340 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 sparse cloth double-array element multi-frequency ambiguity resolution interference angle measurement method and system, relates to the technical field of radar measurement, realizes design of a multi-frequency signal frequency selection criterion, and further realizes non-ambiguity and high-precision angle measurement of all angles in an angle range required by engineering. According to the technical scheme, a physical baseline length and a reference frequency are set according to a layout space; deriving a plurality of signal carrier frequency design criteria according to the Chinese remainder theorem; calculating the carrier phase difference of the double-array-element receiving signals under different signal carrier frequencies; and reconstructing the congruence equation set, and solving the congruence equation set to solve ambiguity so as to obtain a target angle estimation value.

Techniques are disclosed to build a map for an area around at least a route traversed by a moving platform. An integrated navigation solution for a device within the moving platform is generated using motion sensor data obtained from a sensor assembly of the device and absolute navigational information for the platform. The integrated navigation solution is then used to project radar measurements obtained from at least one radar of the platform onto the area so that the map is built using the projected radar measurements.

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.

A design method of a trust region satellite-borne dual-base interference SAR system is provided, relating to the field of radar measurement. Firstly, error sources of the interference SAR system are classified and analyzed, phase errors caused by image decoherence are calculated according to wave positions, and an analytical expression of baseline-related errors is reserved; a maximum phase error caused by imaging processing and an electronic device are estimated; and a baseline error is estimated. Then, the phase errors and the baseline errors are converted into elevation errors through an elevation fuzzy number, thereby obtaining an analytical expression of the elevation errors and the baseline parameters (length and dip angle). With a relative height measurement accuracy index of the system as an optimization object, a feasible solution interval between the baseline length and the baseline dip angle of the system is solved through a trust region algorithm. A minimum value of the baseline length is corrected according to a flying-around safety distance of a dual-satellite formation. According to the method of the present disclosure, the design of the satellite-borne dual-base interference SAR system can be guided, so that the satellite-borne dual-base interference SAR system is ensured to carry out terrain elevation surveying and mapping tasks with high accuracy and high reliability.

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 slope monitoring data calibration and three-dimensional point cloud matching method, belongs to the field of monitoring data calibration, and aims to improve orientation errors caused by the fact that global satellite positioning and navigation system measurement endpoint errors and equipment length problems are not fully considered in existing slope radar measurement. The method solves the problem of position deviation of a monitoring result caused by the fact that the position of a deformation area is monitored, breaks through the limitation of insufficient precision when a traditional radar image is converted into geographic space coordinates, improves the accuracy and reliability of data, remarkably improves the position precision of slope radar monitoring data, and enables the position monitoring of the deformation area to be more accurate. The high-precision requirement of slope stability monitoring is met, reliable data support is provided for fine monitoring of slope stability, potential safety hazards can be found in time, and corresponding measures can be taken.

The invention discloses a radar target tracking method based on transport mapping, which adopts a pulse-by-pulse estimation strategy and comprises the steps of initial construction, initial particle generation and pulse-by-pulse updating. A target transfer equation and a radar measurement equation are initially constructed, and an equal-weight particle set is generated to represent initial probability distribution. And at each pulse moment, predicting a target state by using a transfer equation, calculating a measurement predicted value, carrying out downsampling on a high-dimensional measurement signal and the predicted value, constructing transport mapping and updating particles based on state prediction and downsampling data to obtain a posterior state set, and finally solving an average output target state estimated value. The method solves the problem of calculation complexity of particle degradation and high-dimensional measurement data processing in an existing method, improves the target state estimation precision and tracking efficiency, and is especially suitable for a complex nonlinear and high-noise environment. According to the method, high-dimensional measurement data and multi-modal distribution can be processed, particle degradation is avoided, real-time performance and robustness are enhanced, and the method has important application value.

Techniques are disclosed to build a map for an area around a route traversed by a moving platform. An integrated navigation solution based at least in part on obtained motion sensor data for a device within the moving platform is used to build an online map during a first instance of time for the area using perception sensor data, such as, for example, radar measurements and / or optical samples. The integrated navigation solution may then be revised in a second instance of time with a nonlinear state estimation technique that uses a nonlinear measurement model for perception sensor data, wherein integrating the motion sensor data and perception sensor data in the nonlinear state estimation technique is tightly-coupled. Generating the revised integrated navigation solution in this tightly coupled technique includes using the motion sensor data with the nonlinear state estimation technique and integrating the perception sensor data directly by updating the nonlinear state estimation technique using the nonlinear measurement models and the online map information.

A radar measurement method and an apparatus are disclosed, which relate to the field of communications technologies, and are used to support radar measurement in a wireless local area network (WLAN). The method includes: An access point (AP) generates a first frame, where the first frame includes radar measurement information. Then the AP sends the first frame to M stations (STAs), to configure the way the M STAs perform radar measurement. This application is applicable to a radar measurement procedure.

The invention discloses a tight coupling laser inertial vision fusion method based on a merged probability voxel map, and relates to the technical field of vision fusion. Comprising the steps of performing display parametric modeling based on radar measurement noise, and constructing a probability voxel plane model; combining the planes which may have a coplanar relationship, and adding the laser radar point clouds in the determined effective voxel planes into a global map; projecting the global map into an image frame to obtain a tracking point, tracking by using an LK optical flow method, and meanwhile, further eliminating an abnormal point by using a random sampling consensus algorithm based on a dynamic Bayesian network; and based on image information acquired by the camera, optimizing and maintaining the global map by minimizing frame-to-frame pixel errors and frame-to-map color errors and updating the global map. According to the method, the performance of the laser inertial visual odometer is improved by combining a framework of efficient coupling radar, IMU and camera information of the probability voxel map.

