204 results about "Radar measurement" patented technology

The invention discloses a geological disaster risk intelligent pre-judgment method based on deep learning, and relates to the technical field of geological disaster monitoring and early warning. According to the method, high-precision alignment and feature extraction can be automatically performed on monitoring data with different temporal-spatial resolutions and different physical meanings, such as optical remote sensing, radar measurement, laser point cloud and the like, uniform and information-rich representations are generated, a solid data foundation is laid for subsequent accurate prediction, and the limitation of data splitting application in a traditional method is overcome; a space-time diagram with slope units as nodes is constructed, an attention mechanism diagram convolutional network with hydrological directivity introduced is utilized, and the model can accurately describe the spatial propagation process that slope substances migrate and accumulate along with a confluence path and block a river channel under the rainfall condition; meanwhile, the time sequence module effectively learns the influence of the past hydrological state on the future evolution trend.

The invention discloses a fan blade clearance intelligent monitoring method based on multi-modal fusion. A laser radar and a visual sensor are adopted to collect point cloud data and image data of the fan blade; environment parameters are collected, validity judgment is conducted on the point cloud data and the image data of the fan blade according to the environment parameters, and radar monitoring data and visual monitoring data are obtained; modeling the fan blade according to the radar monitoring data to obtain a three-dimensional model of the fan blade, and further obtaining a radar measurement value of the blade clearance according to the three-dimensional model of the fan blade; performing image segmentation, edge extraction and depth estimation on the visual monitoring data in sequence to obtain a visual measurement value of the blade clearance; and the radar measurement value and the vision measurement value of the blade clearance are combined, and a multi-modal fusion algorithm is adopted for processing to obtain the fusion clearance distance of the fan blade. The accuracy and real-time performance of fan blade clearance monitoring are remarkably improved, blade collision accidents can be effectively prevented, and reliable guarantee is provided for safe operation of a wind turbine generator.

The utility model provides a multi-laser radar fusion ship loader non-blind area measuring system, which relates to the field of laser radar measurement and comprises a ship body, a multi-laser radar fusion measuring device, a ship loader and a mechanical arm. The mechanical arm clamps the upper end of the multi-laser radar fusion measurement device; the mechanical arm is movably arranged on the ship loader, the moving route of the mechanical arm is from the bow to the stern of the ship body, and the mechanical arm is always located on the center line above the ship body. According to the utility model, the two long-distance laser radars are longitudinally installed, the high-precision holder is equipped, and the holder rotates at a low speed and at a small angle, so that dynamic splicing of scanning data is realized, accurate point cloud data can be rapidly obtained in a short time, data acquisition efficiency and precision are greatly improved, and the system is suitable for large-scale popularization and application. Through the installation of two long-distance radars and the cooperation of the other two short-distance radars, the non-blind area type measurement of the ship body is realized.

The invention discloses a laser radar-assisted wind power generation wind shear modeling method, and relates to the technical field of wind shear modeling, and the method comprises the steps: collecting the wind speed measurement data of a laser radar at a plurality of heights in a target fan region, and constructing a measurement volume integral operator matrix; constructing a unit induction field correction model based on large eddy simulation in combination with a gradient boosting tree; coupling the measurement volume integral operator with the unit induction field correction model, and obtaining a high-precision wind speed vertical section and a corresponding wind shear parameter through inversion; on the basis of the high-precision wind speed vertical section and the corresponding wind shear parameters, physical constraints are fused, a wind shear model is generated, and uncertainty evaluation is carried out; according to the wind shear modeling method, the problems that the measurement error of the laser radar is difficult to correct, the wind shear modeling lacks the physical constraint and the result credibility cannot be quantified are solved by constructing the volume measurement integral operator and the unit induction field correction model for coupling inversion and fusing the physical constraint and the Bayesian uncertainty evaluation method.

