19 results about "Radar resolution" patented technology

The invention provides a distributed MIMO clutter echo simulation method based on GIS information, and the method comprises the steps: obtaining the GIS information of a geographic information system, and dividing a surface scatterer irradiated by an MIMO radar into a plurality of basic scattering units based on the GIS information; calculating slope distances, Doppler frequencies, terrain elevation values and land cover types of the plurality of basic scattering units to form a scene model element set; mapping a plurality of basic scattering units to a radar resolution unit by combining a backscattering coefficient empirical model and a resolution adaptive grid mapping method according to the scene model element set; dividing the radar resolution unit into a permanent scattering area and a dynamic scattering area according to GIS information; performing clutter statistical characteristic simulation processing on the permanent scattering region and the dynamic scattering region to obtain a clutter amplitude sequence; and performing echo analysis processing on the clutter amplitude sequence in a time-frequency domain to obtain clutter echo simulation data. And the simulation precision of clutter echo simulation data is integrally improved.

The application discloses a kind of methods and systems for generating airborne radar low observable waveform facing uncertain target scattering characteristics, the method includes: based on spatial information interaction theory, the expected interaction information amount between target scattering signal and radar receiving signal of maneuvering target in state transition angle interval is constructed, from the angle of intercept receiver signal processing link, with the log-likelihood ratio expected value of intercepted signal and the interaction information amount between intercept receiver input and output signal, fusion construction intercept-identification joint performance evaluation index;Under the given transmitting power constraint, the frequency domain waveform multi-objective optimization model with the maximum radar expected interaction information amount and the minimum intercept-identification joint performance index as target is constructed, and is converted into convex optimization problem for solving;Based on random sequence step frequency modulation signal, the time domain waveform implementation mode satisfying the frequency domain optimization result is designed, and the performance of the designed waveform is verified;The application satisfies radar resolution performance.

The present application relates to the technical field of geological disaster monitoring and early warning, and in particular to a slope radar data accurate visualization method, a readable storage medium and equipment. The method comprises the following steps: obtaining a data set by using a radar; performing data preprocessing; converting three-dimensional terrain point coordinate values to a two-dimensional polar coordinate space to obtain polar coordinates corresponding to the three-dimensional terrain points; matching the slope radar resolution unit with the three-dimensional terrain points, and calculating the three-dimensional space coordinates corresponding to the slope radar resolution unit. The method of the present application maps three-dimensional space to polar coordinates, preliminarily screens the three-dimensional terrain points near the slope radar resolution unit in combination with a buffer zone, then secondarily screens the nearest three-dimensional terrain points in the four directions of up, down, left and right, and finally estimates the accurate three-dimensional space coordinates of the slope radar resolution unit by using the inverse distance weighted interpolation method, thereby realizing one-to-one correspondence between the radar monitoring data two-dimensional polar coordinates and the three-dimensional space coordinates, accurate mapping, and providing a basis for subsequent data visualization and monitoring and early warning analysis.

The present disclosure provides a method, a device, an electronic apparatus, and a storage medium for object classification and relates to the technical field of radar sensors. The method comprises: identifying a plurality of objects using a hybrid radar sensor; determining the nearest object to a target object, as well as determining a first polar coordinate corresponding to the target object and a second polar coordinate corresponding to the nearest object; calculating a distance difference and an angular difference between the target object and the nearest object based on the first and second polar coordinates; determining a Gaussian distribution function of the target object in the polar coordinate system using a preset variance of a Gaussian distribution; and calculating a probability result based on the distance difference, the angular difference,Using radar resolution and the Gaussian distribution function, the target object and the nearest object are identified as the same object, and a classification result of the target object is determined based on the probability result. Through the Gaussian variance, the present disclosure achieves the output of an object classification probability in a hybrid radar sensor, which ensures computational efficiency and simultaneously expands the application scenarios of the radar.

