945 results about "Elevation angle" patented technology

The invention provides a method for reducing the multipath effect of a take-off and landing guide radar based on adaptive off-axis tracking, and the method comprises the steps: enabling the take-off and landing guide radar to transmit a signal, and transmitting the signal to a radar direction after receiving the signal; the radar receives the direct signal and the multi-path signal at the same time, and separates and establishes a spatial-temporal characteristic database of the multi-path signal; when the influence of the signal on the angle error exceeds a dynamic threshold value, starting an off-axis tracking mode; dynamically calculating the optimal off-axis angle, locking the elevation angle of the antenna, and performing closed-loop tracking of the azimuth; carrying out conjoint analysis, and identifying and eliminating false targets in real time; intelligent suppression is carried out on angle random errors; a real-time multi-path propagation model is constructed, and phase and amplitude compensation is carried out on a received signal. The method has excellent real-time performance and engineering realizability, and can meet strict requirements of aircraft precision approach guidance. The method has good expandability and adaptability, and provides reliable technical support for guaranteeing safe take-off and landing of the aircraft in severe weather and complex environments.

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 a broadband lightning very high frequency radiation source positioning method based on an ESPRIT algorithm, and the method comprises the steps: 1, constructing an orthogonal uniform linear very high frequency antenna array, and collecting broadband lightning very high frequency signals; 2, discrete Fourier transform is carried out on the broadband thunder and lightning very-high-frequency signals, the broadband thunder and lightning very-high-frequency signals are divided into J frequency points, and the frequency domain value of each frequency point signal is worked out; step 3, dividing the orthogonal uniform linear very high frequency antenna array into two sub-arrays in an x-axis direction and a y-axis direction, positioning each frequency point value of the signals in the two directions by using an ESPRIT algorithm, and respectively obtaining a calculation incident angle of each frequency point in the two directions; step 4, carrying out phase ambiguity resolution on the calculated incident angles of each frequency point in the two directions so as to obtain a real incident angle; and 5, calculating the azimuth angle and the elevation angle of the radiation source according to the real incident angle. According to the invention, rapid and refined positioning imaging of the lightning radiation source can be realized.

The invention provides a three-dimensional wind field inversion method of a coherent wind lidar, and relates to the technical field of lidar wind measurement, and the method comprises the steps: building a mathematical model of a coherent wind lidar receiving echo signal, and determining an optimal target detection distance; under the optimal target detection distance, emitting a modulated laser detection signal to a target wind field, and processing echo signals which are received by a laser radar and are mixed at different frequencies to obtain an echo signal light field distribution condition; calculating the radial velocity of the wind in the wind field of the target based on the light field distribution condition of the echo signal; the elevation angle of the laser radar is fixed, the four orientations are scanned, radial wind speeds corresponding to the four orientations are obtained, the atmospheric three-dimensional wind field is inverted, and real-time atmospheric wind field three-dimensional detection with high temporal-spatial resolution and high wind measurement precision can be realized.

Systems and methods for sensor-agnostic representation of human presence information are described. An operating system of a computing device with a display screen is configured to receive, from a sensor system, human presence information representing the position and posture of one or more persons detected by a sensor of the sensor system, where the human presence information is determined based on a coordinate system associated with the display screen. The human presence information has the same format regardless of the sensor technology. The human presence information includes an elevation angle, an azimuth angle, a face pitch, a face roll, and / or a face yaw of the person relative to the sensor and / or display screen. The operating system may use the human presence information to implement privacy-related features and / or may provide the human presence information to one or more applications via an API.

