41 results about "Atmospheric waveguide" patented technology

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.

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 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 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 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.

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.

The utility model discloses a sampling device for atmospheric waveguide detection, which comprises a moving box, a protective door arranged on the surface of the moving box, a storage groove arranged in the moving box and opposite to the protective door, a circulation box arranged in the storage groove, more than two circulation pipes arranged on the circulation box and an air outlet pipe arranged on the circulation box. Each circulating pipe is provided with a first control valve for controlling the opening and closing of the circulating pipe, each circulating pipe is communicated with one air bag ring through one connecting pipe, the air outlet pipe is communicated with an air outlet hole in the movable box, a second control valve for controlling the opening and closing of the air outlet pipe is arranged on the air outlet pipe, and a storage cavity is further formed in the movable box. An air pump is installed in the storage cavity, the air outlet end of the air pump is communicated with the circulation box through a pipeline, the air suction end of the air pump is communicated with a corrugated pipe outside the movable box through a pipeline, and an air suction head with a filter screen is arranged on a pipe opening of the corrugated pipe. According to the device disclosed by the utility model, the collected gas is effectively collected through the plurality of detachable air bag rings, so that the practical performance is relatively high; impurities or substances are effectively prevented from entering the suction head through the filter screen, so that the accuracy of detection data is improved.

The invention discloses a communication method and device, computer equipment and a storage medium. The method belongs to the technical field of mobile communication, and specifically comprises the following steps: determining the existence condition of the atmospheric waveguide according to sea area meteorological data of a target sea area; and under the condition that the atmospheric waveguide exists, transmitting signal parameters are determined. A communication signal is transmitted based on the transmit signal parameter and the atmospheric waveguide. Based on the method, the existence condition of the atmospheric waveguide can be determined based on the sea area meteorological data of the target sea area, the emission signal parameters are determined when the existence condition of the atmospheric waveguide exists, the effective utilization of the atmospheric waveguide is realized based on the emission signal parameters, the atmospheric waveguide is used as a communication channel for communication, and the communication efficiency is improved. According to the invention, the atmospheric waveguide which is regarded as interference in an existing communication system is regarded as a signal transmission channel, interference utilization is realized, and stable, efficient and wide-coverage sea area beyond-visual-range communication is also realized.

The invention provides a TDD system atmospheric waveguide interference prediction method, device and equipment, a medium and a product, and is applied to the technical field of wireless communication, and the method comprises the steps: obtaining initial disturbed data, initial disturbed data and initial meteorological data at a plurality of moments in a TDD system; and inputting the initial disturbed data, the initial disturbed data and the initial meteorological data at the multiple moments into an atmospheric waveguide interference prediction model, and predicting the cell proportion of the disturbed area interfered by the atmospheric waveguide effect. In the method, a spatial feature extraction module extracts spatial feature vectors of an atmospheric waveguide effect based on various data, which is beneficial for a model to understand spatial features formed by atmospheric waveguides; the time sequence feature extraction module extracts time-space fusion feature vectors based on the spatial feature vectors, and time sequence features influencing formation and change of atmospheric waveguides can be recognized. The prediction module comprehensively analyzes the atmospheric waveguide interference condition from two dimensions of time and space, thereby accurately predicting the cell proportion of the interfered area interfered by the atmospheric waveguide effect.

The utility model discloses a shipborne atmospheric waveguide detector which comprises a protective shell with a cavity, a gas analyzer installed in the protective shell, a through hole formed in the side wall of the protective shell, a rotating groove formed in the side wall of the protective shell, and an avoiding groove formed in the bottom wall of the protective shell, an avoiding groove is formed in the rotating groove, an electric telescopic rod is arranged in the avoiding groove, one end of the electric telescopic rod is hinged to the inner wall of the avoiding groove, the other end of the electric telescopic rod is hinged to a connecting block in the rotating groove, a baffle ring connected with the connecting block is further arranged in the rotating groove, a hole is formed in the baffle ring, and the connecting block and the baffle ring can be driven by the electric telescopic rod to rotate in the rotating groove. And the hole in the baffle ring is opposite to the through hole in the side wall of the protective shell. According to the shipborne atmospheric waveguide detector disclosed by the utility model, the gas analyzer is placed in the protective shell, and the buffer pad and the buffer foam are arranged, so that the gas analyzer is prevented from being collided by external foreign matters, and buffer protection is provided.

The invention provides an atmospheric waveguide detection inversion method, and the method comprises the steps: carrying out the inversion through ground-based occultation observation, and obtaining a bending angle and atmospheric delay of a GNSS signal; on the basis of a ray tracing operator under a spherical symmetry atmospheric hypothesis, performing forward modeling to obtain atmospheric bending and delay model values; and establishing a triplex parameterized atmospheric refractive index profile, optimizing, estimating and inverting triplex parameters based on the ground-based GPS atmospheric delay and the bending angle observation value, and reconstructing the atmospheric refractive index profile. The method has the advantages that the atmospheric additional phase and the bending angle are inversed from obscuration signal observation data acquisition, the atmospheric refractive index profile is obtained through optimization estimation, the existence of the atmospheric waveguide is evaluated finally, negative elevation obscuration detection can be efficiently achieved through the open-loop tracking technology, millimeter and 10 <-5 > rad magnitude atmospheric additional phase delay is obtained, and the detection accuracy is improved. And the atmospheric waveguide phenomenon can be effectively detected.

