60 results about "Atmospheric waveguide" patented technology

Systems and methods are provided for mitigating atmospheric ducting within a wireless telecommunication network. The disclosure includes determining the configuration of user equipment (UE) within the coverage area of a victim base station, which employs a primary cell operating with time domain duplexing (TDD) and a secondary cell operating with frequency domain duplexing (FDD). Subsequently, a scheduler associated with the victim base station directs uplink communications to be transmitted via the secondary cell, thereby isolating the primary cell during periods of interference.

The invention belongs to the technical field of marine meteorology, and relates to a marine low-altitude atmospheric waveguide forecasting method based on artificial intelligence set error correction. According to the method, by establishing a forecast error correction algorithm set and dynamically adjusting weights of set members, error set correction of forecast results is achieved, and the problems that a single correction algorithm is high in space-time uncertainty and unstable in correction precision are solved. Compared with a pure data-driven low-altitude atmospheric waveguide forecasting method, the low-altitude atmospheric waveguide forecasting method has the advantages that the result reasonability and stability are higher, and the effective forecasting time efficiency is longer.

Systems and methods are provided to optimize antenna utilization for downlink signal transmission in wireless networks. The system includes a first antenna at a standard height for regular atmospheric conditions and a second antenna at a different elevation, activated in response to detected atmospheric ducting conditions. The method involves transmitting a downlink signal using the first antenna, monitoring for atmospheric conditions and signal degradation, and switching to the second antenna upon detecting ducting. A dynamic control unit oversees the transition between antennas, ensuring signal integrity and mitigating interference. This adaptive approach enhances network reliability and service quality by addressing the challenges posed by atmospheric variability, thereby improving the user experience in wireless communication networks.

The invention relates to the field of marine atmospheric waveguide environment detection, and discloses a method for predicting a marine atmospheric correction refractive index profile, which comprises the following steps of: acquiring meteorological observation data at different heights; calculating an evaporation waveguide height prediction value and a reference atmosphere correction refractive index profile; constructing a fusion relation model of the critical gradient of the bit refractive index and meteorological observation data; inputting meteorological observation data into the fusion relation model to obtain a critical gradient of a refractive index of a prediction bit, calculating a critical gradient of a refractive index of a reference bit, and obtaining an optimal weight coefficient of the model through iteration by using a particle swarm intelligent optimization algorithm; and inputting meteorological observation data into the optimized fusion relation model, calculating an optimized bit refractive index critical gradient, and finally obtaining an optimized atmosphere correction refractive index profile. According to the method disclosed by the invention, the influence of different meteorological conditions on the critical gradient of the refractive index is considered in the calculation process of the atmospheric correction refractive index profile, and the prediction precision of the atmospheric correction refractive index profile is improved.

The invention discloses a method and equipment for replacing sea-gas coupling parameterization in an atmospheric waveguide forecast model based on physical constraint deep learning, and a storage medium. The method comprises the following steps: step 1, preparing training data; step 2, increasing physical constraint to improve generalization ability; step 3, constructing a network for calculation; according to the method disclosed by the invention, the occupancy rate of computing resources can be reduced, the computing speed and the model forecasting performance are improved at the same time, a new idea is provided for application of artificial intelligence in the meteorological field, and a new technical development direction is provided for innovation in the meteorological field.

The invention discloses an unmanned aerial vehicle millimeter wave ultra-long distance emergency communication method and system. According to the method, prospective channel information is obtained through coupling a rainfall attenuation and atmospheric waveguide opportunity dual-prediction model; a cross-domain collaborative optimization model with the communication frequency point sequence and the flight path sequence as joint decision variables is constructed, and a collaborative control instruction set is solved; and finally, controlling the unmanned aerial vehicle to synchronously execute frequency point switching and track adjustment. According to the method, a traditional mode of isolated optimization of communication and flight control is broken through, the optimal propagation environment is formed by actively and cooperatively changing the spatial position and communication parameters, rainfall attenuation can be effectively avoided, atmospheric waveguides and other opportunities can be reliably utilized, and the reliability, throughput and coverage range of long-distance millimeter wave communication of the unmanned aerial vehicle are remarkably improved.