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.

The invention relates to the field of radar detection, in particular to an unmanned aerial vehicle radar cross-sectional area full-angle measurement method, which comprises the following steps of: measuring the radar cross-sectional area of a to-be-measured unmanned aerial vehicle by using an unmanned aerial vehicle with radar equipment as a measuring device; the measuring device and the to-be-measured unmanned aerial vehicle are lifted to a preset height, and the measuring device points the antenna beam direction of the radar equipment to the to-be-measured unmanned aerial vehicle; recording radar output signal power under each group of attitude angles when the to-be-measured unmanned aerial vehicle flies to a specified position with a radar distance R from the measuring device; acquiring position information and attitude angle information of the measuring device and the to-be-measured unmanned aerial vehicle; and aligning the output signal power measured by the radar with the attitude angle of the to-be-measured unmanned aerial vehicle in time, and calculating the radar scattering cross-sectional area at each attitude angle to realize the full-angle measurement of the radar scattering cross-sectional area of the unmanned aerial vehicle. According to the method, the radar cross-sectional area of the unmanned aerial vehicle can be measured at a low altitude, interference of ground clutters on the radar is avoided, and the method is not limited by a measurement space.

The invention relates to the technical field of weather radars, in particular to a method and a device for monitoring key parameters of a weather radar on line by using the sun. By using the sun signal as a stable reference target object, tiny performance change of key parameters in a radar system can be monitored and corrected, so that whether the radar performance is abnormal or not can be identified in time, a worker is guided to calibrate the weather radar in time, the accuracy of measured data of the radar is ensured, and the working efficiency is improved. And the influence of system performance reduction on data quality is avoided. In addition, the key parameter change in the radar system monitored by the embodiment of the invention can also provide reference for manual calibration, and the calibration accuracy is improved.

The invention provides a raindrop spectrum inversion model construction method and device, electronic equipment and a storage medium, and belongs to the technical field of signal processing, and the method comprises the steps: carrying out the model training of a plurality of base learners through part of model training data in a training data set; and fusing all the base learners after model training according to a preset integration strategy, constructing a raindrop spectrum inversion model, and verifying the constructed raindrop spectrum inversion model by using test set data. The invention provides a raindrop spectrum inversion model construction method and device, electronic equipment and a storage medium, and the method comprises the steps: taking a raindrop spectrum true value collected by a laser raindrop spectrometer as a label, taking a radar measurement parameter generated through T matrix scattering simulation as a sample to train a plurality of base learners, and carrying out the fusion according to a preset integration strategy, thereby obtaining a raindrop spectrum inversion model. And a data-driven raindrop spectrum inversion model is constructed, so that the accuracy and robustness of raindrop spectrum inversion are improved, and reliable support is provided for cloud precipitation microphysical research.

A camera measurement module is configured to determine first measurements of an occupant of a seat based on an image captured using a camera within the passenger cabin of the vehicle. A radar measurement module is configured to determine second measurements of the occupant of the seat within the passenger cabin of the vehicle based on radar signals from a radar sensor, A measurement module is configured to determine third measurements of the occupant of the seat within the passenger cabin based on at least one of: the first measurements of the occupant of the seat; and the second measurements of the occupant of the seat. An actuator control module is configured to selectively actuate an actuator of a restraint associated with the seat based on the one or more third measurements of the occupant of the seat.

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.

The invention relates to the technical field of radar measurement, and discloses a millimeter wave radar-based heart rate high-precision measurement method and system, and the method comprises the steps: searching a thoracic cavity target through a frequency modulation continuous wave radar, positioning a heart position, and extracting a complex signal corresponding to the heart motion; performing calculation of different dimensions on the complex signal, and obtaining a preliminary heart rate value through mutual verification of calculation results; through a three-level verification mechanism of motion interference elimination, clutter interference elimination and breathing harmonic interference elimination, confidence degree checking is conducted on the initial heart rate value, and a high-reliability result is reserved; based on a high-reliability result of the preliminary heart rate value, data in the recent preset time period are calculated with higher precision, and the final heart rate value is output, so that the accuracy rate of radar measurement of the heart rate can be greatly improved, meanwhile, multiple interferences are effectively inhibited, low-cost hardware is adapted, the applicability to broad-spectrum crowds and complex scenes is enhanced, only the high-reliability heart rate value is output, and the method is suitable for popularization and application. And the heart rate instantaneous change is dynamically responded.

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.

Radar measuring device for process automation in industrial or private environments, with a control unit for calculating an average transmission power of a radar measurement signal to be emitted during a measurement interval and dividing the measurement interval into several consecutive partial measurement intervals if the calculated average transmission power is greater than the preset threshold power.

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.

This invention provides a dual-station radar collaborative positioning method and system. This positioning algorithm uses a three-dimensional spatial structure to describe the spatial probability density distribution range of radar measurement errors and the complementary characteristics between the two radar measurement results. It iteratively calculates the intersection of two spheres using a linear weighting method, and then calculates the arc midpoint using a proportional method, ultimately achieving a practical dual-station collaborative target positioning solution. This algorithm is suitable for compressed filtering processing in centralized information fusion for dual-station and multi-station radar collaborative positioning with medium- to long-baseline (20km-100km) configurations. It can significantly improve the accuracy of dual-station radar collaborative target positioning and avoid the systematic errors of the algorithm caused by approximation.

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.