580 results about "Elevation angle" patented technology

The invention relates to the technical field of solar irradiance prediction, and discloses a solar irradiance prediction method and system based on data fusion, and the method comprises the steps: obtaining a cloud layer gray image, a wind speed vector, a terrain elevation, a slope inclination angle, a solar azimuth angle and an elevation angle, calculating the movement speed and direction of a cloud layer based on the cloud layer image and the wind speed vector, and obtaining a prediction result. Calculating a shielding path in combination with a terrain elevation and a sun position; generating a terrain shielding influence coefficient matrix; fusing a gradient and shielding data to generate a dynamic effect graph; performing cloud-ground shielding analysis based on the dynamic effect graph and a cloud trajectory to obtain cloud-ground coupling influence distribution; using a random forest algorithm to fuse the coupling distribution and the shielding coefficient to calculate an initial irradiance probability, and forming a preliminary prediction result; and inputting the time sequence prediction model, the cloud trajectory and the shielding coefficient into a trained time sequence prediction network, and outputting an optimization result. According to the method, prediction requirements under complex terrains and rapid weather changes can be met.

A method for target position estimation based on a distributed reconfigurable intelligent surface (RIS) transmissive array is provide, including: configuring distributed RISs as an RIS transmissive array, wherein the distributed RISs include two RIS transmissive array surfaces, a target source and receiving radio frequency (RF) chains are respectively disposed on two sides of the RIS transmissive array, the receiving RF chains are connected to receiving antennas, and the target source emits a pilot signal into space; transmitting the pilot signal through the RIS transmissive array to the receiving RF chains to obtain a received signal; determining an azimuth angle β and an elevation angle α of the target source relative to each of the two RIS transmissive array surfaces by processing the received signal; and constructing two rays respectively passing through centers of the two RIS transmissive array surfaces based on the azimuth angles β and the elevation angles α of the target source relative to the two RIS transmissive array surfaces, determining a median of a shortest distance between the two rays, and determining a position of the median as a position of the target source.

The invention discloses an in-orbit pointing deviation correction method for a two-dimensional mechanical antenna oriented to a panel satellite spot beam. The method comprises the following steps: acquiring an azimuth angle, a pitch angle and telemetry information of an antenna pointing to a ground station in real time in an in-orbit manner; reversely calculating a gain difference value between the actual signal and the theoretical signal; judging whether the gain difference meets the pointing precision requirement or not, and if not, inversely calculating the deviation angle of the actual pointing vector and the theoretical pointing vector and the actual pointing vector; a Gauss-Newton method is adopted to solve an optimal theoretical pointing vector; resolving an installation matrix pointed by the matching theory and adjusting an antenna installation matrix; and repeating the steps to form a closed loop until the gain difference meets the precision requirement. According to the method, three-dimensional installation matrix correction is adopted to replace traditional zero correction, closed-loop feedback and nonlinear optimization are combined, multi-source error high-precision compensation is achieved, the engineering feasibility is high, the in-orbit multi-satellite batch correction requirement of the panel satellite is met, and the communication system reliability and the data transmission rate are remarkably improved.

Disclosed in the present invention are a dual electro-optic frequency comb-based laser tracking interferometric spatial coordinate measurement system and method. Multiple target mirrors are identified by means of a vision module, to guide a rotating mirror to direct laser light toward each target mirror individually. A laser tracking interferometric ranging module obtains a tracking error of the laser beam deviating from the center of the target mirror to be used for closed-loop tracking control. A light source module outputs single-frequency laser light traceable to a gas absorption peak. By controlling a light source modulation module to enable or disable an electro-optic phase modulation drive signal, dual electro-optic frequency combs or dual-frequency continuous-wave laser light is outputted. In a tracking state, the laser tracking interferometric ranging module respectively uses the two light sources to measure the absolute distance and the relative displacement of a target mirror, and the real-time distance between the target mirror and an original point is computed by means of distance fusion; the elevation angle and the azimuth angle of the target mirror are obtained in real time by means of an azimuth angle and elevation angle measurement module; tracking control and coordinate computation are carried out by means of a tracking control and signal processing module and a computer, and finally three-dimensional spatial coordinates of all the target mirrors are measured.