The invention discloses an SP-URNet-based marine heterogeneous troposphere atmospheric waveguide propagation loss space-time prediction algorithm, which comprises the following steps: step 1, parameterization calculation of an atmospheric waveguide atmospheric correction refractive index M and waveguide propagation loss image data calculation; step 2, spatial feature extraction modeling of a three-dimensional convolution automatic encoder; a U-TCN module formed by a time convolution network TCN performs modeling on beyond visual range propagation loss time features; a fourth step of integrating time and space features of a three-dimensional convolution automatic decoder; and a fifth step of establishing an SP-URNet prediction network model. According to the algorithm disclosed by the invention, the defect that space-time prediction and nonlinear prediction cannot be carried out on offshore non-uniform troposphere atmospheric waveguide propagation loss data in the prior art is overcome.

The present invention discloses a coordination method, device, and apparatus for atmospheric waveguide interference. When atmospheric waveguide interference occurs, the interference intensity value of the target time slot symbol in the radio frame of the interfered station is obtained; based on the interference intensity value of the target time slot symbol, the number of target time slot symbols that meet a preset strong interference condition is counted to determine a target number; the interfered station is added to a target set; a target number of downlink pilot time slot symbols are reserved in the downlink pilot time slot symbols near the protection time slot symbols in the radio frame of each communication base station in the target set, and the reserved downlink pilot time slot symbols are used to schedule access users whose uplink quality exceeds a preset threshold value, and the unreserved downlink pilot time slot symbols are used to schedule access users whose uplink quality is lower than the preset threshold value. The present invention can avoid the loss of downlink time-frequency resources of the communication base station, reduce the impact of atmospheric waveguide interference, and ensure user experience.

This invention proposes a method and apparatus for compressed and analytical transmission of atmospheric waveguide data, relating to the field of atmospheric waveguide data transmission technology. The transmission apparatus includes a support assembly, an antenna unit, a feed assembly, and a containment mechanism. An antenna unit is mounted on the top of the support assembly, and a containment ring is provided on the outer side of the antenna unit. A gap is provided between the inner side of the containment ring and the edge of the antenna unit. The containment mechanism is installed inside the gap and extends to cover the antenna unit. Through a specific compression design, this invention reduces the data transmission volume while ensuring data validity and recoverability, ensuring efficient data transmission in scenarios such as satellite networks. The limited bandwidth of satellite communication networks enables rapid transmission of large-scale, high-capacity atmospheric waveguide forecast data, meeting the atmospheric waveguide data transmission support needs of shore-based management centers for ocean-going vessels.

The invention provides an interference source, an interference detection and notification method, system and device, and a readable medium, and belongs to the technical field of communication. The interference source detection method comprises the following steps: acquiring an atmospheric waveguide reference signal monitored by a target station and an identifier of the target station; and judging whether the target station is an interference source or not according to the atmospheric waveguide reference signal and the identifier of the target station. The method is used for improving the accuracy and efficiency of atmospheric waveguide interference positioning.

The invention discloses a method and a device for improving radar target detection precision. The method comprises the following steps: firstly, acquiring data, and receiving and storing atmospheric waveguide height, radar original video, AIS dynamic information and radar track; evaluating a target track and an echo, and generating a strategy for synthesizing output power; and finally, controlling the output power of the power synthesis. The device comprises a data acquisition unit; the data evaluation unit is used for evaluating the target track or echo and generating a synthetic transmitter output power strategy; the control unit is used for controlling the output power of the power amplifier unit; the power amplifier unit comprises a plurality of final-stage power amplifier assemblies and a power synthesis module, and generates high-power output. According to the method, the track or the echo of the radar target is evaluated, the transmitting power of the radar is properly adjusted, and the detection precision and the tracking stability of the radar target can be improved when the height of the atmospheric waveguide is high.