The invention provides a single-station lightning three-dimensional positioning system and method. The positioning system mainly comprises a direction detection unit, a distance detection unit, a GNSS time service unit, a positioning unit and a three-dimensional image generation unit. A plurality of VHF antennas, an electric field antenna and a magnetic field antenna synchronously collect lightning signals, the lightning signals are converted into digital signals through analog-to-digital conversion, and GNSS time service marks timestamps and stores the timestamps. The direction detection unit detects the time difference from the lightning radiation source to the VHF antenna, performs angle and time difference conversion, and calculates the elevation angle and azimuth angle of the lightning radiation source. And the distance detection unit performs fast Fourier transform on the acquired electric field signal and magnetic field signal, fits a ratio curve constant A and a ratio curve constant B, and calculates the distance between the lightning radiation source and the observation station. And matching the azimuth angle, the elevation angle and the distance information marked with the same timestamp, positioning the position of an instant lightning radiation source, and matching all positioning results of a continuous lightning event one by one according to the same timestamp to obtain a lightning three-dimensional graph in the space model.

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 belongs to but is not limited to the technical field of radio detection direction finding, and discloses a double-antenna three-dimensional rotating baseline direction finding method, device and system. Inter-channel phase deviation table compensation is carried out, equal-frequency-interval full-working-frequency-band measurement is carried out on phase deviation between two measurement channels in advance, and a channel phase deviation compensation table AB is formed; the compensation module is used for compensating inherent phase deviation between the channel A and the channel B; after the double-antenna three-dimensional rotating baseline direction finding device starts to work, a baseline formed by the antennas AB rotates anticlockwise at an angular velocity omega, two receiving channels synchronously collect data, and phase difference is calculated for the data corresponding to the baselines AB; based on a two-dimensional joint search method, through combination of coarse search and fine search, an azimuth angle and a pitch angle are estimated. According to the technical scheme provided by the invention, the direction finding range and reliability of a traditional system are greatly expanded, meanwhile, the cost is basically not increased, and the large-scale application of the technical system can be promoted.

The invention discloses a GNSS (Global Navigation Satellite System) water level inversion model, which belongs to the technical field of water disaster prevention and marine environment monitoring, and comprises the following steps: S1, acquiring original data: an SNR (Signal to Noise Ratio) observation value and a GNSS observation value; s2, setting parameters: determining cut-off elevation angle information and azimuth angle information according to the surrounding environment of the shore-based GNSS monitoring station; s3, direct reflection signal separation: selecting IMF components containing main water level information to perform water level inversion and addition output; and S4, solving h by utilizing spectral analysis: analyzing the IMF component segment containing the water level information by utilizing a Lomb-Scargle algorithm to solve a main frequency f, and converting according to a formula to obtain a required vertical reflection distance h. The GNSS water level inversion model has the advantages of global coverage, no need of manual intervention, economy, effectiveness and simplicity and convenience in maintenance, and is suitable for monitoring tides, rivers, lakes and sea level; the accuracy of water level inversion can be improved, and key water level information is prevented from being lost in traditional denoising.

The invention relates to a weather radar beam shielding rate calculation method based on temporal-spatial resolution improvement, belongs to the field of radio, realizes adaptive precise temporal-spatial matching of meteorological unmanned aerial vehicle sounding data and ECMWF forecast data under different weather echo types, realizes calculation of spatial distance in grids in an expansion field, and improves the weather radar beam shielding rate. The method realizes preliminary extraction of spatial-temporal characteristics, constructs a self-attention mechanism model fused with physical perception, successfully generates a high-spatial-resolution atmospheric temperature, atmospheric relative humidity and atmospheric pressure data set, realizes generation of the high-spatial-temporal-resolution atmospheric temperature, atmospheric relative humidity and atmospheric pressure data set, and improves the spatial-temporal-resolution atmospheric temperature, atmospheric relative humidity and atmospheric pressure data set. Accurate calculation of the beam ray propagation path of the high-temporal-spatial-resolution radar is achieved, calculation of the shielding orientation and the maximum elevation angle of a shielding object in each orientation ray beam block is achieved, finally, a beam shielding power integral calculation model is introduced, and accurate calculation of the weather radar beam shielding rate is successfully achieved.

