320 results about "Radar data processing" patented technology

The invention discloses a multi-surveillance-source flying target parallel track processing method. The method includes the steps: multi-surveillance-source data receiving; multi-surveillance-source data analysis; radar data processing; ADS-B (automatic dependent surveillance-broadcast) data processing; multi-surveillance-source data fusion. Surveillance of quality of data accessing to radar is realized by monitoring and analyzing quality of radar signals. In addition, real-time receive processing of the radar data is realized by means of multithreading, high safety, high reliability and high usability of a data processing system can be further guaranteed, and accuracy and quickness in track processing of flying targets in different data types from different surveillance sources can be realized.

The invention relates to the technical field of airborne laser radar data processing, in particular to a semi-supervised classification method for airborne laser radar data fusing images. In the method, based on a semi-supervision concept, rough classification results of point cloud data are utilized to extract high-accuracy training sample data which is used for classifying high-resolution images; and in the post-processing process, based on target complexity, spurious building points are removed, the classification results are refined, and LiDAR (Laser Intensity Direction and Ranging) pointcloud multiple characteristics are fused for cross validation so as to finally realize fine classification of airborne laser radar data. The method is a fusion classification method with high reliability and high classification accuracy. In the precondition without using near infrared data, the method achieves good effect of classification for point cloud tall vegetation and low vegetation areas.

The invention relates to a multi-target tracking method in the technical field of information processing, comprising the following steps of: 1, obtaining the original state value of a track of each tracked target and the number of the tracked targets; 2, initializing the track state value by utilizing a sliding window method; 3, obtaining the synthesizing measurement and the synthesizing covariance of each track; 4, updating the T-frame track state value of each track in a sliding window by utilizing Kalman smoothing; 5. judging whether the Kalman smoothing is converged or not, if not, returning to step 3 until the Kalman smoothing is converged, and otherwise, returning to step 2, starting to process new data and outputting the target state value of first S moments in the sliding window to draw out the motion track of each target; and 6, continuously repeating the process of step 2 to step 5 so that the motion track of each target in all moments is obtained. The multi-target tracking method has the advantages of accurate tracking and high tracking speed and has wide application prospects in the fields of information fusion, radar data processing and multi-target tracking.

The invention discloses an overhead high-voltage line intelligent autonomous flight tour inspection system and method along wires. The system comprises a ground control station, laser radar, a laser radar data processing module and a multi-rotor unmanned aerial vehicle, the laser radar and the laser radar data processing module are both arranged on the multi-rotor unmanned aerial vehicle, the laser radar is used for acquiring information of the angle and the distance of a high-voltage line relative to the multi-rotor unmanned aerial vehicle, the laser radar data processing module transmits theabove information to the ground control station in a wireless mode, a motor driving module of the multi-rotor unmanned aerial vehicle performs rotating speed control on propeller motors in the multi-rotor unmanned aerial vehicle under the control of an unmanned aerial vehicle control center, the unmanned aerial vehicle and the overhead high-voltage line maintain a fixed distance, and the unmannedaerial vehicle performs cruise flight along the overhead high-voltage line. According to the system and method, in the tour inspection process, personnel operation is avoided, and high-efficiency, multifunctional and omnibearing intelligent overhead high-voltage line monitoring tour inspection can be realized.

The invention discloses a method for acquiring a three-dimensional wind field by using a wind profiler radar. The method is characterized by comprising the following steps of: firstly, acquiring radar-based data by using the wind profiler radar; secondly, feeding the acquired data into a computer for preprocessing; thirdly, picking a spectrum center of each library by the preprocessed data near wave beam and the distance library and calculating parameters; and fourthly, generating a three-dimensional same field by adopting a defined amount synthesizing method according to the calculated parameters. The invention solves the problems that a power spectrum center cannot be picked correctly in the wind profiler radar wind field and also solves the problem of how to effectively synthesize the wind field. The invention greatly reduces the interference of the inversed wind field information by the outside, effectively improves the data acquisition rate and accuracy of the wind profiler radar, further plays the performance of the wind profiler radar and can be widely applied to wind profiler radar data processing software systems in a convection layer and a boundary layer.

