35 results about "Electron density distribution" patented technology

The invention provides an ionosphere inversion method and system based on space-ground multi-source data fusion, and belongs to the technical field of ionosphere inversion. The problems that an existing ionosphere inversion method is poor in precision, low in timeliness and poor in adaptability to ionosphere change characteristics in different regions and under different conditions are solved. According to the method, after a proper ionized layer model is selected, sky-ground data are acquired and processed, and the critical frequency of an ionized layer, the vertical height at which the electron density reaches the maximum value and the total electron content of the ionized layer are reconstructed by using an improved Kriging interpolation method; and based on the reconstruction result, analyzing the change rule of the ionized layer characteristics along with time and space distribution and under different disturbance conditions. The method can improve the precision and reliability of ionosphere inversion, so that key parameters such as electron density distribution, critical frequency, total electron content and the like of the ionosphere are described more accurately, and more accurate data support and theoretical guidance are provided for the fields of navigation positioning, communication system optimization and space weather monitoring.

Generate ionospheric delay correction information for satellite positioning users with high precision for one cycle. 【Solution】Based on the output result of a total electron number prediction model that is trained to output a predicted value of the total electron number at a future time (e.g., one hour later) when data such as atmospheric environmental characteristics and solar altitude angle data are input, a correction parameter (a new correction parameter replacing the ionospheric correction parameter of the existing Klobuchar model) ECP for correcting the ionospheric error is generated using an electron density distribution model expanded over a wide area by a spherical harmonic function with the total electron number at the ionospheric penetration point of the received date and time calculated using observation data obtained from ranging signals of multiple frequencies (e.g., L1 wave and L2 wave).

The invention discloses a plasma sheath electromagnetic characteristic simulation method and system for a hypersonic flight vehicle, and the method comprises the steps: carrying out the fluid simulation according to the geometric shape and flight parameters of the hypersonic flight vehicle, so as to obtain the information of a flow field containing a plasma sheath region; according to the flow field information, simulation parameters of all positions of the plasma sheath space are determined, and the simulation parameters at least comprise electron density distribution and electron collision frequency distribution; based on the simulation parameters, a three-dimensional model of the plasma sheath is established, the three-dimensional model is layered according to electron density distribution, a layered three-dimensional model composed of a plurality of plasma layers is formed, and each plasma layer has the electron density within a preset range; based on the layered three-dimensional model, establishing a non-uniformly distributed electromagnetic simulation model of the plasma sheath; and carrying out grid division on the non-uniformly distributed electromagnetic simulation model, and carrying out numerical calculation by adopting a numerical solver so as to obtain the electromagnetic characteristics of the plasma sheath. According to the method, the problem of deviation between a simulation result and an actual situation of a traditional simulation model can be solved.

The invention discloses a VASP-based metal surface adsorption energy differential charge analysis method and system, and relates to the technical field of metal surface adsorption energy differential charge analysis, and the method comprises the steps: carrying out the modeling and standardization processing of a metal surface-adsorbate system, and obtaining a standard data set; training the standard data set by adopting a deep neural network model to obtain a prediction model, inputting the standard data set into the prediction model, and outputting a prediction result; dynamically adjusting VASP calculation parameters by adopting an environmental effect correction method, and generating a VASP input file based on a prediction result and an actual operation condition; performing high-precision energy and electron density calculation on the input file by adopting a first principle calculation tool VASP to obtain electron density distribution; performing differential operation on the electron density distribution to obtain a differential charge density map; and performing three-dimensional rendering on the differential charge density map by adopting a visual analysis tool to obtain a visual analysis result.

The invention discloses a VLF propagation signal prediction method based on a three-dimensional finite element and a neural network, and belongs to the technical field of electronic communication. The method comprises the following steps: firstly, constructing a geosphere-ionosphere waveguide model based on a three-dimensional frequency domain finite element method, and solving by using a multi-grid method to improve the operation efficiency; secondly, constructing a VLF signal propagation data set of a plurality of known paths at one time based on a three-dimensional frequency domain finite element method; then, constructing a neural network model reflecting a mapping relation between an ionized layer electron density parameter and a VLF wave characteristic based on the data set; then, obtaining electron density distribution on a plurality of known paths based on neural network inversion; and finally, carrying out inversion by adopting an inverse square weight formula to obtain electron density distribution on the to-be-solved path. According to the method, the VLF signal transmission characteristics on multiple paths can be simulated at a time, the workload of modeling simulation is effectively reduced, and the method is suitable for the fields of inversion of a multi-path electron density parameter model, prediction of very low frequency wave propagation and the like.