The application provides an atmospheric waveguide detection system, method and device based on unmanned aerial vehicles, which comprises a server, a benchmark test system and a first unmanned aerial vehicle swarm comprising N unmanned aerial vehicles. The server determines the vertical height of the N unmanned aerial vehicles relative to a test surface at time t based on the first height relative to a benchmark point and the second height relative to the test surface of the benchmark test system at time t, and the third height relative to the benchmark point of the N unmanned aerial vehicles at time t. The server obtains the measurement data corresponding to the N unmanned aerial vehicles at time t, determines the corrected atmospheric refractive index of the N heights corresponding to the N unmanned aerial vehicles at time t based on the N measurement data and the N vertical heights, fits the N corrected atmospheric refractive indexes to determine a target curve, and calculates the atmospheric waveguide parameter at time t based on the derivative result of the target curve. The application adopts the unmanned aerial vehicle swarm mode to detect the corrected atmospheric refractive index at different heights, so as to calculate the atmospheric waveguide parameter, and the detection precision can be improved.

The invention provides an atmospheric waveguide measurement system, and mainly relates to the technical field of atmospheric detection. The atmospheric waveguide measurement system comprises an unmanned aerial vehicle-mounted device and a ground device, and the ground device is in communication connection with the unmanned aerial vehicle-mounted device; the unmanned aerial vehicle-mounted device comprises an unmanned aerial vehicle platform; one end of the measuring cable is fixedly connected with the unmanned aerial vehicle platform, and the swing angle of the measuring cable is smaller than a preset swing angle threshold value; the vertical sensor array comprises a plurality of meteorological sensing units which are arranged at intervals along the extension direction of the measuring cable and is used for synchronously acquiring meteorological data of a plurality of height layers; and the ground device is used for processing the meteorological data to obtain atmospheric waveguide parameters.

The invention belongs to the technical field of communication, and discloses a pruning and fine tuning troposphere waveguide prediction method and system based on multi-granularity evaluation, and the method comprises the steps: calculating edge loss and task loss; fusing edge loss and task loss to construct a channel importance evaluation system, and performing quantitative evaluation and dynamic sorting on the contribution degree of the atmospheric waveguide prediction channel; on the basis of the sorting of atmospheric waveguide prediction channels, redundant channels are gradually eliminated by adopting an iterative pruning algorithm until a preset pruning rate is reached; and calculating the prediction confidence of the atmospheric waveguide prediction model before and after pruning, positioning a high-sensitivity atmospheric waveguide sample of which the prediction result is remarkably reduced, establishing a dynamic sample weighting mechanism, and performing fine adjustment compensation on the residual channel weight by using error back propagation. According to the method, a multi-granularity importance evaluation cutting mechanism and a prediction information guiding method are adopted, lightweight compression and fine adjustment are performed on the model, the effectiveness of the prediction model is improved, and accurate prediction and interaction of the non-uniform atmospheric waveguide are realized.

The invention discloses an atmospheric waveguide prediction network model construction method based on a physical mechanism embedded deep neural network. The atmospheric waveguide prediction network model construction method comprises the following steps: step 1, forward modeling substitution of a conventional atmospheric waveguide model; step 2, establishing a time convolutional network based on data driving and added with physical constraints; and step 3, parameter adjustment and optimization of the network model. According to the method disclosed by the invention, the physical mechanism is embedded into the time convolutional neural network, so that the calculation accuracy of the physical mechanism is kept, the learning advantage of the deep learning model on complex data is utilized, and the atmospheric waveguide measured data is processed through the optimized deep neural network model; the prediction accuracy and the prediction speed of the model are remarkably improved, the adaptability of the model to atmospheric waveguide characteristics in a complex marine environment is enhanced, and the generalization ability of the model is improved.

The application discloses a kind of marine low-altitude electromagnetic propagation environment evaluation method and system, it is related to marine electromagnetic environment monitoring and evaluation technical field, the method is constructed standardization dataset by collecting multi-source data, combined with physical-data collaborative constraint is carried out mesoscale waveguide prediction, and small-scale waveguide model is constructed by descending scale, and then cross-scale modeling is realized using space-time adaptive fusion algorithm, finally simulates electromagnetic wave propagation characteristics and carries out multi-dimensional evaluation and visual display;The application realizes the all-around characterization to marine low-altitude electromagnetic wave propagation characteristics by cross-scale accurate modeling and multi-dimensional comprehensive evaluation, can accurately present the constraint enhancement effect and blind area distribution of atmospheric waveguide, provides accurate technical support and data reference for the practical application of marine communication, detection and navigation system, effectively guarantees electromagnetic performance research and system efficiency play under marine environment.