The invention provides a method for generating weather radar contour surface grid point data by considering beam width, and belongs to the technical field of weather radars, and the method comprises the following steps: obtaining radar base data, radar scanning range, target contour surface height, grid spacing and calculation precision, constructing a standardized grid, and obtaining a target contour surface grid point data set; the method comprises the following steps of: screening standard grid points meeting a radar scanning range, extracting data of which the current elevation angle meets a contour surface requirement, calculating a central azimuth angle of each layer of elevation angle and each radial wave beam, merging radar data of each layer under polar coordinates, and mapping radar data of the polar coordinates to a screened standard grid. The calculation complexity of the method is greatly optimized, and the calculation efficiency of the method is remarkably different from that of a traditional method.

The invention provides a three-dimensional positioning method and system for a satellite-borne multi-base radar system based on weighted linear iteration, and the method comprises the steps: obtaining radar echo data of a plurality of receivers, carrying out the effective detection of a target, and carrying out the searching of a pitch angle and a space taper angle of a target signal through a two-dimensional adaptive filtering technology, obtaining two-dimensional angle estimation information of the target at different bases and different visual angles; constructing a nonlinear equation set according to two-dimensional angle information and slope distance information of the target under different visual angles, and performing first-order Taylor expansion on the nonlinear equation set to obtain a corresponding linear overdetermined equation set; and forming a precision matrix according to the known measurement precision of the radar system, and carrying out normalization operation and iterative solution on the linear overdetermined equation to obtain the three-dimensional coordinate of the target in the earth-centered earth-fixed coordinate system, thereby obtaining the latitude, longitude and height information of the target, and realizing the high-precision three-dimensional positioning of the multi-static radar system.

The invention discloses a radiation correction method and system for an airborne hyperspectral imager. The radiation correction method and system are used for improving the radiation correction precision in complex weather. The method comprises the following steps: calculating a theoretical sun position based on unmanned aerial vehicle initial coordinates, ephemeris data and atmospheric parameters; performing course and differential compensation on a solar azimuth angle by combining IMU course and wind speed and direction data, performing refraction correction on an elevation angle, and outputting a high-precision sun position parameter; hyperspectral images and irradiance data are synchronously acquired, quaternion interpolation is combined with IMU data to realize space-time alignment, and attitude disturbance is eliminated; a hemispherical space irradiance model is constructed based on alignment data, cloud layer modes (clear sky, thin cloud and thick cloud) are divided according to atmospheric optical thickness variance, and Lambert body proportion correction, a discrete longitudinal standard method or a deep convolutional spectral network are respectively adopted for radiation correction. The method remarkably improves the correction precision and generalization ability, supports large-area image splicing, and is suitable for quantitative application of geological exploration, environment monitoring and the like.

The invention discloses a multi-GNSS satellite signal power abnormity real-time monitoring method. The method comprises the following steps: acquiring real-time observation data of an observation station network which is uniformly distributed globally; when the linear relation between the carrier-to-noise ratios of different frequency signals of each satellite in each observation station and the dynamic monitoring threshold value related to the elevation angle of each satellite are determined, one signal is used for predicting another signal by using the linear coefficient, and the deviation between an actual value and a predicted value is calculated; calculating a satellite elevation angle of the real-time observation data, and determining a monitoring threshold value of the current satellite at the current moment according to the satellite elevation angle; and counting an average value of the deviations of all satellites monitored by all observation stations at the current moment, and marking that the power of the current satellite at the current moment is abnormal when the absolute deviation of the current satellite is greater than a monitoring threshold value. According to the invention, on the basis of the carrier-to-noise ratio linear relation of different frequency signals and the dynamic monitoring threshold, real-time monitoring of various power abnormal scenes including natural interference, man-made interference, satellite active power adjustment and the like is realized.