The invention relates to the technical field of reinforcement learning, and further relates to a micro-nano structure optimization design method based on deep reinforcement learning. The method comprises the following steps: step 1, obtaining electron density distribution of a micro-nano structure; calculating the quantum tunneling current density according to the barrier height and the barrier width of the micro-nano structure; 2, mapping the quantum wave state function, the quantum stress field and the quantum tunneling current density to a state space of reinforcement learning to obtain a state vector of reinforcement learning; generating an optimization action based on the state vector; parameters of the micro-nano structure are updated according to the optimization action; calculating the structural performance of the micro-nano structure after the parameters of the micro-nano structure are updated; and 3, based on the change rate of the structural performance, establishing a convergence criterion based on Lyapunov stability, judging whether convergence occurs, if yes, terminating and finishing the optimization design, and if not, returning to the step 2. According to the method, the optimization precision and efficiency are remarkably improved, and meanwhile, the dynamic adjustment and global search capabilities are achieved.

The invention discloses a plasma field three-dimensional chromatography reconstruction method based on microwave reflection and probe combined measurement, which comprises the following steps: firstly setting the frequency of a microwave antenna and the measurement position of a probe, and then realizing high-precision combined diagnosis of electron density distribution by combining the global non-contact measurement advantage of a microwave reflection method and the local fine measurement capability of an electrostatic probe; and then realizing high-precision fitting of the electron density based on a physical constraint Gaussian process regression model, establishing a mapping relation between the electron density and an emission coefficient, and finally reconstructing a three-dimensional electron density field with millimeter-level resolution.

The invention relates to a terahertz wave diagnosis system and method for plasma in an extreme environment. The diagnosis system comprises a terahertz wave transmitting module, a first terahertz feed source, a first cooling cavity, a first high-temperature-resistant focusing lens, a terahertz wave receiving module, a second terahertz feed source, a second cooling cavity, a second high-temperature-resistant focusing lens and a vector network analyzer assembly. According to the terahertz wave diagnosis system, normal-temperature and normal-pressure environments can be created in high-temperature and low-pressure extreme environments, the effect of protecting the terahertz wave module is achieved, interference of strong electromagnetic interference brought by plasmas on processing of received and transmitted signals is avoided, and link loss is effectively reduced; meanwhile, the terahertz wave is higher in frequency, plasma in a higher electron density state can be diagnosed, the focusing lens transmitting antenna and the focusing lens receiving antenna are adopted, and due to the fact that the terahertz wave is shorter in wavelength and smaller in focused focal spot, electron density distribution with higher spatial resolution can be obtained.

This invention discloses a plasma local current measurement device and method based on optical methods, belonging to the field of optical measurement technology. The device includes: a high-energy pulsed laser, a beam splitter, a photodiode for triggering an ICCD camera, a beam sampling mirror for providing optical signals to the photodiode, a focusing lens for focusing the high-energy pulsed laser, a pulsed power device for generating Z-pinch plasma, a beam collector, an achromatic lens for collecting scattered light, a reflective grating spectrometer, an ICCD camera, and a Mach-Zehnder interferometer. Electron density distribution, electron temperature, ion temperature, plasma velocity, and relative electron-ion drift velocity can be simultaneously obtained through plasma interference fringe images and Thomson scattering spectra. The local current at the measurement point is obtained by multiplying the electron density, electron charge, and relative electron-ion drift velocity at the measurement point.

A semiconductor device that includes at least one not intentionally doped compositionally graded ternary, quaternary, quinary or senary ultra-wide bandgap alloy layer. Composition grading along a predetermined axis and changes in energy bandgap in space by compositional grading, alloy material, and effects of said any adjacent layers results in the at least one not intentionally doped compositionally graded ternary, quaternary, quinary or senary ultra-wide bandgap alloy layer being one of an n-type layer with a density distribution of electrons or a p-type layer with a density distribution of holes, depending on design choices. The at least one not intentionally doped compositionally graded ternary, quaternary, quinary or senary ultra-wide bandgap alloy layer is disposed on a substrate layer.