The invention provides a non-uniform evaporation atmospheric waveguide channel modeling method, and relates to the technical field of atmospheric evaporation waveguide channel modeling, and the method comprises the steps: obtaining spatial refractive index distribution through calculation based on meteorological parameters and related weather parameter continuous distribution before and after generation; calculating by using an equation according to the spatial refractive index distribution to obtain a relation between a ray trajectory and a ray angle; constructing an evaporation waveguide prediction model by using a sequence feature coding module and a constructed channel model decoding module; and training the evaporation waveguide prediction model by using the relation between the ray trajectory and the ray angle to obtain a trained evaporation waveguide prediction model, and completing modeling of the non-uniform evaporation atmospheric waveguide channel. According to the method, the problem that high-precision and high-efficiency channel modeling is difficult to carry out in a horizontal non-uniform evaporation waveguide environment is solved.

This invention discloses an over-the-horizon radar sea clutter propagation and scattering simulation system, belonging to the field of simulation technology. The system adopts a heterogeneous parallel computing architecture, including a radio wave propagation modeling module, a propagation-scattering bidirectional coupling module, and a sea surface electromagnetic scattering modeling module. The output of the radio wave propagation modeling module is connected to the input of the propagation-scattering bidirectional coupling module, the output of the propagation-scattering bidirectional coupling module is connected to the input of the sea surface electromagnetic scattering modeling module, and the output of the sea surface electromagnetic scattering modeling module is connected to the input of the propagation-scattering bidirectional coupling module. Using this system, through propagation-scattering bidirectional coupling, nonlinear time-varying sea surface generation, and a parallel architecture, this invention achieves physically self-consistent, high-fidelity, and high-efficiency sea clutter simulation, accurately reproducing the characteristics of all sea states, and providing key support for over-the-horizon radar performance evaluation, clutter suppression, and atmospheric waveguide inversion.

The invention provides a method for detecting atmospheric waveguide interference. The invention further provides electronic equipment and a storage medium. According to the scheme, the method comprises the steps that feature vectors obtained from an atmospheric waveguide interference fingerprint database are input into a digital twin platform, and atmospheric waveguide interference is reproduced based on the digital twin platform; and based on the atmospheric waveguide interference reproduced by the digital twin platform, detecting the atmospheric waveguide interference applied by the N nodes of the first area to at least one node in the M nodes of the second area.

The application discloses a low-altitude atmospheric waveguide analysis method and system for electromagnetic propagation optimization, and relates to the technical field of ocean atmospheric environment detection and electromagnetic propagation. The specific steps of the method are as follows: synchronously collecting multiple types of marine meteorological data of a target sea area, and constructing a standardized data set after processing; constructing a physical constraint deep neural network to generate a mesoscale parameter field; constructing a model with a correction mechanism to generate a small-scale profile model; constructing a multi-scale fusion model to output a spatio-temporal prediction result; analyzing characteristics, outputting an optimization strategy and feeding back reversely to complete whole-process optimization. The application realizes fine waveguide modeling from mesoscale to small scale, and improves the accuracy of atmospheric waveguide feature representation by constructing a physical constraint deep neural network and introducing an interface inclination angle correction mechanism. The application realizes cross-scale adaptive fusion, improves prediction accuracy, establishes a reverse feedback mechanism to promote whole-process optimization, and better adapts to the requirements of a marine electromagnetic system by constructing a multi-scale fusion model.

The invention discloses a heterogeneous atmospheric waveguide loss prediction method based on physical equation embedding. The method comprises the following steps: step 1, data preprocessing; step 2, encoding time sequence features; step 3, physical constraint prediction; step 4, decoding the space field; and 5, a multi-objective loss function is established. According to the method disclosed by the invention, rapid, accurate and physically consistent forward modeling prediction of the atmospheric waveguide propagation loss in the non-uniform region is realized. By combining a physical constraint solution operator thought with a Transform-CNN architecture capable of efficiently processing time sequence dependence, the efficiency of data driving and the preciseness of a physical model are fused, so that efficient and accurate prediction from time sequence meteorological data to a two-dimensional propagation loss field is realized.

Systems, methods, and devices are disclosed herein for detecting, classifying, and mitigating the effects of atmospheric ducting in wireless communications networks. At least one received interference power (RIP) value collected at a base station of a wireless communication network is received. A ducting intensity is then identified by comparing the at least one RIP value collected at the base station to a baseline RIP value. The ducting intensity is further compared with at least one threshold to determine whether to apply ducting mitigation parameters in the wireless communication network. If the ducting intensity exceeds the at least one threshold, at least one ducting mitigation strategy is applied in the wireless communication network.