The invention discloses a visibility inversion method and device of a laser radar, equipment and a storage medium, and relates to the technical field of laser, and the method comprises the steps: determining a detection range boundary based on a laser radar voltage value and a preset threshold value; synchronously measuring the visibility in a segmented manner by using a ground single-point measurement visibility meter and a laser radar visibility meter, and performing inversion to obtain a function value; constructing a joint relation model by combining a laser radar equation according to the average error of the function value and the radar measurement signal, and generating a parameter mapping relation lookup table; acquiring signal intensity by means of a near-field visibility measuring device, and determining a target laser radar ratio and an extinction coefficient through the look-up table; and finally, resolving an extinction coefficient profile and inverting a visibility profile by adopting a Fernald inversion algorithm in combination with the laser echo signal path, the target extinction coefficient and the laser radar ratio. The efficiency of laser radar visibility inversion is improved.

The invention discloses a radar measurement method, device and equipment, a medium and a product, and relates to the technical field of radar signal processing. According to the method, a space angle is divided into a main lobe area and a side lobe area; determining a phase modulation strategy of twice observation of the radar; the phase modulation strategy comprises the steps that phases of a main lobe area are kept consistent in two observations, and the phase difference of a side lobe area is 180 degrees; according to a phase modulation strategy, determining a directional diagram of expected radiation of the array antenna in two times of observation, and optimizing a unit excitation weighting vector in two times of observation to obtain an optimized value of the unit excitation weighting vector; according to the optimization value, performing phase modulation on a transmitting signal of the array antenna; and coherent superposition is carried out on echo signals reflected by the target and received by the radar in two times of observation. On the premise that the array size is not changed, the anti-interference capability and the spatial resolution of the radar are remarkably improved, and the monitoring precision of the radar on parameters such as distance, speed, deformation and angle is effectively improved.

Disclosed are embodiments for determining the position and speed of a projectile in three-dimensional world coordinates using a single camera and radar. In some embodiments, a method comprises: determining a zero radial speed time of the projectile based on radar measurements of the projectile; determining a radial speed of the projectile at a particular time based on the radar measurements; determining a radial speed slope at the particular time based on the radial speed measurements; determining a two-dimensional image point of the projectile at the particular time; determining a depth scale coefficient at the particular time based on the zero radial speed time, the radial speed, the radial speed slope, the image point, and a homographic transformation; and determining a position of the projectile in space at the particular time based on a three-dimensional position of the camera, the depth scale coefficient, the image point and the homographic transformation.

This disclosure provides systems, devices, apparatus, and methods, including computer programs encoded on storage media, for bistatic radar assistance sensing. A radar-receiver receives (210), from a radar-transmitter, a configuration message that configures the radar-receiver to assist the radar-transmitter with bistatic radar sensing. The radar-receiver receives (214) a reflection of the radar signal. Responsive to the receiving the reflection of the radar signal, the radar-receiver transmits (218), to the radar-transmitter, a radar measurement report message. The radar-receiver receives (202), from the radar-transmitter, a radar capability enquiry. The radar-eceiver transmits (204), to the radar-transmitter in response to the radar capability enquiry, a radar capability response that indicates radar capabilities supported by the radar-receiver for the bistatic radar sensing.

In a method for determining a posture of a human being, in particular for fall prevention, measurement data is obtained from at least two dimensional radar measurements of a radar system. The measurement data is processed to obtain at least two dimensional point cloud data, in particular three dimensional point cloud data, wherein a position and local data is assigned to each of the points of the point cloud data. The point cloud data is clustered to obtain clustered data representing the human being by a plurality of clusters, and the clusters are tracked over time to define a plurality of objects. Body parts of the human being and positional relationships among them are identified based on the plurality of objects, wherein the identified body parts comprise the head and / or limbs, and the positional relationships are analyzed to determine the posture of the human being.

A cascadable radar element for use in a radar measuring device for carrying out a digital beam transformation process, having at least one transmitting antenna and at least one receiving antenna which are integrated in the radar element, as well as an input connection and an output connection for local oscillator signals.