The application discloses a kind of particle evolution simulation methods based on multi-component plasma radiation effect in tokamak, belong to magnetic confinement controlled nuclear fusion technical field.Firstly, the evolution of impurity density distribution, electron density distribution and ion density distribution is calculated, then continuous radiation and linear radiation are calculated, and then a variety of plasma radiation is accurately added inside magnetic island.Calculating the magnetic field configuration under the plasma radiation correction, and continue to calculate the evolution of plasma total radiation and related parameters under advanced magnetic field configuration, so repeated calculation, achieve the simulation effect of long time evolution.The application realizes the calculation of impurity, electron and ion real-time dynamic distribution, and can also calculate the evolution of a variety of plasma radiation under real three-dimensional magnetic field configuration, and then obtain the plasma related parameter profile at any time;Meanwhile, the spatial distribution of plasma radiation and the situation of magnetohydrodynamic instability under advanced magnetic field configuration are more accurately described.

This invention discloses a method and system for dynamic communication reconfiguration of high-speed aircraft. The method calculates plasma characteristic parameters by real-time acquisition of flight status parameters and communication link quality parameters, establishing a plasma sheath electron density distribution model; calculates plasma attenuation based on electromagnetic wave propagation theory, and predicts future link attenuation using a flight trajectory analytical extrapolation method; determines whether to initiate reconfiguration by integrating multi-dimensional triggering criteria of link attenuation, signal-to-noise ratio, and bit error rate; and jointly optimizes communication frequency, transmit power, and beam pointing angle using a multi-objective collaborative optimization method aimed at minimizing communication interruption probability and maximizing power efficiency. The optimal parameters are then distributed to execute reconfiguration and form a closed-loop control. This invention can dynamically adjust communication parameters according to real-time flight status and plasma characteristics, significantly improving the communication support capability and energy utilization efficiency of high-speed aircraft in a plasma sheath environment.

This invention provides a method for diagnosing parameters of non-uniform plasmas based on the local microwave penetration effect. This method relates to the fields of electromagnetics and plasma diagnostics, and includes a combined diagnosis of the electron density distribution and collision frequency of a plasma profile. The method models the plasma to the left of the peak layer by layer and iteratively optimizes the distribution results. The method also uses the maximum reflection coefficient amplitude slope to derive the plasma electron density peak. For the plasma to the right of the peak, the method models multiple distribution models, determining the model using the attenuation coefficient. Furthermore, the method uses the maximum reflection coefficient amplitude to diagnose the collision frequency. This method addresses the problem of diagnosing parameters of non-uniform plasma profiles.

The invention relates to an electron density distribution method for optimally reducing the RCS of a metal plate by a non-uniform plasma. The method comprises the following steps of: enabling electromagnetic waves to vertically enter the metal plate coated by the non-uniform plasma; selecting the optimization range of the electron density of the non-uniform plasma according to the frequency of the incident electromagnetic wave; according to the selected electron density range, the optimization range of the thickness of the non-uniform plasma is selected; determining the optimization range of the non-uniform plasma collision frequency; designing an electron density distribution function according to the selected electron density range; according to the selected electron density range, the non-uniform plasma thickness, the non-uniform plasma collision frequency and the electron density distribution function, performing optimal RCS reduction based on a genetic algorithm; the RCS reduction under the condition that the metal plate is coated by the non-uniform plasma is analyzed in detail, the RCS reduction is influenced by parameters such as the electron density range, the distribution, the plasma thickness and the collision frequency, and after the electron density range, the collision frequency and the non-uniform plasma thickness are determined, the RCS reduction is determined. The optimal electron density distribution can be obtained through optimization of the genetic algorithm, the optimal RCS reduction is obtained, and the method has the advantages of being fast, efficient and accurate.

The invention relates to the technical field of satellite navigation and space environment detection, in particular to an ionosphere electron density reconstruction method based on compressed sensing, which comprises the following steps of: directly outputting a sparse representation matrix aligned with a three-dimensional grid voxel by voxel and support priori and weight of the sparse representation matrix under the input of multi-source data and physical constraint conditions by using a CGAN generator; the problem that the rapid change environment is not matched is solved from the source; physical constraints are added in target generation, and electron density distribution of'spurious spurious spurious' is inhibited; excessive / insufficient regularization caused by fixed weight is avoided on the observation side; according to the quality evaluation, a discriminator is introduced to judge electron density reconstruction and an independent high-credibility reference, error feature confrontation is fed back to a generator and a solver for regularization, closed-loop optimization of generation-reconstruction-evaluation-feedback is achieved, a sparse representation matrix is continuously corrected in an online / quasi-real-time mode, and the quality is evaluated. And the problem of learning solidification deviation of the offline sparse representation matrix is solved.