The present invention relates to a method for calculating the effective detection distance of a lidar along the entire tunnel route, a device, and a medium. The method comprises: performing tunnel modeling on the basis of as-built drawings for post-construction survey of a track; and calculating the effective detection distance of a radar at each point on the track on the basis of an established tunnel model, wherein the calculation comprises: setting a certain point as a starting point, and the center of an object in a tunnel cross-section at a first set distance from the point as an end point; calculating, within the distance from the starting point to the end point, included angles between the lines connecting all tunnel points to the starting point and the line connecting the starting point to the end point; if there is an included angle smaller than the radar resolution, setting a point obtained by moving the end point back toward the starting point by a set distance as a new end point; and then repeating the calculation process until within the distance from the starting point to the end point, the included angles between the lines connecting all the tunnel points to the starting point and the line connecting the starting point to the end point are all greater than the radar resolution, and in this case, the distance from the end point to the starting point is the effective detection distance at the starting point. Compared with the prior art, the present invention has the advantages of high calculation precision.

A high precision geocoding method for a ground-based synthetic aperture radar image is provided, which relates to the technical field of ground-based synthetic aperture radar data processing. Geometric mapping registration is performed on radar two-dimensional imaging information and topographic data in a monitoring area to achieve mutual transformation between a two-dimensional polar coordinate system of radar and a spatial three-dimensional point cloud coordinate system and determine spatial position information of deformation of a unique side slope ground object target in a radar resolution unit. Moreover, radar time sequence deformation data may be converted into information of deformation along a major sliding direction of the side slope by determining projection transformation parameters of a side slope sliding vector and a line-of-sight direction vector.

Various technologies described herein pertain to systems and methods for increasing radar resolution by, for example, combining radar information. In one embodiment, beamforming is performed using radar units that are individually coherent but collectively do not need to be coherent. Each radar transmits and receives its own signal to process and generate target information including beamforming information and / or virtual receiver channel information. The target information from each radar is then merged or summed into a combined beamforming based on all the target information received from all the radar units. When the radar units used in this manner are separated by a distance, the resulting beamforming information is representative of an aperture / resolution based on the total space or distance between the radar units. Thus, having an improved resolution, benefits such as improved target resolution (e.g., size, position, and detection) can be achieved.

This invention relates to the field of radar testing technology, and provides a passive calibrator and calibration method for radar penetration detection within a medium. The passive calibrator includes: a calibration element, a connecting rod, and lifting rings. The calibration element is configured to be disposed inside the penetrating medium, and includes a mounting base and reflectors. Multiple reflectors are arranged circumferentially along the central axis of the mounting base, with one end of each reflector connected at the central axis, forming a reflecting surface between adjacent reflectors. Two calibration elements are provided, with both ends of the connecting rod connected to the two calibration elements respectively. Two lifting rings are provided, located at the ends of the two calibration elements furthest from the connecting rod. The passive calibrator for radar penetration detection within a medium provided by this invention avoids the influence of surface scattering on the calibration results, enabling omnidirectional acquisition of the radar signal reflected by the calibrator. It also verifies the internal penetration detection resolution of the radar detection system, achieving a combined function of calibration and radar resolution verification.

This invention discloses a 3D scanning lidar, a lidar scanning method, and an unmanned forklift. The method establishes a mathematical model of the relationship between rotational speed and the spatial angular distribution of a point cloud. It fixes the spindle rotational speed r1 and adjusts the high-speed rotational speed r2 to form a non-integer proportional motion, achieving non-repetitive scanning to generate a uniform point cloud. Based on the model, it calculates the point cloud uniformity index δS, generates a feature map, and selects the optimal rotational speed to support switching between uniform, progressive, or repetitive scanning modes. Furthermore, through pre-calculated gyro effect compensation and bidirectional laser arrangement, it forms a cross-shaped oblique grid, improving boundary recognition accuracy; adjusting the ratio of r1 to r2 controls the grid angle, achieving acute, right, or obtuse angle grids. This invention overcomes the problems of traditional radar resolution being limited by the number of modules, slow coverage speed, and complex control. Through open-loop control and dynamic adjustment, it reduces cost and power consumption, improves point cloud density and task adaptability, and is applicable to fields such as autonomous driving and robotics.