The invention discloses a comprehensive quality evaluation method and system for Beidou deformation monitoring observation data in a complex environment, and relates to the technical field of satellite navigation positioning, and the method comprises the steps: carrying out the comprehensive evaluation of an elevating angle, a signal-to-noise ratio, an epoch difference and an environment model of the observation data of a Beidou single station, and determining the initial quality of the data; based on the double-difference observation values among the multiple stations, the data quality evaluation precision is further improved by combining a double-difference ambiguity resolving method; according to the method, ionosphere delay, three-difference errors and inter-epoch difference errors are used for data fusion, a more accurate quality evaluation result is obtained, and finally, the data are optimized through comprehensive analysis based on the quality evaluation results of various types of data so as to ensure accurate positioning and deformation monitoring. The technology aims at improving the accuracy and reliability of data quality evaluation by comprehensively analyzing influence factors of Beidou observation data in a complex environment, and provides support for geological disaster monitoring, smart city construction and other high-precision application scenes.

The utility model provides a lens antenna, which relates to the technical field of antennae and comprises a luneberg lens, an earth radiation unit, an air radiation unit, a horizontal adjusting mechanism and a tipping adjusting mechanism. The center of the Lunberg lens is located on a reference plane, and the reference plane is parallel to the horizontal plane or forms a preset included angle with the horizontal plane. The to-ground radiation unit is arranged towards the center of the luneberg lens in a radiation manner, and the to-ground radiation unit is located above the reference surface; the air radiation unit is arranged towards the center of the luneberg lens in a radiation manner, and the air radiation unit is located below the reference surface; the horizontal adjusting mechanism is used for synchronously adjusting the main radiation direction of the to-ground radiation unit and the main radiation direction of the to-air radiation unit in the horizontal direction; and the tipping adjusting mechanism is used for independently adjusting the elevation angle of the main radiation direction of the air radiation unit. The lens antenna provided by the utility model has the characteristic of multidimensional adjustability, can meet the requirements of low altitude and ground coverage at the same time, and is compact in structure and small in occupied space.

The invention discloses a distributed ground-based radar atmospheric refraction error calculation method for celestial body observation. According to the method, a local numerical weather forecast model is corrected by using real-time surface meteorological parameters, atmospheric refractive index profile data containing elevation meteorological information is obtained, a geometric elevation angle of a celestial body target is taken as a standard, and a neutral atmospheric refractive index error is searched in combination with a corrected data source and a ray tracing method, so that the atmospheric refractive index is obtained. And finally, neutral atmospheric refraction error calculation and correction are realized. The effectiveness of the algorithm is verified through simulation.

The invention provides a belt tearing rapid detection and early warning device and method based on artificial intelligence, and relates to the technical field of equipment detection. According to the device provided by the invention, a monitoring unit is arranged at a blanking port, and a high-speed CCD (Charge Coupled Device) camera mounted at a 45-degree elevation angle works cooperatively with a laser transmitter to capture a line laser image at the bottom of a belt in real time; the core technology of the rapid detection and early warning method comprises the following steps: 1) an improved Sobel enhancement operator is used for inhibiting dust and water stain interference while keeping a real edge; 2) performing multi-scale LBP feature analysis, and accurately extracting crack textures in combination with dynamic threshold segmentation; the method comprises the following steps of (1) building a deformation index DI model to realize grading early warning, (2) building a deformation index DI model to realize grading early warning, (3) capturing space-time continuity through a 3D convolution kernel and realizing longitudinal crack detection in cooperation with the curvature quantification model, (3) building a distortion index DI model to realize grading early warning, (4) iron ore field verification shows that the transverse crack detection rate and the longitudinal crack early warning accuracy are both higher than those in the prior art, the false alarm rate in a dust environment is as high as 7%, and material leakage and safety accidents are effectively avoided.

The invention relates to the technical field of satellite communication, in particular to a dynamic beam adjustment system for medium and low orbit satellite communication. Comprising a beam demand sensing unit; the dynamic beam calculation unit counteracts the influence of a complex environment on beam coverage through a multi-factor cooperative compensation mechanism; the beam execution adjustment unit is used for realizing beam accurate pointing and interference suppression through an adaptive phase optimization algorithm; and a satellite-ground cooperation unit. Through a multi-factor cooperative compensation mechanism, a beam theory pointing angle is calculated based on a spherical geometrical relationship, compensation amounts are determined by combining satellite motion, user movement and atmospheric refraction, and a communication scene is determined according to a satellite elevation angle, a user terminal motion speed and a communication link signal-to-noise ratio. The weight of each compensation amount is dynamically adjusted and synthesized into the total compensation amount, and finally the actual beam pointing angle is obtained, so that the coupling influence of multiple factors on beam coverage in a complex environment is effectively counteracted, and the beam pointing precision is improved.