The invention discloses a method for calculating the electron density of a large-scale structure of a medium weft slot in an ionized layer. The method comprises the following steps: step 1, determining calculation time and a maximum value of the strength of the medium weft slot; step 2, acquiring solar activity data and geomagnetic activity indexes; 3, calculating the electron density of the background ionized layer when the weft slot structure in the ionized layer is not considered; 4, determining the latitude position of a latitude slot in the ionized layer; 5, calculating the zenith angle of the sun; and step 6, determining the longitude position of the weft slot in the ionized layer. According to the method, the influence of the solar geomagnetic activity on the ionosphere midlatitudinal slot is fully considered, the electron density distribution model considering the midlatitudinal slot structure is constructed according to the midlatitudinal slot electron density spatial-temporal change rule obtained through early-stage data statistical analysis, and the calculation precision of an ionosphere model in a related region is effectively improved.

The invention discloses a high-speed aircraft communication dynamic reconstruction method and system, and the method comprises the steps: building a plasma sheath electron density distribution model through collecting flight state parameters and communication link quality parameters in real time, and calculating plasma characteristic parameters; calculating plasma attenuation based on an electromagnetic wave propagation theory, and predicting future link attenuation by adopting a flight path analysis extrapolation method; judging whether reconstruction is started or not through a multi-dimensional comprehensive triggering criterion fusing link attenuation, a signal-to-noise ratio and a bit error rate; performing joint optimization on communication frequency, transmitting power and a beam pointing angle by adopting a multi-target collaborative optimization method taking communication outage probability minimization and power efficiency maximization as targets; the optimal parameters are issued to execute reconstruction, and closed-loop control is formed; communication parameters can be dynamically adjusted according to the real-time flight state and plasma characteristics, and the communication guarantee capability and energy utilization efficiency of the high-speed aircraft in the plasma sheath environment are remarkably improved.

The present invention provides a method for detecting the ionospheric TEC spatial gradient caused by plasma bubbles, comprising: obtaining GNSS observation data and navigation message files, parsing ionospheric related parameters; using a multi-resolution ionospheric tomography algorithm to obtain the electron density distribution of the inversion region, reconstructing the TEC distribution image of the inversion region, and judging whether plasma bubbles appear in combination with the TEC distribution image; if the plasma bubble phenomenon appears, obtaining continuous measurement data of the GNSS satellite within the measurement time period by a GNSS receiver, and preprocessing these measurement data, calculating the ionospheric delay according to the processed measurement data; calculating the ionospheric TEC spatial gradient value, and determining the ionospheric TEC spatial gradient value generated by the plasma bubble. The present invention fully and systematically determines the ionospheric TEC spatial gradient value generated by the plasma bubble. The whole process is simple and easy to execute, and the result is accurate.

A method, system, device and medium for inverting electron density based on stimulated electromagnetic radiation characteristics of a hypersonic target wake, the method comprising: signal acquisition, signal processing, peak value screening, and inversion result obtaining; the system, device and medium are used to implement a method for inverting electron density based on stimulated electromagnetic radiation characteristics of a hypersonic target wake; the present application can achieve the effect of inverting the electron density distribution in the plasma without directly contacting the target by analyzing the stimulated electromagnetic radiation signal, can solve the problems of interference of the probe method on the fluid field, temperature sensitivity, limited measurement range and high cost of the laser interference method, has the non-invasive electron density measurement capability, and high sensitivity, and can have high sensitivity inversion effect without disturbing the target fluid.

The application discloses a method for calculating laser propagation distance in a water cloud system based on a plasma-optical field coupling model, comprising the following steps: calculating the number density of liquid droplets of different sizes in different water cloud systems; according to the difference in the sizes of the liquid droplets, calculating the distribution of the electron density of the plasma generated by the laser in a single liquid droplet; according to the change in the electron density distribution, calculating the feedback of the liquid droplet to the optical field and the change in the optical property of the liquid droplet; and through the calculation of the change in the optical property, calculating the nonlinear absorption of the liquid droplet to different laser intensities. Through the consideration of the scattering and absorption of the liquid droplet to the optical field, the propagation distance of the laser in different atmospheric water cloud systems can be obtained.