The purpose of the present disclosure is to effectively eliminate an unnecessary invisible satellite signal when receiving a satellite signal in a fixed and installed state.　In view of the above, the present disclosure provides a reception device for receiving a satellite signal in a fixed state and performing positioning or time synchronization, the reception device having a mask setting unit that estimates the satellite signal as a visible satellite signal when the signal strength of the satellite signal is equal to or greater than a first threshold value and a delay time from a reference value of the reception time of the satellite signal is equal to or less than a second threshold value, and updates a satellite signal reception mask indicating an elevation angle threshold value for each direction on the basis of the position of a first visible satellite signal, which has an elevation angle equal to or less than the elevation angle threshold value in the satellite signal reception mask, among the positions of visible satellite signals in a sky plot at a prescribed time epoch.

The invention is applicable to the technical field of target range target measurement, and provides a post-event target range multi-target trajectory measurement method and system, a storage medium and a processor. Firstly, combined intersection calculation of targets at all moments is completed through azimuth pitch angles of the targets relative to multiple observation stations, three-dimensional position coordinates of the multiple targets at all moments are obtained, dimension raising operation of data to be separated is achieved, and due to the fact that one-dimensional data is additionally introduced, intersection of the target data is greatly reduced, and the trajectory separation difficulty is lowered; meanwhile, an unsupervised learning method, namely a clustering algorithm, is introduced, the algorithm can group the data without any guidance, and the efficiency is extremely high. The afterward target range multi-target trajectory measurement system adopting the method also has the above effects.

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 discloses a terrain-combined weather radar base data dynamic resolution three-dimensional structure reconstruction method, which realizes three-dimensional structure reconstruction through combination of a digital elevation model (DEM) and weather radar base data. The method comprises the steps of cutting DEM topographic data and dumping the DEM topographic data into grid data in a binary form, generating a bitmap as a mapping source, establishing an elevation angle index array based on weather radar base data, establishing an azimuth angle index array based on a conical scanning surface so as to quickly map an angle, determining a rectangular reconstruction area and establishing a three-dimensional grid, traversing the three-dimensional grid to obtain an elevation angle, an azimuth angle and a distance combination array of grid points so as to obtain grid point data, smoothing the grid point data, re-sampling terrain grid data, constructing a terrain grid surface, obtaining a mapping image of the terrain grid surface, and rendering a three-dimensional body; the method has the advantages that the method does not need to depend on online service, and dynamic high-precision three-dimensional structure reconstruction of radar echoes in a specified area can be realized while the interaction performance is ensured.

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 fan vortex-induced wake flow visualization test method and device based on an optical flow method theory, and the method comprises the steps: arranging at least three wireless smoke sprayers along the wall of a fan tower at different heights; acquiring colored smoke spraying images of the wireless smoke sprayers at different heights under various wind conditions by using image acquisition equipment, and synchronously acquiring unit state information at corresponding moments and elevation angle and focal length parameters of the image acquisition equipment; a vortex-induced wake flow visualization model is constructed; constructing a vortex-induced wake flow characteristic model based on an optical flow method; and utilizing the vortex-induced wake flow characteristic model to obtain the wake flow condition when the fan is subjected to vortex-induced. According to the method, colored smoke spraying images of wireless smoke sprayers at different heights under various wind conditions are obtained, a vortex-induced wake flow visual model is generated according to the images, the vortex-induced wake flow visual model is analyzed on the basis of an optical flow method, and a vortex-induced wake flow characteristic model is established, so that the wake flow condition during vortex excitation of the fan is conveniently obtained.