The invention relates to a target positioning method based on radar photoelectric linkage guidance, and belongs to the technical field of edge-sea-air defense three-dimensional management and control of multi-source sensor fusion. According to the method, a dynamic calibration mechanism is provided, a real-time timestamp alignment and navigational speed calibration algorithm is introduced on the basis of traditional calibration, and radar measurement errors and coordinate conversion errors are effectively weakened; through an SAMURAI tracking algorithm of improved Kalman filtering, stable target tracking under shielding, appearance change and similar target interference is realized, and identity and position consistency is kept; the three-dimensional-to-two-dimensional projection conversion is adopted, the calculation precision of the pitch angle and the azimuth angle is improved, and the influence of radar latitude and longitude errors is reduced. Compared with an existing method, the method has the advantages that the precision and stability of joint positioning of the perimeter target in a complex environment are remarkably improved, the problem of target tracking jump is effectively solved, and the method has wide application prospects in scenes such as boundary security and protection and marine monitoring.

Embodiments of the present application provide a data processing method, device and equipment, the method comprising: obtaining a sequence set, the sequence set comprising a plurality of sequences, there being at least one first sequence among the plurality of sequences, the self ambiguity function of each first sequence being a thumbtack shape, the sidelobe energy of the cross ambiguity function between each first sequence and other sequences in the sequence set being less than a first threshold; transmitting a signal according to the sequences in the sequence set, the signal being used for speed measurement and / or distance measurement. The accuracy of radar measurement is improved.

The application provides a wind field measurement method and system based on a wave glider laser wind radar, comprising: measuring a wind field radial velocity based on a laser wind radar carried on a wave glider platform, measuring attitude data by an IMU, and measuring speed data by a GPS; obtaining an installation external parameter of an optical axis of the laser wind radar relative to a ship body of the wave glider platform through installation calibration; fusing and solving the attitude data measured by the IMU and the speed data measured by the GPS to obtain attitude angles and motion parameters of the wave glider platform; performing attitude compensation on the wind field radial velocity according to the attitude angles and the installation external parameter to obtain a real measurement direction, and performing motion compensation on the wind field radial velocity in the real measurement direction according to the motion parameters; performing vector inversion and height mapping on the wind field radial velocity after the motion compensation to obtain a wind profile. The application realizes high-precision measurement of an air wind field above a sea surface to a height of 2 km.

The application provides a method and system for spatial calibration of a radar device. The method comprises: obtaining an image and radar measurement data at the same time, the radar measurement data comprising radar coordinates of a plurality of landmark points in a geographic region; obtaining geographic coordinates of the landmark points recorded in the image according to pixel coordinates of the landmark points recorded in the image; determining at least two landmark point matching pairs, each landmark point matching pair comprising a geographic coordinate of a landmark point and a radar coordinate of the landmark point; and obtaining a calibration relationship between the radar measurement data and the geographic region according to the at least two landmark point matching pairs. The method can improve the accuracy and efficiency of spatial calibration.

The application provides a 3D radar measurement system capable of extending communication, comprising at least one communication branch; each communication branch comprises a first data transmission medium and at least one radar body; the radar body is used for generating measurement data; the measurement data is transmitted to a data communication relay module through the first data transmission medium and is transmitted to a central control end by the data communication relay module; for each radar body of any communication branch, when the distance of the first data transmission medium laid between the radar body and the data communication relay module or the central control end exceeds or approaches the limit distance of normal communication transmission of the first data transmission medium, at least one communication expansion module is laid between the corresponding radar body and the data communication relay module or the central control end. The application can optimize the wiring configuration of the measurement system, reduce the overall wiring cost of the measurement system, and make the measurement system have communication scalability, which is helpful to realize stable communication of the measurement system.

The invention belongs to the technical field of radars, and particularly relates to an airborne radar antenna installation angle error calibration method and device, and the method comprises the steps: S1, measuring the center position of an airborne radar antenna array plane and the actual positions of all calibration sources in a far field; s2, obtaining azimuth angles and pitch angles of all calibration sources measured by the radar; s3, radar antenna mounting angles are calculated according to the measured azimuth angles and pitch angles of all the calibration sources, the actual positions of all the calibration sources and the center position of the radar antenna array plane, wherein the radar antenna mounting angles comprise the azimuth mounting angle, the pitch mounting angle and the roll mounting angle; and S4, subtracting the design value from the calculated radar antenna installation angle to obtain an installation angle error, wherein the installation angle error comprises an azimuth installation angle error, a pitching installation angle error and a roll installation angle error. The target angle measurement precision of the radar is improved.