The invention discloses a channel concrete lining non-destructive testing system, which includes a computer, and is characterized in that: the computer is connected to a dedicated ground-penetrating radar subsystem, and the computer includes a radar data processing subsystem and an ultrasonic data processing subsystem, and the radar The data processing subsystem includes a file management module, a profile data processing module, a lining disease simulation analysis module, a layer tracking and disease identification module, and a lining physical property analysis module. The ultrasonic data processing subsystem includes an ultrasonic wave velocity calculation module and a coagulation intensity Judgment module. This system improves the data processing efficiency and accuracy of the construction quality inspection of canal concrete lining, and provides scientific, accurate, advanced and effective technical support for the construction quality inspection of canal concrete lining.

The invention discloses an FMCW anti-collision radar multi-target detecting and tracking system and method. The system comprises a radar array processing unit, a target detecting and estimating unit, a post-processing unit and a debugging unit. The radar array processing unit sends target information in front of a vehicle to the target detecting and estimating unit through a CAN bus for multi-target rapid detecting and tracking, and tracking results and obstacle avoidance early warning information are sent to the post-processing unit and the debugging unit through RS 422 serial ports respectively. The post-processing unit displays the received target tracking results and the obstacle avoidance early warning information and performs voice reminding. In the system debugging process, the debugging unit displays and evaluates intermediate data and the tracking results and controls the target detecting and estimating unit to be started or shut down. Radar data processing is converted into image processing, and the effective means is provided for meeting the application requirement for high-reliability anti-collision radar multi-target detecting of an automobile, a tramcar and other traffic systems.

The invention provides a method for automatically testing main performance indexes of a pulse instrumentation radar, which is to connect a radar signal processor, a radar target simulator, an azimuth and pitch radar servo controller, a radar terminal display and control computer and a radar data processing computer through a communication network exchange to form an automatic test system under the uniform control of the radar terminal display and control computer, wherein the radar signal processor, radar target simulator, azimuth and pitch radar servo controller, radar terminal display and control computer and the radar data processing computer are connected to a radar receiver. Such automatic tests as receiver magnitude-phase consistency, receiver band width and dynamic range of the radar, and main performance indexes of servo maximum tracking speed (azimuth and pitch), servo maximum tracking acceleration (azimuth and pitch), servo step response characteristics and servo band width and the like are realized by adopting the radar target simulator and a special test program. The test results of the performance indexes are given visually, so that the estimation and judgement to the radar performance index are greatly convenient; and convenient detection ways are provided to guarantee the radar to keep a well state and available at any time.

The invention discloses an HT-STC-TBD (Hough Transform and Successive Target Cancellation Based Track-Before-Detect) detection method for multiple weak targets under a radar-ranging fuzzy condition and belongs to the field of radar data processing. The HT-STC-TBD detection method comprises the following steps: (1) sending a measured target value which is detected by a high / middle pulse repetitionfrequency radar (such as an airborne pulse Doppler radar) into a data processing computer and then acquiring all the possible states of a target in the data processing computer; (2) performing Hough transformation on the possible states, thereby acquiring an energy accumulation column diagram; (3) searching for a peak value of the energy accumulation column diagram and performing Hough inverse transformation according to a peak value coordinate so as to confirm a valid detecting data point; (4) eliminating a false track, modifying a state of the target and realizing once target tracking; (5) eliminating the influence of the last detection and secondarily detecting the target; and (6) repeating the steps (3)-(5) till all the targets are detected, thereby realizing the tracking and detection of multiple weak targets.