The invention discloses a QPS numerical ray tracing and multi-target optimization-based high-frequency sky-ground wave radar ionosphere electron concentration inversion method, which comprises the following steps of: firstly, carrying out FFT (Fast Fourier Transform) on radar echo data, constructing a radar echo distance-Doppler matrix, and according to the obtained radar echo distance-Doppler matrix, calculating the electron concentration of a high-frequency sky-ground wave radar ionosphere according to the obtained radar echo distance-Doppler matrix; determining an antenna direct wave group distance and a transmitting station-receiving station ground distance; then determining an optimal emission elevation angle by using randomly generated ionosphere parameters; and finally, taking the emission elevation angle data corresponding to the n groups of ionosphere parameters as an initial population, and carrying out iterative optimization on the initial population by utilizing a population optimization algorithm to obtain an optimal ionosphere parameter result, thereby realizing ionosphere electron concentration inversion. According to the scheme, the radar echo data and the randomly generated ionosphere parameters are combined, the amount of data needing to be calculated is remarkably reduced, accurate inversion of the ionosphere parameters is achieved through ray tracing and multi-target optimization, the structure is simpler, the method does not depend on a complex model or a large amount of experience data, and the method is suitable for large-scale popularization and application. The optimal ionosphere parameter can be approached more quickly and effectively, and the real-time performance and accuracy of ionosphere electron concentration inversion are improved.

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 channel atmosphere attenuation prediction method and system, and belongs to the technical field of data information communication. The method comprises the following steps: acquiring original atmosphere data between a ground receiving station and a communication satellite; stripping atmospheric characteristic parameters representing atmospheric characteristic attenuation from different meteorological phenomena, and layering the original atmospheric data according to the atmospheric characteristic parameters to obtain layered atmospheric data; calculating the atmospheric path attenuation of the stratified atmospheric data according to the transmission distance and the ray elevation angle between the ground receiving station and the communication satellite; inputting the stratified atmosphere data into a pre-constructed feature attenuation prediction model, and outputting atmosphere feature attenuation of the stratified atmosphere data; and obtaining a prediction result of total atmospheric attenuation according to the atmospheric characteristic attenuation and the atmospheric path attenuation of the stratified atmospheric data. Atmospheric attenuation in satellite communication can be accurately simulated, the stability and accuracy of signal transmission are improved, and the communication quality is effectively improved.

The invention relates to a low-orbit constellation satellite collection database building and space target orbit forecasting method, and belongs to the field of satellite communication. The method comprises the following steps: firstly, implementing low-orbit constellation satellite collection database construction, including satellite target resource analysis, resource description and resource mining, describing satellite resource individuals to be stored, acquiring multi-dimensional key information, and constructing a comprehensive and accurate low-orbit satellite target resource database; and in combination with a subsequent orbit forecasting algorithm and the parameters of the geographic position, the antenna pitch angle and the beam width of the communication receiving and transmitting end, the quantity and distribution of satellites in the beam intersection area of the receiving and transmitting end are obtained by using the forecasting model, and satellite resources are mined in a resource library. And predicting a satellite orbit by using the SGP4 orbit prediction model, obtaining the instantaneous position and speed of the satellite in-orbit operation, comparing the result of the orbit prediction model with the STK software simulation result, and verifying the prediction model. Technical guarantee is provided for efficient management and utilization of cooperative and non-cooperative giant low-orbit constellations in a complex space environment.

The invention discloses a regional prediction method for a wind power coefficient of a large reflecting surface based on a neural network. The method comprises the following steps: generating a wind power cloud picture according to resistance, lateral force and lift force of an antenna reflecting surface corresponding to a pitching angle and an azimuth angle under different working conditions; the method comprises the following steps: importing a wind power cloud picture into MATLAB: dividing an antenna reflecting surface according to the central symmetry and central stiffness distribution characteristics of the antenna reflecting surface to obtain circular ring partitions; dividing the wind power cloud picture of the near area of the antenna reflecting surface along the Z-axis direction of the YOZ plane according to the wind speed gradient to obtain Z-axis partitions; calculating a wind power coefficient of a region determined by the Z-axis partition and the circular ring partition; inputting the pitching angle and the azimuth angle under different working conditions and the wind power coefficient of each area as training data into a prediction network for training to obtain a trained prediction network; and inputting the pitching angle and the azimuth angle to be tested under different working conditions into the trained prediction network, and outputting the predicted wind power coefficient of the reflecting surface. The precision of wind power analysis is improved.