The invention belongs to the technical field of meteorology, and particularly relates to a sand storm monitoring method based on aerosol window analysis and spectral indexes. Preprocessing the Himawari-8 data, and generating a raster data set including channel data, latitude and longitude information, elevation angle information and zenith angle information; a lookup table is constructed through a 6S radiation transmission model, and the optical thickness of the aerosol is inverted by using spectral information in the remote sensing image; scanning an image through a sliding window, and screening a sand storm feature region in combination with weighted average, standard deviation and abnormal judgment of aerosol concentration; establishing a sand-dust spectral index by using the sand-dust sensitive wave band; and combining the aerosol concentration with the sand and dust spectral index to extract sand and dust storm information. According to the method, the aerosol concentration and the sand dust spectral index are combined, sand dust storm information can be effectively identified and extracted, and important data support is provided for environmental protection and disaster early warning; the diversity of the sand storm detection method is increased, and the obtained result is accurate and reliable.

The invention relates to a double-antenna BDS-R real-time water level monitoring method and an integrated device, and belongs to the technical field of GNSS remote sensing. The method comprises the following steps: data acquisition; data processing: firstly decoding the received data, and extracting a double-frequency pseudo range and a carrier phase observation value; a second step of performing quality control on the decoded data, including constraint of an elevation angle and an azimuth angle, cycle slip detection and the like, and eliminating non-water-surface reflection signals and abnormal data; a third step of establishing a double-difference observation equation based on the pseudo-range and carrier phase observation value, introducing a horizontal baseline constraint into the observation equation, and enhancing the resolving stability through virtual observation quantity; fourthly, Kalman filtering is used for achieving per-epoch baseline estimation, and a least square ambiguity decorrelation adjustment (LAMBDA) method is used for solving a baseline fixed solution; and finally calculating the water level of the current epoch by using the baseline vector. And transmitting data. According to the invention, the problems of poor real-time performance, complex deployment and high cost in the existing water level monitoring technology are solved.

The invention discloses a large-parallax large-angle rotation infrared image splicing method, and relates to the technical field of infrared image splicing, the large-parallax large-angle rotation infrared image splicing method comprises the following steps: detecting a vanishing line in a to-be-spliced image, using the vanishing line and affine transformation to construct an integral homography matrix, and using the integral homography matrix to construct an integral homography matrix; and according to the overall homography matrix, recovering the parallel relationship of the straight line segments in the to-be-spliced image, correcting the orthogonal relationship of the straight line segments, and splicing and fusing the corrected image to obtain an infrared spliced image. The method can find the horizon line of the scene in the image and correct the horizon line to the horizontal direction, greatly reduces the difficulty of image splicing, has a strong correction capability for the image shot at a certain elevation angle, has a good effect of the spliced image obtained by the method, conforms to the visual habit of human eyes, and has a good application prospect. The requirements of large field of view and high resolution are met, and the system is particularly suitable for application scenes during infrared image shooting.

The invention discloses a ground large-aperture reflector composite support design method and a ground large-aperture reflector composite support structure. The ground large-aperture reflector composite support design method comprises the following steps: S1, determining the position of an adhesive point annular belt of a center support at a center hole of a lightweight primary mirror; s2, determining the position of a distribution circle supported by six points on the back of the primary mirror; s3, designing the size of a force unloading groove at the central support for releasing thermal stress; s4, designing the size and the installation depth of a universal flexible joint supported by six points, and realizing freedom decoupling; and S5, parametric modeling is carried out on the supporting structure, supporting parameters are optimized through finite element analysis, and it is ensured that the optical surface deformation RMS values of the primary mirror at the optical axis level and the 60-degree elevation angle are both not larger than 15 nm. The problem that in the prior art, when a large-aperture reflector is in the environment of large temperature change and large pose change, the optical surface is deformed due to the action of thermal stress and gravity, and the imaging quality is affected is effectively solved.

