracted from the event level, the decision threshold is adaptively adjusted according to the spectrum occupation state, and the candidate events are comprehensively judged, so that stable detection and reliable identification of abnormal signals in a complex electromagnetic environment are realized.

In rendering an image of a virtual scene, color information of at least one surface element of the virtual scene is saved in the form of color space coordinates of a multi-stimulus color space. The surface element is configured with a number of basis functions which describe a relative wavelength distribution of light components emitted by the surface element, respectively, and which model a spectral radiance density as a linear combination of the basis functions. Proportionality factors of the basis functions are derived by calculating the spectral radiance density with at least one color space coordinate of the color information from the surface element and at least one color matching function configured to the color space coordinate, and the spectral radiance density is calculated by substituting the proportionality factors. The synthetic camera data is calculated by processing the spectral radiance density in a camera simulation of a camera arranged in the virtual scene.

This invention discloses an artificial intelligence-based electromagnetic environment detection system and method, relating to the field of electromagnetic spectrum monitoring technology. The method includes the following steps: initiating SDR to perform full scan and convert the signal, extracting the topological skeleton, and generating a key sampling mask matrix; reading the mask matrix to perform non-uniform sampling, retaining key time-frequency point data, removing redundancy, forming a sparse point cloud dataset and transmitting it to the AI ​​processor; the AI ​​processor performs Thiessen polygon partitioning and interpolation completion on the sparse point cloud data, and generates a two-dimensional grayscale time-frequency map after grayscale processing; the AI ​​processor extracts features of the grayscale time-frequency map through a pre-trained model to determine the signal modulation type and protocol type.

The application relates to a TDOA / AOA data supplemented electromagnetic spectrum map construction method. The method comprises the following steps: a measurement point collects a received signal to determine the received signal strength of the measurement point to obtain TDOA measurement data and AOA measurement data, a probability model is constructed to probabilistically update an electromagnetic spectrum map of a target region, a posterior probability distribution of a signal source position is obtained, a signal source position corresponding to a maximum value of the posterior probability distribution is taken as a candidate signal source position, and the received signal strength of the candidate signal source position and the received signal strength at other non-measurement point positions are estimated; a candidate point set is randomly generated in the target region, a candidate point with the maximum target function value is selected as a target point and is added to an accurate data set; after adaptive mixed kernel function optimization parameters are constructed, a Bayesian Kriging method is used to interpolate and output an electromagnetic spectrum map of the target region after supplement, and the electromagnetic spectrum map construction precision is improved.

This invention discloses a method and system for detecting abnormal signals in the electromagnetic spectrum, relating to the field of electromagnetic spectrum detection technology. The method constructs a spectrum dataset by performing continuous spectrum scanning and timing alignment on the target frequency band; it sets a sliding window and performs statistical analysis on the spectrum data to establish a noise floor benchmark characterizing the background noise level, and compensates for receiver gain drift by incorporating overall spectral energy changes within the window, forming a net boost spectrum representation relative to the noise floor; based on this, it connects and aggregates continuously enhancing time-frequency units in the spectrum to generate candidate events, extracts multi-dimensional features from the event level, and adaptively adjusts the decision threshold based on the spectrum occupancy status to comprehensively judge the candidate events, thereby achieving stable detection and reliable identification of abnormal signals in complex electromagnetic environments.

This invention discloses an air-ground collaborative stereoscopic electromagnetic spectrum mapping device and method. The device includes an airborne platform, a vehicle-mounted platform, and a ground station. First, it receives mapping parameters, plans a collaborative acquisition path between the airborne and ground platforms, and simultaneously collects, frames, and stores spectrum and spatiotemporal information. Second, after compensating the spectrum data from each platform, it performs three-dimensional fusion of air, time, and frequency. Based on the platform's real-time location and the fused data, it delineates dynamically complete areas and completes missing grids using an online optimization algorithm with a forgetting factor. Finally, it calculates the map coverage in real time; if the coverage exceeds a threshold, it replans the supplementary measurement path until a complete stereoscopic spectrum map is generated. This invention combines the advantages of airborne and ground platforms to achieve high-precision three-dimensional spectrum perception in large-area, complex scenes, improving completion accuracy and real-time performance.