The invention discloses a track method before locomotive weak target detection based on multimode grain filtering and data association, which belongs to the field of radar data processing. The method aims at solving locomotive weak target detection and track problems under low signal-to-noise ratio conditions, provides target track information while achieving the locomotive weak target detection, and effectively eliminates the target leakage problem caused by the low signal-to-noise ratio and big locomotive performance. The method mainly comprises the following steps of (1) using the multimode grain filtering to obtain target states and state covariance estimation of each time; and (2) redefining the results of the multimode grain filtering to be a measuration value, and using a state estimation-track data association to give out the target track information. The track method overcomes limitations of a track method before locomotive weak target detection based on multimode grain filtering, guarantees continuity of target tracks by effectively reducing false dismissal probability, simultaneously has the advantages of being simple in structure, easy to achieve hardware and the like, and has strong engineering application value and popularization prospects.

The invention discloses a data transmission, data fusion and continuous tracking and positioning method for multiple targets among radars. The method comprises the following steps that: at least two radar sensors collect each piece of original radar data in each radar detection area; each radar data processor carries out data analysis processing, target judgment, data transmission or data fusion processing on each piece of original radar data; and each radar data processor processes the corresponding processed radar data according to a preset multi-target cross-radar continuous tracking and real-time positioning model and a corresponding algorithm to obtain a corresponding effective tracking target, and each determined effective tracking target is tracked. By use of the scheme of the invention, each piece of original radar data collected by each radar sensor can carry out data transmission or data fusion, and in addition, each radar data processor can determine each effective trackingtarget according to each piece of processed radar data, and can carry out continuous tracking and real-time positioning.

The invention discloses a radar network anti-jamming efficiency evaluation method based on a detection probability geometric distribution curve, which belongs to the field of radar data processing. Considering that the radar network is faced with various complex interferences during wartime, evaluating the anti-jamming capability of the radar network is an urgent task for the construction of the current radar network and the improvement of the combat capability and survivability of the radar network. The present invention is based on solving such problems. First, a series of equally spaced points are selected in the Cartesian coordinate system with each radar in the network as the center, and converted to the polar coordinate system, and then the signal-to-noise ratio of each point is calculated in the polar coordinate system to obtain the detection probability of each point , and finally use rank K rule or Neyman-Pearson criterion in the distributed detection center of the radar network to fuse the detections of each radar, calculate the total detection probability and connect the points with the same detection probability to obtain the geometric distribution curve of the detection probability of the radar network .

The invention relates to a radar data analyzing method based on the figures, belonging to the computer application field of radar data process and transmission in the automatic system of air traffic control, the steps are as follows: (1) reading the radar parameter table from the parameter files, reading the map data from different layer files; (2) selecting a radar to be analyzed; (3) setting the central point coordinate of the selected radar as a central point, calculating by the coordinate projection on the map data, obtaining the coordinate value XY that the map is relative to the central point, calculating the screen coordinate according to the current display scale and displaying on the map according to the customer selected layer; (4) selecting radar history data for analysis; (5) reading the radar data file and analyzing according to the radar transmission protocol applied by the selected radar; (6) obtaining: first, a static display for radar data, second, a dynamic playback for radar data, third, text file output, as well as radar data analysis, map display of air traffic control, and the static display for radar data, namely target filtering display, radar position and magnetic deviation.

The invention belongs to a method for processing uniform ultra-sparse array antenna beam pointing fuzziness in the radar technology. The method comprises the steps of; performing initialization processing; performing directional transmission and reception by a first main lobe according to the set reference working frequency and two associated working frequency and pulse number in turn and performing comprehensive processing on the acquired three groups of target information so as to determine the existence of the target and removing pointing fuzziness caused by a grating lobe; when the target exists, inputting the angle and distance, speed and magnitude value of the target into a radar data processor together; and then repeatedly performing the processing on other main lobes so as to finish detection of the target on the pointing position of each main lobe. In the method, the angle range without grating lobe fuzziness is two times wider than that of two pieces of background technology and the array element number is reduced by over 50 percent, so that the method for the suppressing the uniform ultra-sparse array antenna beam pointing fuzziness is characterized in that: adverse impact of the grating lobe on the radar measured angle can be removed to the full extent; the antenna array element number and corresponding channel number of large-aperture uniform array radar are effectively reduced; the system cost is reduced, the application range is enlarged, and the like.