The embodiment of the invention provides a bridge monitoring satellite data quality control method based on signal-to-noise ratio grid comparison, and belongs to the technical field of satellites. The method comprises the following steps: carrying out pseudo-range single-point positioning calculation according to an observation value file and a broadcast ephemeris file to obtain observation data of each satellite; performing grid division on the satellite sky map according to a preset elevation angle interval and an azimuth angle interval to obtain a standard grid; on the basis of a standard grid, independently stacking observation data of each observation station to obtain a signal-to-noise ratio grid model corresponding to each observation station; performing preferential fusion according to the signal-to-noise ratio grid models of all the observation stations to obtain a high-quality grid model; performing data comparison on the signal-to-noise ratio grid model of each observation station and the high-quality grid model to obtain an available data area of each observation station; and performing quality control on the current observation data according to the available data area to obtain high-quality data. According to the invention, the observation area which is not subjected to interspersed shielding interference can be identified, and data quality control is realized.

The invention discloses a rectangular plane phased-array antenna rapid phase matching resolving system and method based on an FPGA, and relates to the technical field of phased-array antenna beam pointing control. According to the scheme, phase complementation operation in beam pointing control is converted into normalization processing of a numerical value 1, and a row and column step-by-step computing architecture is adopted; and the FPGA resource consumption is greatly reduced while the phase resolving precision is ensured. Input azimuth angle and pitch angle information is converted into corresponding trigonometric function values by combining a look-up table method with pre-stored trigonometric function values, phase difference information between adjacent array elements is obtained after the trigonometric function values are multiplied by corresponding frequency points and array element spacing information, a row / column phase matrix is generated through accumulation operation, combination operation is carried out, and the array element spacing information is obtained. And finally, phase matching calculation of more than 1024 array elements is completed at a microsecond level.

The invention discloses an urban green land carbon sink dynamic monitoring method based on multi-source remote sensing data. The method comprises the following steps: acquiring spectral data, a solar azimuth angle and an elevation angle corresponding to the spectral data, meteorological data and vegetation state data; processing the spectral data by using a two-channel convolution model to obtain a vegetation parameter vector; processing the spectral data and the solar azimuth angle and the elevation angle corresponding to the spectral data by using a photosynthetically active radiation dynamic model to obtain photosynthetically active radiation; and according to the meteorological data, the photosynthetically active radiation, the vegetation state data and the vegetation parameter vector, calculating the carbon sink intensity by using a dual-time scale LSTM network. The method is high in calculation timeliness and calculation accuracy.

The invention belongs to the technical field of photovoltaic power generation, and provides a photovoltaic module dip angle and azimuth angle optimization method and system based on hour electricity price, and the method comprises the steps: firstly determining a solar elevation angle and a solar azimuth angle according to a geographic position; determining an incident angle between sunlight and the surface of the photovoltaic module according to the solar elevation angle and the solar azimuth angle; then, according to the incident angle and the irradiation data, the hour effective radiation power of the photovoltaic module under any angle combination is determined, so that the total generation power is obtained; constructing a unit area annual income objective function by using the hour electricity price as a weight; and finally, according to the objective function, determining an optimal combination of the inclination angle and the azimuth angle of the photovoltaic module. Hour-level sun position calculation and incident angle radiation modeling are introduced, and a revenue function is constructed by taking the hour-by-hour electricity price as a weight, so that the optimal combination of the dip angle and the azimuth angle of the photovoltaic module under the optimal economical efficiency is realized.

Disclosed in the present invention are a method and apparatus for constructing an ionospheric mapping function model, a device, and a storage medium. The method comprises: acquiring historical slant total electron content data of an ionosphere; in the historical slant total electron content data, taking, as a corresponding historical vertical total electron content value, a historical slant total electron content value corresponding to a satellite elevation angle greater than a preset angle, and calculating a corresponding historical mapping function value; acquiring a corresponding Modified Julian Day, local time, satellite elevation angle and azimuth angle of an ionospheric pierce point; and on the basis of the historical mapping function value, the Modified Julian Day, the local time, the satellite elevation angle, and the azimuth angle of the ionospheric pierce point, training a preset LSTM model by taking the Modified Julian Day, the local time, the satellite elevation angle and the azimuth angle of the ionospheric pierce point as inputs and taking the historical mapping function value as an output, so as to obtain an ionospheric mapping function model. The present invention can improve the accuracy of ionospheric mapping functions.