A therapeutic wearable device is disclosed that uses a plurality of different frequencies from the electromagnetic spectrum including frequencies from the visible region, the IR region, the radio region and optionally low frequency vibrational therapy. The therapeutic wearable device can be used to treat any of a plurality of conditions such as depression, seasonal affective disorder, sleep disorders, circadian rhythm disorders, psoriasis, eczema, acne, and / or cancer. The therapeutic wearable device can be incorporated into wearable items such as bracelets, necklaces or garments of clothing.

This invention discloses a rapid identification method for unknown radio signals based on a large electromagnetic spectrum model, relating to the field of electromagnetic spectrum monitoring technology. The method involves acquiring clean spectrum samples for self-supervised mask modeling pre-training to construct an electromagnetic spectrum spatiotemporal cognitive model capable of predicting expected spectral patterns based on context. Real-time frequency sweep data is input into the model to obtain the expected spectrum map, and its similarity difference with the actual spectrum map is calculated. Cosine distance is calculated as the feature difference by extracting features from the intermediate layers of the model, and the two are fused to obtain a cognitive difference matrix, which is then mapped to a two-dimensional surprise map. Spatiotemporal correlation tracking is performed on multiple consecutive frames of surprise maps to form surprise trajectories. The type of credible unknown signal is determined based on the frequency of occurrence, the mean surprise level, and frequency stability conditions. Original spectrum segments from the signal occurrence region are collected as positive samples, and the model parameters are incrementally fine-tuned using a low-rank adaptation matrix. This invention enables the discovery of unknown radio signals without relying on prior knowledge.

The application provides a full frequency domain ultra-wideband Doppler direction finding method. The technical core is based on the wavelength-independent double baseline difference positioning theory, combined with the equidistant linear array and the uniform motion characteristics of the platform, the mapping relationship from the frequency domain observation to the space domain geometry is established by approximating the radial velocity difference, and the mean correction mechanism is introduced to suppress the system deviation. The key breakthrough is to use the second-order dynamic frequency shift information to invert the v / lambda ratio, thereby completely eliminating the wavelength dependence in the direction finding equation, realizing the physical mapping without frequency priori. The method overturns the traditional direction finding mode, covers the full frequency band from very low frequency to terahertz, and is suitable for concealed target detection, electromagnetic spectrum battlefield perception and 6G+ terahertz imaging joint positioning and other frontier scenes. The frequency domain decoupling architecture lays the algorithm foundation for building a "space-environment-target" global perception system, promotes the direction finding technology from narrowband fixed point to broadband global, and is an important paradigm innovation in the field of intelligent electromagnetic perception.

The application belongs to the technical field of low-altitude electromagnetic environment monitoring and unmanned aerial vehicle monitoring, and discloses a portable urban low-altitude electromagnetic environment comprehensive monitoring terminal, a self-organizing network monitoring array and a monitoring and early warning method. The monitoring terminal comprises a wave-transparent protective cover, a radar antenna, an automatic holder, a meteorological sensing assembly, a main control cabin and a supporting seat, and each component is coaxially arranged and connected in sequence from top to bottom through a shaft. The monitoring terminal adopts a vertical coaxial integrated structure, integrates electromagnetic spectrum, wind speed, wind direction, temperature and humidity multi-parameter monitoring functions, the self-organizing network monitoring array adopts a three-level distributed architecture to realize a centerless self-organizing network, and the monitoring and early warning method realizes intelligent early warning through multi-source data fusion and multi-dimensional early warning criteria. The application improves the functional integration and portability of the equipment, can realize global monitoring of the urban low-altitude environment, and provides protection for the safety of unmanned aerial vehicle navigation.