The invention discloses a landing point forecasting system for space launch rocket. According to the invention, the landing point forecasting system is connected to a spaceflight test and control network. Rocket debris and rocket flight position and speed information are extracted from data provided by a radar data processing system. Rocket debris separation time is extracted according to information provided by a remote measurement data processing system. Initial separation point data is obtained through fitting simulation. A rocket debris flight dynamics model is established through combination of flight environment mathematics modeling and aerodynamic characteristics analysis. Through landing point influence factor analysis, landing point accurate forecasting is performed, so that a landing area search range is reduced and rocket debris recycling efficiency is improved.

A symbiotic radar and communication system is disclosed. The system includes a plurality of base stations in communication with a wider communication network, each base station being configured to transmit and receive communication signals to and from a plurality of user terminals. The system performs communication data processing and radar data processing on received signals so that target object reflections contained therein can be resolved. Preferably, initial radar data processing is performed at each base station which embeds time and position information into the data and communicates it to a central radar server, the central server combining the received data from several of the base stations into a single range resolution profile.

The invention discloses a secondary radar information processing system based on CPU (Central Processing Unit) and GPU (Graphic Processing Unit). The information processing system comprises system hardware including a radio frequency signal acquisition module, a computer, a GPU computing card and a communication network and system software including an operation system, a communication middleware,radar signal processing software, radar data processing software and management software. The total flow of information processing comprises the steps of sampling a radar signal; processing a secondary radar signal; processing secondary radar data; inputting, outputting, processing and controlling all the processes. By adopting the system, hardware bases of the radar system are general, the functions and the performance are defined by the software, and the defects of traditional radar in extensibility, diversity and reliability are overcome; meanwhile, the advantages of flexibility in use, higher reliability, lower use cost, lower energy consumption, updatability, extensibility and the like are brought, and the use efficiency of the system is improved.

The invention discloses a multi-channel irregular radar data real-time analysis and concentrated-transmission-receiving card and a communication method thereof, relating to the technical field of processing of radar data in an air traffic control (ATC) system. According to the invention, a DSP (Digital Signal Processor) and an FPGA (Field Programmable Gate Array) are used as cores based on a PCI (Programmable Communications Interface), data communication with a PC application program is realized through the PCI; and especially, the 8-channel FPGA for receiving and transmitting synchronous, asynchronous and full duplex data, the DSP for analyzing various types of radar data protocols is realized, and a drive program and an application program of a PC are realized. According to the invention, the connection of the air traffic control system to a radar signal is optimized, system access of various kinds of radar signals is met, capacity is conveniently expanded, and various types of radar data can be set and forwarded.

The invention relates to the radar data processing technology and particularly relates to a target cluster method and device suitable for field surveillance radar. The invention provides a target cluster method and device directed to the problem in the prior art. The position of radar serves as a system center point, the radar detecting range is taken as the boundary, and the control space is changed into a rectangular coordinate system plane by projection. Firstly, an original trace point set is distributed in corresponding space units in a direction, then, the space units are subjected to condensation in sequence to obtain a cluster result in the direction, and on this basis, the first cluster result is subjected to condensation in another direction to obtain a final condensation result. The algorithm conducts linear scanning in one-dimensional direction for once condensation, and is better than the traditional algorithm considering two dimensions, thereby being named a dimension-reducing algorithm. In addition, calculation of a distance between any two points is omitted, and the time complexity of algorithm is linear, so that the efficiency is high.