The invention provides a space-based and air-based radar cooperative detection method, device and equipment for a sea-skimming stealth target and a storage medium. Relates to the technical field of radar detection simulation. The method comprises the following steps: acquiring a space-based radar frequency, an azimuth angle and a pitch angle, and determining a sea-skimming target and marine environment simulation parameters; calculating a target double-station RCS and an ocean double-station scattering coefficient; according to the target double-station RCS and the ocean double-station scattering coefficient, the echo signal-to-clutter ratio in a single radar resolution unit of each azimuth angle is calculated; based on the distribution rule of the echo signal-to-clutter ratio along with the receiving azimuth angle, taking the azimuth angle corresponding to the minimum value of the signal-to-clutter ratio as the azimuth of the receiver; and changing the pitch angle at least once, recalculating the echo signal-to-clutter ratio until the azimuth angle of the receiver is located in the forward scattering target area, and taking the currently determined azimuth angle of the receiver as the final deployment azimuth of the airborne receiving radar. According to the invention, long-distance detection of the ultra-low penetration defense stealth target can be realized.

The present application belongs to the technical field of geological disaster monitoring, and particularly relates to a method for dynamically measuring the velocity of a surface flow field of a debris flow in a complex environment based on radar and vision fusion. The method comprises: establishing a joint calibration model of a millimeter wave radar and a camera to achieve spatio-temporal alignment of data from heterogeneous sensors; collecting a video image sequence to calculate a dense visual velocity field; at the same time, constructing a high-confidence sparse radar velocity field from a millimeter wave radar CFAR point cloud; constructing an environment perception adaptive weight model to dynamically calculate a fusion weight based on image texture richness and radar signal-to-noise ratio, and to perform pixel-level weighted fusion and correction on the visual dense flow field and the radar sparse flow field, and finally obtaining a high-robustness velocity vector distribution. The present application effectively solves the problems of large interference of a single visual sensor by light, rain and fog, and low resolution and lack of texture information of a single radar, and realizes all-weather high-precision fluid velocity measurement.

The application discloses a kind of methods and systems for generating airborne radar low observable waveform facing uncertain target scattering characteristics, the method includes: based on spatial information interaction theory, the expected interaction information amount between target scattering signal and radar receiving signal of maneuvering target in state transition angle interval is constructed, from the angle of intercept receiver signal processing link, with the log-likelihood ratio expected value of intercepted signal and the interaction information amount between intercept receiver input and output signal, fusion construction intercept-identification joint performance evaluation index;Under the given transmitting power constraint, the frequency domain waveform multi-objective optimization model with the maximum radar expected interaction information amount and the minimum intercept-identification joint performance index as target is constructed, and is converted into convex optimization problem for solving;Based on random sequence step frequency modulation signal, the time domain waveform implementation mode satisfying the frequency domain optimization result is designed, and the performance of the designed waveform is verified;The application satisfies radar resolution performance.

The invention discloses a 3D scanning laser radar, a laser radar scanning method and an unmanned forklift. According to the method, a mathematical model of a rotation speed relation and point cloud space angle distribution is established, a main shaft rotation speed r1 is fixed, a high-speed rotation speed r2 is adjusted to form non-integer proportional motion, and non-repeated scanning is realized to generate uniform point cloud. And calculating a point cloud uniformity index delta S based on the model, generating a characteristic spectrum, and selecting an optimal rotating speed to support uniform, line-by-line or repeated scanning mode switching. Furthermore, through pre-calculated gyroscopic effect compensation and bidirectional laser arrangement, a crossed oblique line grid is formed, and the boundary recognition precision is improved; and adjusting the ratio of r1 to r2 to control the grid angle so as to realize an acute-angle, right-angle or obtuse-angle grid. The problems that the resolution of a traditional radar is limited by the number of modules, the coverage speed is low, and control is complex are solved, through open-loop control and dynamic adjustment, cost and power consumption are reduced, the point cloud density and task adaptability are improved, and the method is suitable for the fields of automatic driving, robots and the like.