The application discloses a frequency adjustment method and system based on minimum change and conflict resolution, and relates to the technical field of electromagnetic spectrum management and control. The method comprises the following steps: grouping devices according to device working frequency bands; receiving frequency spectrum interference information reported by devices, and performing frequency spectrum interference detection between all devices in the group where the interference reporting device is located; according to the interference detection result, reassigning conflict-free frequency points to each device by using a priority allocation strategy; and determining a frequency adjustment scheme, wherein only the frequency point of the interference reporting device is adjusted. The application is a method for changing the current frequency point of a frequency using device as little as possible, and quickly calculating frequency spectrum interference and generating a frequency adjustment scheme.

The application relates to the technical field of electromagnetic spectrum management and control, in particular to a spectrum map construction method based on a dynamic window tensor ring low-rank factor, which comprises the following steps: modeling missing spectrum data by using a tensor; introducing a dynamic window mechanism based on the correlation of space-time spectrum data; solving a target function of the model by using an alternating direction multiplier method; and realizing the completion of the missing spectrum data and the real-time construction of a spectrum map. The application solves the target function of the DW-TRLRF model by using ADMM, converts the optimization problem of the target function into a plurality of sub-problems for solving, outputs target spectrum tensor data after multiple iteration convergences of all observed spectrum data when the motion time of a radiation source is less than or equal to the length of the dynamic window, and only needs to take the observed spectrum data of the length of the dynamic window as the input of the DW-TRLRF algorithm when the motion time of the radiation source is greater than the length of the dynamic window, and the iteration number of the algorithm is 1, so that the spectrum map reconstruction can be quickly realized.

The application provides a regional electromagnetic intelligent evaluation method and system based on spectral entropy weighting, which comprises the following steps: collecting electromagnetic spectrum data and the motion state of a survey vehicle, and constructing a virtual aperture data matrix using the motion information. By spatial covariance analysis and subspace projection on the matrix, multi-path scattering interference is separated and removed, and a pure field strength sequence is reconstructed. By calculating the normalized spectral entropy of the Doppler power spectrum of the pure field strength sequence, an inverse proportional weight coefficient representing signal confidence is generated. The weight is weighted to the pure field strength sequence and mapped to the geographic space. According to the field strength gradient, the density of the evaluation grid is dynamically adjusted, and finally, the weighted centroid calculation is carried out based on the inverse proportional weight, and the regional electromagnetic environment evaluation result is obtained. The application solves the technical problem that the regional evaluation result is inaccurate due to the inability to separate the multi-path component and evaluate the quality of single-point data in the traditional mobile survey.

The present invention provides diatomaceous phosphate and borosilicate glass having a high refractive index and low density. [Solution] A glass-forming agent containing silicon dioxide (SiO2) and / or boron oxide (B2O3) with a refractive index n of 1.7 or higher when measured at 587.56 nm. d And, when measured at 25℃, it was 4.5 g / cm³. 3 A glass having the following density is provided. Optionally, the glass may be characterized by low light dispersion, high transmittance in the visible and near-ultraviolet (near-UV) ranges of the electromagnetic spectrum, and / or good glass-forming properties.

A method for generating synthetic camera data includes: rendering an image of a virtual scene and storing color information of a surface element of the virtual scene; assigning, to the surface element, a number of base functions which each describe a relative wavelength distribution of a light component emitted from the surface element; modeling a spectral radiance of the light emitted from the surface element as a linear combination of the base functions; deriving the scaling factors of the base functions in the linear combination by arithmetically combining the spectral radiance with a color space coordinate from the color information of the surface element and a color matching function associated with the color space coordinate; calculating the spectral radiance by inserting the scaling factors; and generating the synthetic camera data by processing the spectral radiance in a camera simulation of a camera located in the virtual scene.