The invention discloses a radar data processing method. The method includes the following steps: acquiring radar trace point data, and preprocessing the radar trace point data to obtain to-be-selectedtrace point data corresponding to a to-be-selected trace point; subjecting the to-be-selected trace point data to screening from coarse to fine by utilizing at least two types of wave gates; judginga temporary track by utilizing a logic method, and changing the temporary track into a true track if the temporary track satisfies a condition; and perform tracking filter based on the true track. Through utilization of the radar data processing method of embodiments of the invention, radar data can be processed simply and quickly, and a target track displayed on a radar terminal is more reliable.

The invention discloses a weighted nearest-neighbor data association method for a centralized multi-radar data processing process. The scores of seven parts including a gate, a course angle / angular velocity, attribute similarity, accelerated speed, response times, vertical distance and track status are associated, and the scores of the seven parts are subjected to the calculation of trace point and track relevancy based on the weighted scoring algorithm. In this way, the updated value of a final score is obtained. During the score associating process, after the calculation of trace point and track relevancy, the smaller the updated value of the final score of the associated values, the stronger the matching relationship. When the updated value of the final score of the associated values is larger than 0x9FFFF, the matching requirement is not met. In the condition of limited hardware resources and high requirement on real-time performance, the above data associated processing method is relatively efficient and accurate. Meanwhile, on the basis of an original nearest-neighbor associated processing method, other associated reference factors are introduced at the same time. Therefore, an optimal matching group between trace points and the track can be gradually found out.

The invention relates to the technical field of radar data processing and discloses an omnidirectional radar data processing method and system. The method comprises the following steps: determining a grid where a target locates; carrying out association with targets in the adjacent grids; carrying out polar coordinate Kalman filtering; carrying out rectangular coordinate Kalman filtering by utilizing the result of the previous stage of filtering; and carrying out target track management. According to the method and system, grid division is carried out on radar detection airspace, and neighborhood space association is carried out, so that calculation amount can be effectively reduced, and running speed of the system is improved; and a multi-step multistage Kalman filtering model is used, so that advantages of the two can be effectively utilized, and measurement accuracy of the whole radar system is improved.

The invention relates to the field of mobile laser radar data processing, and discloses a universal automatic extraction method for a mobile laser radar data road surface, which comprises the following steps: step 1, eliminating outliers by using a statistical filtering method, and extracting road surface candidate points from laser radar data according to trajectory data and elevation information; step 2, segmenting the candidate points into a plurality of pseudo scanning lines along the advancing direction of the vehicle, and converting a coordinate system of the point cloud into a local coordinate system based on the pseudo scanning lines; and step 3, achieving road surface extraction by detecting height mutation between the road surface and the kerb or the drainage ditch. The inventionfurther discloses an automatic extraction method of the road surface marker line. According to the method, the trajectory data, the three-dimensional coordinates of the point cloud, the intensity information and the intensity gradient information are comprehensively utilized, different types of mobile laser radar data are effectively organized, the road surface and the marker line are automatically extracted, and the method is generally suitable for different types of mobile laser radar systems.

The invention relates to a multi-characteristic information fusion method for target data correlation and belongs to the technical field of radar data processing. The method comprises the following steps: 1) trace point pretreatment: screening data and storing the screened data according to frame; 2) target classification: classifying targets into three classes according to target speeds; 3) point-point correlation: carrying out track initiation by utilizing an m / n logical approach, and adopting different correlation strategies for different types of targets; 4) point-track correlation: carrying out extrapolation on a target track, and searching target candidate echoes according to a Bayesian data correlation algorithm; 5) feature similarity computation: extracting feature information of the candidate echoes and calculating feature similarity; and 6) comprehensive correlation degree computation: calculating comprehensive correlation degree according to the feature similarity and feature weight, and selecting the candidate echo, the comprehensive correlation degree of which is the largest, as target measurement. The method can reduce the number of the target candidate echoes, reduces operation burden, improves reliability of data correlation under a dense clutter background, and has a popularization and application value.