The invention relates to the technical field of interference reflection remote sensing, in particular to a tide level monitoring method and device, electronic equipment, a storage medium and a program product. The method comprises the following steps: acquiring SNR data of a low elevation angle of a reflection region on a sea surface; carrying out atmospheric refraction correction and trend term removal operation on the data to obtain a high-frequency component of the data; performing wavelet transformation on the high-frequency component to obtain an instantaneous frequency time sequence and a peak power time sequence at different moments, screening the instantaneous frequency time sequence and the peak power time sequence respectively, and finally performing average value calculation on frequency screening results to obtain a main frequency of the high-frequency component; the antenna height is calculated based on the dominant frequency to obtain an initial tide level sequence, the initial tide level sequence is decomposed into an astronomical tide sequence and a residual water level sequence which are arranged at equal intervals through quasi-tide harmonic analysis, and the astronomical tide sequence is corrected through local weighted linear regression to obtain a final tide level sequence. Therefore, the problem that the precision of a tide level monitoring result obtained in the prior art is low is solved.

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.

A system and method to receive correlated input signals from targets from antennas in a linear or planar antenna array, receive coarse estimations of azimuth and / or elevation angles for the targets, apply a semi-randomized signal permutation and reference selection algorithm to the correlated input signals to construct a virtual array information matrix (VAIM) by shifting a reference point of each of the correlated input signals in a different manner from one another to separate the correlated input signals from one another in a signal space in the VAIM, and filter the VAIM to independently extract information of the coarse estimations from the VAIM for each specific azimuth angle or elevation angle to transform the VAIM to provide filtered output signals corresponding, respectively, to filtered versions of each of the coarse estimations of the at least one of azimuth angles and elevation angles for each of the targets.

A GNSS-TEC projection function estimation method with additional azimuth angle parameters comprises the following steps: obtaining observation data of a plurality of GNSS monitoring stations, and then extracting STEC from the observation data; the IPP point position with the satellite elevation angle larger than 70 degrees and the IPP point position with the satellite elevation angle smaller than 40 degrees are obtained respectively, and then satellites with the satellite elevation angle larger than 70 degrees and satellites with the satellite elevation angle smaller than 40 degrees located at the same IPP point position at the same moment are matched; projecting the STEC of the IPP point position of which the satellite elevation angle is greater than 70 degrees to the zenith direction to obtain a VTEC, and then calculating the STEC projection function value MFV of the IPP point position of which the satellite elevation angle is less than 40 degrees according to the corresponding VTEC; and obtaining an ionosphere projection conversion model, and solving to obtain a to-be-estimated coefficient of the projection function model of the additional azimuth angle parameter. According to the method, the TEC projection conversion error of the ionized layer is relatively small under the condition of a low satellite elevation angle.

The invention relates to a radar antenna arrangement (1) for a vehicle (2), comprising at least one vehicle component (3), wherein the radar antenna arrangement (1) comprises a plurality of radar devices (4) which are configured to transmit and / or receive a radar beam (12). The radar devices (4) are arranged on a component surface (5) of the vehicle component (3). The invention provides for the radar antenna arrangement (1) to comprise at least one antenna row (6) for determining an azimuthal angle (10) of the radar beam (12), said antenna row comprising a plurality of the radar devices (4). Directly adjacent radar devices (4) have respective horizontal distances (8) from one another. The radar antenna arrangement (1) comprises at least one antenna column (7) for determining an elevation angle (11) of the radar beam (12), said antenna column comprising a plurality of the radar devices (4). Directly adjacent radar devices (4) have respective vertical distances (9) from one another. The at least one antenna row (6) and the at least one antenna column (7) include an angle α of between 5 degrees and 180 degrees.