The invention discloses a method and device for reconstructing vertical electron density distribution by using a TEC map, and the method comprises the steps: obtaining ionosphere frequency-height distribution data from a meridian engineering data center through setting software, and converting the ionosphere frequency-height distribution data into electron density-height distribution data; performing data quality control on the electron density data to obtain quality-controlled electron density data; based on the electron density data after quality control, time-space collaborative TEC data are matched; based on the TEC data, matching space-time collaborative space physical parameters; on the basis of a symbol regression algorithm of genetic programming, calculation is carried out through an empirical formula of station fitting, and TEC physical fitting features are extracted; training a three-hidden-layer full-connection neural network based on the attention mechanism to obtain a trained neural network; and inputting the current time and the set data into the trained neural network for processing to obtain the electron density distribution of the altimeter station position at the current time. According to the invention, real-time reporting can be realized, and the high-precision application requirement is met.

The application discloses a regional ionospheric electron density calculation method and device and computer equipment. The method comprises the following steps: according to all absolute STEC values, all station coordinate information and the coordinate information of the GNSS satellite, the signal ray intercept length through each grid in the to-be-tomographic region is calculated, and a tomographic observation equation is established; according to the position of each grid point, an air-based occultation ionospheric electron density empirical model is used to generate the prior initial value of the electron density of each grid point at the tomographic moment; and the prior initial value of the grid point electron density is iteratively corrected according to the tomographic observation equation, so that the regional ionospheric electron density distribution is obtained. According to the application, the constrained ambiguity float solution is used as the ambiguity initial value of the next epoch, so that the influence of the decimal part of the ambiguity parameter is eliminated, and the initial value of the air-based ionospheric empirical model is greatly accelerated, and the convergence speed is greatly accelerated.

The invention provides a pulse electron gun and a uniform electron beam generation method, and the pulse electron gun comprises a cathode which is used for emitting electrons; the femtosecond laser is used for generating ultra-short pulse laser, and the cathode absorbs the ultra-short pulse laser to excite and form a pulse electron beam; the anode acceleration structure is used for accelerating the pulse electron beam; and the focusing shaping structure is used for carrying out collimation shaping on the accelerated pulse electron beam to obtain a uniform pulse electron beam. The focusing shaping structure is arranged in the pulse electron gun, the transverse electron density distribution of the pulse electron beam is homogenized, beam bunch expansion caused by the space charge effect can be effectively restrained, and the problems that in the prior art, a radio frequency bunching device is large in size and large in size are solved. The equipment cost is high; and the time jitter may be caused by using a radio frequency compression technology.

The application discloses a three-dimensional ionospheric disturbance extraction method, which comprises the following steps: acquiring double-frequency observation data of a research area from a GNSS receiving station; then, calculating STEC from the GNSS double-frequency signal and converting the STEC into dSTEC to highlight the ionospheric disturbance signal; secondly, constructing an observation matrix containing prior ionospheric model information and utilizing an improved three-dimensional tomography algorithm to iteratively correct and gradually approach the real electron density distribution; thirdly, in the iteration process, adopting inverse distance weighted interpolation to correct the pixels not being passed through, so as to ensure the overall smoothness; finally, inputting the dSTEC data into the improved three-dimensional tomography model, obtaining the three-dimensional ionospheric electron density distribution through iterative solution, and comparing the three-dimensional ionospheric electron density distribution with the actual observation data to verify the accuracy of the method. The method can effectively extract the three-dimensional structure of the ionospheric disturbance, improve the reconstruction accuracy and resolution, and provide an effective tool for studying the response of the ionosphere to events such as earthquakes.

The present invention provides a rapid screening method for corrosion-resistant crystal planes of coinage metals, including: simulating the dissolution process of metals at the electrochemical interface using a layered flat periodic model and outputting an electron density distribution file; preprocessing the output file to obtain a plane-average electron density distribution curve along the Z-axis; dividing the intra-layer and inter-layer regions of the atomic layer of the structure; analyzing the change of electron density in the inter-layer and intra-layer regions, and judging the corrosion-resistant dissolution performance of different crystal planes of coinage metals through the proportion of the number of electrons in the inter-layer. The present invention innovatively divides the intra-layer and inter-layer regions of the atomic layer of the first-principles calculation model, can more efficiently perform quantitative calculation of the electron density of the coinage metal structure, and finally obtain a simple and clear distribution map of the proportion of the number of electrons, effectively presenting the difference in electron density distribution caused by structural changes, and can more quickly judge the more corrosion-resistant crystal plane structure compared with performing energy curve calculation.