The invention discloses a particle filtering fusion method for a short track obtained through multi-frame tracking-before-detection, which belongs to the technical field of radar data processing. A short track obtained through multi-frame tracking before detection is further processed, in order to track a target for a long time and to solve the technical problem that the multi-frame tracking-before-detection method cannot provide the complete track information of the target. Moreover, the state of the target is iteratively estimated in real time, and the state of the target is filtered and fused according to the short track obtained through multi-frame tracking before detection, in order to improve the accuracy of target state estimation and make full use of the repeated information not fully utilized in an iterative sliding window. Through particle state prediction, the problem of missing detection in tracking-before-detection of a dim target with low signal-to-noise ratio is solved,and the continuity of the track is ensured.

The invention relates to a computer control system, in particular to an early warning system for a power grid meteorological disaster. The early warning system is structurally characterized by comprising a Doppler radar, a radar data processing device, a radar data recognition device, a latitude and longitude sampling device, a power grid GIS (Geographic Information System) and a short time forecasting device. The invention has the advantages that: organic integration of regional information and disaster information is realized on Doppler radar data and the power grid GIS system, so that the meteorological condition of a set region can be seen intuitively in the power grid GIS system, short-term forecasting information of a corresponding condition is obtained, power grid equipment and a running state which are possibly influenced by the meteorological disaster are protected, an important early warning effect is achieved, the influence of the meteorological disaster on the power grid equipment and running is reduced, important decision basis is provided for comprehensive precaution or preparedness against natural calamities, the disaster monitoring, disaster early warning, disasterpreventing, disaster dealing and disaster treating capabilities of the power grid are remarkably enhanced, and the safe running level of the power grid is raised.

The invention relates to a passive radar signal sorting association weight calculation method based on data mining. The method comprises the following steps of: building a target signal sample matrix through large-sample storage of different-target different-period passive radar radiation source information on the basis of radiation source signal feature parameters such as the DOA (Direction of the Arrival), the PW (Pulse Width), the PRI (Pulse Recurrence Interval) and the RF (Radar Signal Carrier Frequency); adopting an improved information entropy method to obtain a parameter initial weight matrix by aiming at the matrix, and then performing weighted calculation to obtain a weight vector; and finally, performing association verification on the weight vector and providing a conflict resolution strategy. When the method provided by the invention is adopted, on the basis of large-sample data, the weight credibility can be enhanced; the improved information entropy method is used for performing association weight calculation; the scientificity of the weight can be improved; meanwhile, the inconformity is eliminated through obtaining the association weight on the basis of the initial weight matrix; and through the association verification, the applicability is improved. The method provides the method support for the passive radar signal sorting, and can be popularized to the field of radar data processing.

The invention provides a radar data processing method. The radar data processing method comprises the steps of original data collection, data editing, data processing, image processing and data displaying and interpretation. The proper processing method and process are provided, various kinds of interference noise can be suppressed, effective signals can be enhanced, the signal to noise ratio of data can be improved, a high-resolution radar image section can be obtained, and the interpretation accuracy of a detection result can be improved.

The invention discloses a continuous wave one-dimensional phase scanning miss distance vector detection method and device. The method comprises the following steps: continuously scanning a target region at high speed in the horizontal direction by adopting a one-dimensional phase scanning mechanism, fixing and setting the beam direction of each beam position of a radar in advance, and sequentially and cyclically scanning each beam position from left to right from the first beam position on left; when the radar scans a certain beam position, measuring an object distance through a linearly frequency-modulated continuous wave distance measurement mechanism by virtue of the radar, transmitting a frequency-modulated continuous wave signal to a scanning sector, and when an object enters a detection area, performing miss distance vector measurement on the distance Rp' and direction of the object relative to the radar in broadband linearly frequency-modulated continuous wave distance measurement and single pulse sum and difference angle measurement manners, and converting the distance and direction of the object relative to the radar into a miss distance vector relative to a target by utilizing a geometrical relationship of the distance and the azimuth angle relative to the target and a coordinate conversion formula by virtue of a radar data processing extension.