The application provides an atmospheric waveguide measurement system, and mainly relates to the technical field of atmospheric detection. The atmospheric waveguide measurement system comprises: an unmanned aerial vehicle device and a ground device, and the ground device is in communication connection with the unmanned aerial vehicle device; wherein the unmanned aerial vehicle device comprises: an unmanned aerial vehicle platform; a measurement cable, one end of the measurement cable is fixedly connected with the unmanned aerial vehicle platform, wherein the swing angle of the measurement cable is less than a preset swing angle threshold; a vertical sensor array comprising a plurality of meteorological sensing units which are arranged at intervals along the extension direction of the measurement cable, and is used for synchronously collecting meteorological data of a plurality of height layers; and the ground device is used for processing the meteorological data to obtain atmospheric waveguide parameters.

A kind of lidar technology for atmospheric waveguide fast measurement, temperature and humidity profile, the key factor of atmospheric waveguide, can be measured simultaneously, the device includes laser emission module: 822nm online seed laser, 822nm offline seed laser, 1064nm pump laser, laser frequency locking module, optical parametric oscillator, acoustooptic modulator, frequency doubling module and emission optical assembly;Echo receiving module: optical receiving telescope and optical lens assembly, F-P filter, polarization light splitting prism, iodine molecular absorption cell, Fizeau interferometer and photodetector;Data acquisition and processing module.The present application fuses differential absorption lidar and two detection systems based on interferometer high spectral lidar, adopts seed injection optical parametric oscillator laser technology, obtains high frequency stability 822nm laser to realize atmospheric humidity profile fast measurement, remaining 532nm laser realizes atmospheric temperature profile fast measurement, finally inverts atmospheric waveguide parameter, realizes atmospheric waveguide efficient and accurate measurement.

The invention discloses an air-sea multi-parameter measurement platform based on a wave glider. Comprising a water surface boat body, a solar power generation panel, a laser wind finding radar, a miniature meteorological station, an equipment bin, an atmospheric waveguide measuring instrument, an atmospheric waveguide measuring antenna, a wave instrument, a multi-parameter water quality measuring instrument, ADCP equipment, a navigation control bin, a Beidou communication terminal, an underwater wave energy propeller, an underwater winch and a CTD instrument. The laser wind finding radar is arranged in the water surface boat body, the equipment cabin and the navigation control cabin are arranged in the water surface boat body and close to the rear part, the solar power generation panel is laid above the laser wind finding radar, the equipment cabin and the navigation control cabin, the ADCP equipment is installed at the tail part of the water surface boat body, the Beidou communication terminal is installed in the middle of the water surface boat body, and the multi-parameter water quality measuring instrument is installed in the middle of the water surface boat body. The underwater winch is mounted in the middle of the underwater wave energy propeller; the wave glider has the advantages that wave energy serves as power, instruments and equipment are installed on the wave glider, and air-sea parameters are measured.

The invention provides a reference signal parameter standardization configuration method and a network equipment mutual detection method, and relates to the technical field of wireless mobile communication, in particular to the technical field of atmospheric waveguide interference and detection. The method comprises the following steps: firstly, based on acquired setting parameters of remote interference management reference signals (RIM-RS) of different manufacturers and network equipment mutual inspection requirements among the different manufacturers, determining to-be-standardized parameters of the RIM-RS and protocol versions and protocol constraints used for standardization configuration, and then, based on the mutual inspection requirements, the protocol versions and the protocol constraints, determining the to-be-standardized parameters of the RIM-RS and the protocol versions and the protocol constraints used for standardization configuration. And generating configuration parameters corresponding to the to-be-standardized parameters, and finally sending the configuration parameters to network devices of different manufacturers. Therefore, the parameters of the RIM-RS are subjected to standardized and unified configuration through mutual detection requirements of network equipment of different manufacturers and protocol versions and protocol constraints, so that the network equipment of different manufacturers can be ensured to accurately identify and detect mutual signals, and conditions are provided for realizing accurate and reliable detection and identification among the network equipment of cross manufacturers.