The invention discloses a radar liquid level calibration, calibration, compensation and blind area mapping method and system based on a baffle plate, and belongs to the technical field of liquid level measurement. The method comprises the following steps of: firstly, performing interval calibration on a radar measurement value according to a real distance between baffle plates under an empty tank condition, and determining a zero point by taking the first baffle plate as a reference; secondly, under the conditions of normal temperature and normal pressure, the positions of the shielding plates are calibrated by combining a sine dip angle error generated by the fact that a wave guide tube is not parallel to the wave beam direction, and calibration parameters are obtained; thirdly, under the actual working condition, according to the corresponding relation between the measured value and the actual value of the known waveguide section above the liquid level, deducing the actual propagation speed of the electromagnetic wave in the gas, and compensating the liquid level measurement result according to the actual propagation speed; finally, by means of the coupling relation between the shielding plate below the liquid level and the liquid level, the mapping of the liquid level blind area is achieved by analyzing the proportional relation generated by the measurement value of the shielding plate along with the change of the liquid level. The precision and reliability of radar liquid level measurement can be effectively improved under the complex working condition, and the measurement defect caused by a blind area is overcome.

The application discloses a kind of ground and satellite-borne measurement precipitation data fusion algorithm under bayesian framework, comprising the following steps: selecting time and space matching satellite-borne measurement precipitation and ground radar measurement precipitation data, when matching, set certain space window and time window, time window is within ±6min with the time difference that ground radar starts once body scanning time that satellite-borne measurement sweeps matching space window, space window is the region that with ground radar as center, the circular region of r radius and the region that satellite-borne radar survey strip is intersected, the ground and satellite-borne measurement precipitation data fusion algorithm under bayesian framework of the application, based on hierarchical bayesian method, the fusion of ground radar and satellite-borne measurement precipitation data, improve satellite-borne measurement instantaneous precipitation precision, obtain the high-precision, high-resolution precipitation estimation result of comprehensive multi-source precipitation observation, and can quantitatively give the uncertainty size that fusion result contains, to better be applied to hydrological model.

The application relates to a kind of millimeter wave radar multi-vehicle tracking methods based on traffic scene, comprising: the original echo data of millimeter wave radar is preprocessed, and a plurality of frames of point cloud data are obtained;Each frame of point cloud data is clustered using a hierarchical clustering algorithm based on target information;Rectangular association wave door is set in combination with standard lane width and safe following distance, and the rectangular association wave door is corrected according to the historical information obtained by target tracking;All target centroid points in the corrected rectangular association wave door are fused according to probability;The existing track associated with the equivalent centroid point and the existing track not associated with the equivalent centroid point are updated, and a plurality of updated tracks are obtained;For the target centroid point not assigned to the existing track, the logical method is used for track initiation, and a plurality of stable starting tracks are obtained;The target tracking track is obtained by managing the track. The method combines the characteristics of radar measurement distribution and motion mode of vehicle target, and realizes the robust tracking of multi-vehicle target.

The invention discloses a camping security method and system, terminal equipment and a storage medium, and belongs to the field of camping security, and the method comprises the steps: obtaining a candidate monitoring radar data set of a camping security monitoring area; determining target monitoring radar data from the candidate monitoring radar data set; determining target monitoring camera data based on the target monitoring radar data and the radar-camera mapping relation; obtaining a monitoring radar measurement value based on a radar conversion algorithm and the target monitoring radar data; obtaining a monitoring camera measurement value based on a camera conversion algorithm and the target monitoring camera data; obtaining a joint monitoring observation value based on the monitoring radar measurement value and the monitoring camera measurement value; obtaining target fusion pose data based on a monitoring data filtering updating algorithm and the combined monitoring observation value; and obtaining an environmental risk score of the camping security monitoring area based on the target fusion pose data and an environmental risk scoring algorithm, and carrying out alarm processing based on the environmental risk score. Therefore, the camping security reliability is improved.