The invention relates to the technical field of satellite wireless laser communication, particularly provides an initial pointing method for a satellite-borne laser communication terminal, and aims to solve the problems that in the prior art, the calculation process occupies time, and the initial pointing effect of the laser communication terminal becomes poor. In order to achieve the purpose, the satellite-borne laser communication terminal initial pointing method comprises the following steps that six orbital elements of two satellites are obtained; calculating a predicted mean anomaly of the satellite at the aiming moment of the laser communication terminal; the true anomaly of the satellite at the aiming moment of the laser communication terminal is calculated; respectively calculating position vectors of the two satellites in a satellite orbit coordinate system based on the true anomaly of the two satellites; calculating a pitch angle and an azimuth angle of the laser communication terminal; and controlling the laser communication terminal to steer based on the pitch angle and the azimuth angle. Compared with the prior art that delay needs to be calculated firstly and then compensation needs to be performed, the time consumed by calculation is reduced, and the initial pointing precision is remarkably improved.

The invention discloses a calculation method for determining a visible time period between a satellite and a ground station through TLE data, and relates to the technical field of spaceflight measurement and control and satellite communication scheduling. Through a dynamic sampling mechanism of cluster perception, the time resolution is automatically improved in a dense transit period, the sampling density is reduced in a non-cluster period, the redundancy calculation is remarkably reduced, and the calculation efficiency is improved. The calculation power peak congestion is avoided; a boundary detection algorithm based on elevation angle change rate symbol switching can capture a rapid jump point of a satellite elevation angle, the error merging phenomenon of short interval windows is eliminated, and the precision of an output timestamp reaches a sub-second level; the confidence identification dynamically reflects TLE data timeliness and cluster complexity, a user can intuitively evaluate the window time credibility, and the communication interruption risk caused by orbit prediction errors is reduced.

The application provides an orbit transfer strategy optimization method and system for a large-ellipse frozen orbit satellite orbiting, comprising the following steps: acquiring a satellite-rocket separation orbit and a station parameter, calculating an elevation angle of the satellite and the station, and then determining a range of a true anomaly angle of pulse ignition meeting a measurement and control requirement; in combination with the range of the true anomaly angle of pulse ignition, generating a fuel most-probable pulse orbit change strategy of the satellite from an initial orbit to a target orbit, determining an orbit change speed increment, an ignition position and an ignition frequency; determining ignition-on and ignition-off conditions of each orbit change and a drift circle number between adjacent two orbit changes; according to the pulse orbit change strategy, respectively determining an initial value of an ignition time length, an ignition time and a thrust direction of each orbit change, and determining the final ignition time length, the ignition time and the thrust direction of each orbit change. The application adopts a non-apogee double-pulse orbit change strategy to design a fuel optimal orbit transfer strategy of a large-ellipse frozen orbit satellite orbiting, and solves the design method problem of the orbit transfer strategy.

The invention discloses a multi-view three-dimensional reconstruction method and device based on reliable anchor point guidance and a medium, and the method comprises the steps: firstly extracting a high-confidence anchor point from a multi-view image, optimizing auxiliary visual angle selection with the visibility of the anchor point as a constraint, and achieving the stable diffusion of a depth initial value through confidence propagation; in the reconstruction stage, deformation parameters of local patches are adaptively adjusted according to scale differences and elevation angle changes between visual angles, so that geometric consistency and detail fidelity of depth estimation are enhanced; and finally, dynamically adjusting a point cloud sampling strategy according to anchor point density distribution and a visual angle overlapping rate, and realizing dense three-dimensional reconstruction with noise suppression and continuous structure. The method can maintain the reconstruction precision and stability under the conditions of complex visual angles and multiple types of images, is suitable for the scenes of engineering surveying and mapping, intelligent monitoring, unmanned aerial vehicle photogrammetry, digital twin model updating and the like, and has the characteristics of high robustness, high precision and good expandability.