Embodiments of the disclosure describe a method for dynamically configured beam forming that mitigates remote interference experienced by a second base station (200) while scheduling at least one of uplink and downlink transmission for a plurality of UEs (201) associated with the second base station (200). The method includes receiving a plurality of Radio Frequency (RF) signals from a first base station (100). The plurality of RF signals is traversed through a multipath propagation channel and has been interfered by the atmospheric ducting propagation. The method includes determining a multipath channel impulse response (Hij) corresponding to each path and scatterer associated with the plurality of received RF signals. The method includes dynamically configuring beam forming for the plurality of UEs (201) associated with the second base station (200). The beamforming is dynamically configured based on the multipath channel impulse response (Hij).

The invention provides a capacitive refractometer based on a variable capacitor, and relates to the technical field of atmospheric waveguide parameter detection, and the capacitive refractometer comprises a capacitance detection circuit, a frequency mixing module, a filter circuit and a data processing module which are connected in sequence; wherein the capacitance sensor adopting the variable capacitance is arranged in the capacitance detection circuit; the capacitance value of the capacitance sensor is associated with the entering gas; wherein a detection electric signal influenced by the capacitance value of the variable capacitor is detected and obtained through the capacitance detection circuit, the detection electric signal is subjected to frequency mixing through the frequency mixing module, and the electric signal subjected to frequency mixing is filtered through the filter circuit to generate a stable oscillation signal; the data processing module is also connected with a temperature compensation module; detecting and acquiring a temperature electric signal through a temperature compensation module; the stable oscillation signal and the temperature electric signal are subjected to digital-to-analog conversion and data processing through the data processing module, the refractive index is obtained, and the device has the advantages of being low in cost, high in precision and high in anti-interference capacity.

The application provides an improved atmospheric waveguide sounding information denoising preprocessing method, which comprises wavelet denoising and Hilbert-Huang transform-based denoising, and the wavelet denoising and the Hilbert-Huang transform-based denoising are both performed by using a sounding balloon and a sounding device to collect meteorological parameters in the atmosphere; a frame is mounted on the side of the sounding balloon; a connecting pipe is arranged at the bottom of the sounding balloon; a temperature and humidity sensing module and an air flow sensing module are mounted in the sounding device; the improved atmospheric waveguide sounding information denoising preprocessing method can process wavelet coefficients in the form of a threshold value, and then reconstruct the signal to achieve the purpose of denoising; or the signal noise ratio can be improved through autocorrelation analysis, and the purpose of reducing noise can be effectively achieved; a balance assembly and a micro motor are mounted at the bottom of the sounding balloon, so that the detection accuracy of the sensor is improved.

The invention discloses an atmospheric waveguide rapid inversion prediction model construction method based on an information metasurface electromagnetic neural network. The method comprises the following steps: step 1, data preprocessing; step 2, information metasurface electromagnetic neural network construction; and step 3, rapid iteration and tuning of a model. According to the method disclosed by the invention, the metasurface material and the neural network learning method are combined, the regulation and control advantages of the metasurface material on electric waves and the strong learning and generalization capabilities of the neural network are utilized, the precision of the model on the inversion prediction of the marine atmospheric waveguide is remarkably improved, and meanwhile, the response speed of model prediction is greatly improved; therefore, high precision can be quickly achieved, and quick processing is realized.

The invention discloses a regional atmospheric waveguide real-time detection method and system based on multi-source data fusion, and the method comprises the steps: obtaining atmospheric waveguide data collected by a multi-source sensor, and determining the spatial grid distribution of the atmospheric waveguide data and the uncertainty value of each grid point; according to the uncertainty value, constructing a self-adaptive detection scheduling model based on ant colony optimization, and generating a scheduling strategy of the detection frequency and spatial distribution of the multi-source sensor; according to the scheduling strategy, controlling the multi-source sensor to perform data acquisition to obtain optimized multi-source atmospheric waveguide data; performing fusion processing on the optimized multi-source atmospheric waveguide data to generate regional atmospheric waveguide feature data; and determining a real-time detection result corresponding to the atmospheric waveguide data according to the regional atmospheric waveguide characteristic data. According to the invention, through multi-source data fusion, ant colony optimization scheduling and real-time feature generation, the efficiency, precision and adaptability of regional atmospheric waveguide detection are significantly improved.