A method for determining target object extent data (40), which characterizes at least one spatial extent of at least one target object detected in at least one radar measurement with at least one radar system, a method for determining at least one point cloud (34), a method for determining a model (52) by machine learning, a radar system, and a model (52) are described. In the method for determining target object extent data (40), at least one model (52) determined by machine learning is executed. At least a portion of the raw radar data (50) acquired in at least one radar measurement is fed to at least one model (52) determined by machine learning, and corresponding target object extent data (40) are determined by the at least one model (52) based on the fed radar raw data (50).

In an example implementation, a method includes populating a training dataset for training a machine-learning model to provide estimations associated with at least one object by obtaining a predetermined input sample comprising one or more sets of time-resolved values for one or more observables of the at least one object, generating a further input sample based on the predetermined input sample by applying a transformation over a time interval of at least one of the one or more sets of the time-resolved values of the predetermined input sample, and adding the further input sample to the training dataset to provide an augmented training dataset.

In accordance with an embodiment, a computer-implemented method includes obtaining a time sequence of measurement frames of a radar measurement of a scene comprising an object; based on multiple subsequent measurement frames of the time sequence of measurement frames, determining one or more one-dimensional (1-D) time series of respective observables of the radar measurement associated with the object; and based on the one or more 1-D time series, determining a motion class of a motion performed by the object using a classification algorithm.

The invention discloses an image scale reconstruction method and a related device, and the method comprises the steps: carrying out the timestamp matching of a camera and a millimeter-wave radar, obtaining a radar-image matching frame pair, carrying out the monocular depth estimation of an image frame, obtaining a depth map, and carrying out the calculation of the depth map according to the external parameters from the millimeter-wave radar to the camera; transforming radar point cloud in the radar-image matching frame into a camera coordinate system to obtain target radar point cloud, performing perspective projection according to internal reference of a camera, mapping to an image plane, performing ratio operation on a physical depth value detected by the millimeter wave radar and a relative depth value in a depth map to obtain a scale factor, and performing calculation on the scale factor; and determining a scale factor median from all scale factors corresponding to the current image frame as a scale reference value of the current image frame. The millimeter-wave radar and the camera are introduced to work cooperatively, physical distance information measured by the radar is mapped to an image plane through timestamp synchronization, and the actual distance between an object in an image and the camera is determined by combining the advantages of the millimeter-wave radar.

The invention discloses a dynamics-assisted laser inertial positioning method for an unmanned vehicle, and belongs to the technical field of intelligent multi-source autonomous navigation. The method comprises the following steps: carrying out clock synchronization on a laser radar, an IMU and an unmanned vehicle dynamics model; carrying out state estimation on the laser-inertial subsystem by adopting iterative error state Kalman filtering; scene degradation is detected in real time by calculating characteristic values of a laser radar measurement matrix; when degradation occurs, dynamic model data are introduced, a dynamic-inertia subsystem is constructed, and the dynamic-inertia subsystem and a laser-inertia subsystem are alternately subjected to state fusion; and finally, constructing the incremental point cloud map based on the optimal estimation result. According to the method, the kinetic model of the unmanned vehicle is used as an internal auxiliary information source, the problem of positioning drift of the laser radar in feature degradation scenes such as tunnels and underground parking lots is effectively solved on the premise of not increasing extra hardware cost, and the robustness, environmental adaptability and overall reliability of a positioning system are remarkably improved.