The invention discloses a very high frequency broadband radiation source positioning method based on energy weighted subspace fitting, and relates to the technical field of signal processing and radiation source imaging, and the method comprises the steps: carrying out the DFT processing of a lightning very high frequency broadband signal collected by an array, and obtaining any narrowband component; then characteristic decomposition is carried out on covariance matrixes of X-axis and Y-axis sub-arrays according to array receiving signals, main characteristic vectors are taken as signal sub-spaces, in order to emphasize the signal sub-spaces with higher energy, characteristic values are used for weighting, weighted signal sub-spaces are constructed, then the signal sub-spaces are fitted by using a least square method, and the signal sub-spaces with higher energy are obtained; the method comprises the following steps: further constructing a sub-band energy weighted spatial spectrum adapted to a very high frequency broadband signal, then carrying out spectrum peak search on the weighted spatial spectrum to obtain a spatial angle of a spectrum peak, and finally calculating the direction of arrival of a radiation source according to a spatial angle relation to obtain an azimuth angle and an elevation angle. According to the invention, aiming at a lightning very-high-frequency weak radiation source positioning problem, a lightning channel can be inverted more clearly.

The invention discloses a method for constructing a regional polynomial ionosphere oblique delay model, which belongs to the field of ionosphere delay error correction of a global satellite navigation system, and comprises the following steps of: calculating a signal puncture point coordinate through a reference station latitude and longitude coordinate, and calculating a signal puncture point coordinate by taking the signal puncture point coordinate, observation time and a satellite elevation angle as joint independent variables; sTEC constructs a polynomial function model for dependent variables; the spatial-temporal dynamic characteristics and the geometric characteristics of the sight line of the satellite are synchronously incorporated into modeling, and the spatial-temporal change rule of the ionosphere region is accurately captured; by utilizing polynomial analysis characteristics, model parameters can be quickly output, a user can directly calculate the required STEC only by inputting own coordinates, time, a satellite elevation angle and a satellite azimuth angle, the process is remarkably simplified, and the real-time performance is improved. According to the invention, the defects of precision and efficiency in a complex regional scene in the prior art are overcome, and a more reliable ionosphere error correction scheme is provided for regional GNSS high-precision positioning.

The invention discloses a wind speed deviation calibration method for a wind measurement laser radar, and the method comprises the following steps: carrying out the scanning of the laser radar in a plurality of different azimuth angles and elevation angles, and collecting the radial speed data; for each elevation angle, based on the radial speed data of different azimuth angles, fitting a relation model between the radial speed and the azimuth angles to obtain fitting parameters including horizontal wind speed component projection parameters and constant terms; establishing a linear model by using the relationship between the constant terms under the plurality of elevation angles and the corresponding elevation angles, and solving the vertical wind speed component and the zero wind speed deviation of the laser radar system through fitting; correcting radial speed data acquired by the laser radar according to the zero wind speed deviation; the method is suitable for various scanning modes, can be suitable for different types of laser radar systems, and has good engineering realizability and practical value.

The invention relates to a laser communication terminal coarse tracking control system, and relates to the technical field of laser communication, the system comprises a turntable module and a data control processing module, the turntable module comprises an azimuth angle turntable and a pitch angle turntable, the pitch angle turntable is provided with a mounting rack through a connecting piece, and the upper end of the mounting rack is provided with a coarse tracking camera; the mounting frame is used for capturing the target light spot position and transmitting the target light spot position to the data processing control module, a support is fixedly arranged on one side of the upper end of the mounting frame, and an infrared camera is fixedly arranged at one end of the support. According to the application, the coarse tracking camera is arranged, the infrared camera is arranged at the upper end of the mounting frame, and the infrared camera can filter ambient visible light clutters due to high penetrability of infrared light to a target light source, so that a clear light spot image is generated, and the problem that a traditional single camera cannot be used in a complex light environment is solved. And furthermore, the success rate of target light source capturing is improved.