The application discloses a kind of SP-URNet-based offshore non-uniform troposphere atmospheric waveguide propagation loss space-time prediction method, comprising the following steps: step 1, atmospheric waveguide atmospheric correction refractive index M parameterization calculation and waveguide propagation loss image data calculation: step 2, three-dimensional convolution automatic encoder space feature extraction modeling: step 3, the U-TCN module of time convolution network TCN composition models the time feature of over-the-horizon propagation loss: step 4, three-dimensional convolution automatic decoder time and space feature integration: step 5, SP-URNet prediction network model building.The algorithm disclosed in the application overcomes the lack that the prior art cannot satisfy the space-time prediction and nonlinear prediction of offshore non-uniform troposphere atmospheric waveguide propagation loss data.

The invention provides a coastal low-altitude atmospheric waveguide multi-path processing method based on GNSS occultation. The coastal low-altitude atmospheric waveguide multi-path processing method comprises the following steps: reading GNSS observation data; calculating a GNSS signal waveguide emergence angle; extracting a coastal GNSS occultation event; estimating multiple paths of each GNSS occultation event; performing multi-path modeling according to the GNSS signal waveguide emergent angle and the satellite number; and the multi-path influence of the atmospheric waveguide is eliminated. The method has the beneficial effects that a multi-path effect elimination algorithm for low-altitude atmospheric waveguide signal processing based on a GNSS occultation detection technology is optimized, the influence of the multi-path effect on signal delay calculation is reduced, the precision of low-altitude atmospheric waveguide calculation is improved, and the application effects of the method in the aspects of radar detection, communication, navigation and the like are improved.

The invention discloses a microwave communication loss modeling method, system and device under an atmospheric waveguide condition and a storage medium, and the method comprises the steps: obtaining atmospheric profile data, and selecting nodes based on the atmospheric profile data to construct a graph structure; constructing an initial feature vector for each node in the graph structure, and constructing an improved graph isomorphic network according to the initial feature vectors; performing node embedding learning on the graph structure by using the improved graph isomorphic network to generate a node embedding representation set; obtaining a low-order propagation graph structure in sequence according to the node embedding representation set, and extracting node embedding representations of corresponding hierarchies; fusing the graph-level features of the graph structure and the low-order propagation graph structure, and splicing to generate a structured embedding set; based on the structured embedding set, training and prediction are carried out through a regression prediction network, a microwave communication loss value under the atmospheric waveguide condition is output, and a high-precision and high-adaptability modeling scheme is provided for microwave communication path loss estimation.

An atmospheric waveguide laser radar testing device comprises a testing box, an incident mechanism used for introducing a testing light beam emitted by a laser radar into the testing box, an environment construction mechanism used for forming a testing environment in the testing box, and an emergent mechanism used for leading out an echo light beam from the testing box to the laser radar. The incident mechanism comprises a laser filter and a first optical fiber which are sequentially arranged along the irradiation direction of the test light beam; the environment construction mechanism comprises an environment factor control assembly for forming a test environment in the test box and an environment factor sensing assembly for sensing the test environment; the emitting mechanism comprises a third lens installed on the test box, a second optical fiber used for sending the echo light beam in the test box back to the laser radar, and a fourth lens used for collimating the echo light beam. The device can accurately test the atmospheric waveguide laser radar, is simple in structure and easy to carry, and has no complex requirements on a test site.

The invention provides an atmospheric waveguide data compression analysis transmission method and device, and relates to the technical field of atmospheric waveguide data transmission, and the transmission device comprises a supporting assembly, an antenna unit, a feed source assembly and a fence mechanism. The antenna unit is built at the top end of the supporting assembly, the enclosure ring is arranged on the outer side of the antenna unit, a gap is formed between the inner side of the enclosure ring and the edge of the antenna unit, the enclosure mechanism is installed on the inner side of the gap, and the enclosure mechanism covers the upper portion of the antenna unit after stretching. On the premise of ensuring data validity and recoverability, the data transmission quantity is reduced, the data can be efficiently transmitted in a satellite network and other scenes, a satellite communication network has a limited bandwidth, large-range and high-capacity atmospheric waveguide forecast data can be quickly transmitted, and the requirement of a shore-based management center for atmospheric waveguide data transmission guarantee of ocean vessels is met.