The invention discloses an ionosphere prediction method and device based on a white spectrum method and deep learning, and belongs to the technical field of intersection of spatial physics and satellite navigation, and the method comprises the steps: carrying out the preprocessing of multi-source observation data, obtaining time series data, carrying out the white spectrum method analysis of the time series data, and obtaining a disturbance time series; processing the disturbance time sequence to generate a global solar activity level index, a middle and low latitude geomagnetic disturbance index and a polar region geomagnetic disturbance index; the indexes and satellite inversion data serve as input, a deep learning reconstruction model formed by a multi-layer full-connection feedforward neural network is adopted, and ionosphere four-dimensional electron density distribution is output; ionized layer four-dimensional electron density distribution and total electron content observation data serve as input, a space-time prediction model is adopted, and an ionosphere prediction result at the future moment is output. The problems that a traditional spatial index is poor in timeliness and low in resolution and cannot effectively capture the complex time-space characteristics of the ionized layer can be solved.

The invention discloses a plasma electron density distribution microwave diagnosis method based on a particle swarm algorithm, and the method comprises the steps: measuring the phase of an electromagnetic wave without / with plasma through a phase interference principle, obtaining actually-measured phase interference data, calculating an electron density mean value according to the actually-measured phase interference data, and carrying out the calculation of the electron density mean value; generating a plurality of different initial electron density distributions, and then performing multi-order fitting on the initial electron density distributions to obtain an electron density distribution fitting formula; fitting coefficients in the fitting formula serve as particles of a particle swarm algorithm, and an initial population is generated; according to the initial population, plasma electron density distribution is obtained through iterative solution by means of the particle swarm algorithm, phase interference data, corresponding to the electron density distribution, of particles are calculated through a ray tracing method in iteration and serve as analog phase interference data, and the particle fitness is calculated according to the analog phase interference data and actually-measured phase interference data. According to the invention, the electron density distribution diagnosis precision and the resource utilization rate in the strong refraction scene are effectively improved.

The present invention relates to a method for identifying the radial position and amplitude evolution of a fishbone pattern based on a fast-sweep microwave reflectometer, and belongs to the field of plasma diagnosis. The physical principle underlying the method is that a fishbone pattern causes a change in the electron density gradient at its location, and that the electron density gradient is greatest at the location of the fishbone pattern. The present invention radially differentiates the electron density distribution obtained by a fast-sweep microwave reflectometer with high temporal and spatial resolution, and extracts the radial position and value of the maximum electron density gradient in the plasma core region to identify the radial position and amplitude evolution of the fishbone pattern. Compared to conventional methods of identifying the position and amplitude of a fishbone pattern using line integral measurement results from soft X-ray diagnosis, the present invention has higher temporal and spatial resolution, can more accurately identify the radial position and amplitude evolution of a fishbone pattern, is simple to operate, and is reliable and efficient.

The application discloses a GNSS-S radar echo phase correction method based on a spaceborne vertical sounding instrument and a occultation receiver, which utilizes a GNSS-S radar, an occultation receiver and a spaceborne vertical sounding instrument on the same low-orbit satellite platform for cooperative detection. The first electron density profile from the bottom to the top of the ionosphere at a specific position in front of the satellite is acquired by the occultation receiver; when the satellite flies to the position, the second electron density profile from the peak height of the ionosphere to the height of the satellite platform is acquired by the vertical sounding instrument; the second profile is used to calibrate and fuse the first profile to obtain a corrected profile; based on the fused profile, the complete electron density distribution of the downlink and uplink propagation paths of the GNSS-S radar signal is reconstructed, and the total electron content of the paths is calculated respectively; then, the phase error correction amount is calculated according to the total electron content and a phase delay model, and finally, the radar echo is phase compensated to correct the target positioning result. The application can realize accurate correction of the GNSS-S radar phase error caused by the ionosphere.

The invention provides a three-dimensional electron density prediction method and device, equipment, a storage medium and a product, and the method comprises the steps: inputting scattering curve features into a trained electron density prediction model, and obtaining an electron density vector outputted by the electron density prediction model; performing three-dimensional remodeling based on the electron density vector to obtain three-dimensional electron density distribution; wherein the electron density prediction model comprises an input layer, a first hidden layer, a second hidden layer and an output layer; the input layer is used for receiving scattering curve characteristics; the first hidden layer and the second hidden layer are used for carrying out nonlinear mapping and regularization processing from the scattering curve to the electron density on the characteristics of the scattering curve to obtain potential characteristics of the electron density; and the output layer is used for mapping the potential characteristics of the electron density to a final output space and outputting an electron density vector. According to the method, efficient mapping from the scattering curve to the electron density can be realized without manually establishing a physical model, and the three-dimensional electron density distribution can be efficiently and automatically predicted.