The invention discloses an insect flapping frequency inversion method based on initial phase calculation, and relates to the technical field of radar measurement. The method comprises the following steps: establishing an insect flapping motion radar echo model containing an amplitude initial phase and a phase initial phase, and obtaining a micro-motion signal from collected insect echoes based on the insect flapping motion radar echo model to generate a micro-Doppler spectrogram; based on the micro-Doppler spectrogram, calculating an initial phase value of the phase of the insect flapping wing, and based on the initial phase value, constructing a phase compensation factor to obtain a flapping wing parameter plane; and detecting an energy peak value in the flapping parameter plane based on the phase compensation factor, and determining the flapping frequency of the insect based on the position of the energy peak value. According to the method, the phase initial phase and the amplitude initial phase are introduced, the double physical processes of wing movement and body micro movement during insect flapping are restored, a radar echo model is highly matched with a real signal generation mechanism, errors are reduced, and the anti-interference capability is improved.

The present disclosure relates to a method and an extrusion line in which an additive content, in particular, a carbon black content, can be determined inline during extrusion of an extrusion product. For this purpose, an initial measurement is carried out in which a layer thickness and a refractive index of the extrusion product are determined, whereupon a continuous in-line measurement of the current additive content is carried out by a stationary radar measuring device. Thus, the layer thickness is set and the additive content is determined directly by the radar measuring device and controlled by setting the additive feed rate, in particular as a close-loop control.

The invention relates to the technical field of radar remote sensing measurement, in particular to a method and a system for measuring snow thickness by using a dual-carrier-frequency interference radar. The method comprises the following steps: generating a linear frequency modulation signal, respectively modulating the linear frequency modulation signal to a first carrier frequency channel and a second carrier frequency channel, and synchronously transmitting the linear frequency modulation signal to a snow area; synchronously receiving echo signals of the two channels, and respectively carrying out carrier frequency removal and dechirp processing on the echo signals of the two channels to obtain baseband echo signals of the two channels; respectively converting the baseband echo signals of the two channels into a frequency domain, executing high-order phase removal processing, and then converting the baseband echo signals back to a time domain to obtain high-order phase removal time domain echo signals of the two channels; performing interference operation on the high-order phase removed time domain echo signals of the two channels to obtain an interference baseband signal between the two channels; and carrying out distance compression on the interference baseband signal to obtain an echo frequency spectrum and then carrying out parameter estimation so as to output a measurement result of the snow thickness corresponding to the distance difference between the snow surface and the underlying interface.

The application discloses a cross-section flow velocity distribution inversion method based on river surface flow velocity, which comprises the following steps: grid segmentation is performed on the river cross-section, and each grid point is divided into an inner region and an outer region; the eddy viscosity of the outer region is calculated, and the flow velocity at the boundary point between the inner region and the outer region is obtained according to the calculated eddy viscosity of the outer region and the radar measured surface flow velocity distribution; the flow velocity of each inner region grid point is calculated according to the flow velocity at the boundary point between the inner region and the outer region; the flow velocity of each outer region grid point is calculated according to the radar measured surface flow velocity distribution and the flow velocity at the boundary point between the inner region and the outer region; and the inverted flow velocity of each inner region grid point, the flow velocity at the boundary point between the inner region and the outer region, the flow velocity of each outer region grid point and the radar measured surface flow velocity are combined to obtain the cross-section flow velocity distribution. The application analyzes the difference and connection between the inner region flow velocity distribution and the outer region flow velocity distribution, and inverses the inner region flow velocity distribution and the outer region flow velocity distribution by using the logarithmic deficit law and the RANS equation respectively, so that the cross-section flow velocity distribution of the river is obtained.

The application discloses a kind of highway survey radar measurement systems based on electromagnetic wave, through quantum magnetic force gradient tensor analysis and space coordinate calibration, synthetic aperture radar echo feature extraction module cooperation, using quantum magnetic force navigation model and synthetic aperture radar algorithm, realize multi-source data space-time registration and weighted fusion, construct highway geology layered model and inversion geological parameter, after grid processing of fusion data, generate three-dimensional visual model.The system overcomes the defects of traditional technology multi-source data fusion deficiency and low precision of geological parameter inversion, improves the precision, efficiency and reliability of highway survey, provides accurate geological information and visual survey results for highway engineering design and construction, has important application value in the field of highway survey.