The invention provides a device and method for detecting the resolution of a drill-borne laser radar, and relates to the field of laser radar performance detection, and the method comprises the steps: reproducing an extreme environment condition of a drilling site; the bionic target simulates a real rock stratum; laser radar signals are collected at high precision under extreme interference; the acquired signals are processed based on prior knowledge, and a resolution index is inverted; and based on the convolutional neural network, analyzing the resolution index to obtain a high-confidence resolution index, and carrying out intelligent grading evaluation on the detection precision of the laser radar. The problems that a traditional device cannot adapt to the extreme drilling environment and the detection result distortion rate is high are effectively solved, and accurate, reliable and intelligent detection of the laser radar resolution in a laboratory is achieved.

This invention discloses an optimization method for multi-aircraft formation cooperative deception jamming based on genetic algorithms, belonging to the field of electronic countermeasures technology. This method addresses the problems of discrete false targets generated by existing multi-aircraft deception jamming techniques, which are easily identified and filtered by radar networks. First, a system model including aircraft formation, radar network, and flight area is established. Then, a cooperative jamming evaluation model is constructed. By calculating the spatial distance between false target pairs generated by different aircraft against different radars and comparing it with radar resolution thresholds, the jamming effectiveness of the formation is quantified. Finally, using this evaluation model as the objective function, a genetic algorithm is used to iteratively optimize the spatial positions of multiple aircraft, searching for an aircraft formation scheme that maximizes the spatial overlap of false targets. This invention can automatically generate optimized aircraft formation positions, significantly improving the cooperative deception jamming effectiveness of multi-aircraft formations against radar networks.

The invention discloses a multi-machine formation collaborative deception jamming optimization method based on a genetic algorithm, and belongs to the technical field of electronic countermeasures. Aiming at the problem that false targets generated by multi-aircraft deception jamming in the prior art are discrete and are easily recognized and filtered by a radar network, the method comprises the following steps: firstly, establishing a system model comprising an aircraft formation, a radar network and a flight area; then constructing a cooperative interference evaluation model, calculating the spatial distance between false target pairs generated by different airplanes to different radars, and comparing the spatial distance with a radar resolution threshold to quantify formation interference efficiency; and finally, taking the evaluation model as a target function, carrying out iterative optimization on the spatial positions of multiple aircrafts by utilizing a genetic algorithm, and searching to obtain an aircraft formation scheme capable of enabling false targets to coincide in space to the maximum extent. According to the method, the optimized aircraft formation position can be automatically generated, and the cooperative deception jamming efficiency of the multi-aircraft formation to the radar network is remarkably improved.

A circuit has at least one amplifier and a signal routing device such as one or more switches, and an array of antenna elements from which some subset must be enabled and processed at a time. The antenna elements can be grouped in accordance with an organization scheme (e.g., rows, columns) to enable more flexibility in selecting and routing the signals. The system is used to create one or more beams, which can be pointed (steered) to a wide range of directions by means of selecting one or more feed antennas in a switched-feed antenna without including full receive and transmit circuitry (DSP, frequency conversion) for each feed in the array. In this case, minimizing the number of DSP chains is desirable to reduce the cost, power, and complexity of the antenna. The resulting beam(s) can be combined and manipulated to support multiple users, track several targets, increase operational range, increase radar resolution, or data-rate in communications.

The invention provides a method and device for measuring the resolution of a laser radar, electronic equipment and a storage medium, and relates to the technical field of radars, and the method comprises the steps: controlling the laser radar to scan a target at a preset field angle, so as to obtain a target point cloud, and enabling the preset field angle to be at least part of the field angle of the laser radar, and mapping the two-dimensional diagram of the target point cloud to the binocular camera system according to the position association relationship between the laser radar and the binocular camera system, determining the three-dimensional coordinate of each point in the target point cloud mapped to the binocular camera system according to the binocular camera system, and determining the angular resolution of the laser radar according to the three-dimensional coordinate of each point in the target point cloud. According to the invention, the angular resolution of the laser radar can be measured, the measurement process is simple and is not limited by sites, and the measurement cost can be reduced.