144 results about "Radar network" patented technology

A real-time radar surveillance system comprises at least one land-based non-coherent radar sensor apparatus adapted for detecting maneuvering targets and targets of small or low radar cross-section. The radar sensor apparatus includes a marine radar device, a digitizer connected to the marine radar device for receiving therefrom samples of radar video echo signals, and computer programmed to implement a software-configurable radar processor generating target data including detection data and track data, the computer being connectable to a computer network including a database. The processor is figured to transmit at least a portion of the target data over the network to the database, the database being accessible via the network by at least one user application that receives target data from the database, the user application providing a user interface for at least one user of the system.

The invention belongs to the technical field of multi-radar networking plot fusion, and particularly relates to a multi-radar plot fusion method. The method comprises the following steps of 1, receiving multiple pieces of radar measurement data, conducting space alignment and setting a uniform measurement coordinate system; 2, judging whether the radar measurement data all contains target Doppler velocity information or not, if yes, executing the step 3, and otherwise, executing the step 6; 3, conducting time alignment; 4, conducting plot association and plot fusion to obtain fused plot information; 5, conducting track association with a formed track and filtering updating by utilizing the fused plot information, and executing the step 7; 6, sorting the data by time, and conducting track association with the formed track and filtering updating in sequence by utilizing the sorted data; 7, conducting track initiation by utilizing the radar data which does not participate in track association; 8, outputting a track result. The multi-radar plot fusion method is beneficial to prolonging the target detection distance and improving the tracking precision and the maneuvering target tracking performance.

This invention describes vertical take off and landing (VTOL) propulsion systems that develop a forward flow of air through the air intake ducts during vertical takeoff and landing. This forward air flow in the air intake ducts is developed by a internal duct system, reversing the rotation of the fan, or altering the blade pitch of a variable pitch fan. This invention describes thrust vectoring systems for controlling aircraft direction, attitude, pitch, roll, yaw and rotation during VTOL and forward flight. Rotational nozzles are described to function in a independent but coordinated manner to control the aircraft during VTOL and forward flight. A thrust vectoring variable throat converging diverging exhaust duct nozzle is described. A movable radar absorbing or reflecting grid may be located in the air intake duct. The radar grid is movable to increase aircraft speed and engine efficiency when the aircraft is not operating in a radar threat situation. The described VTOL propulsion systems and thrust vectoring methods are applied to a aircraft with a internal combustion engine.

The invention discloses a phased array radar networking system resource management method based on multi-target tracking, which belongs to the field of phased array radar networking resource management technologies, and relates to multi-target tracking. The phased array radar networking system resource management method based on multi-target tracking comprises the steps of: firstly, studying a topological structure between a radar network and a target, and analyzing influence of different angles and space diversity gains of different targets on an echo signal-to-noise ratio when a multi-phasedarray radar network is in a multi-beam operating mode; and secondly, optimizing a beam pointing direction and a beam dwell time of each radar on the premise that tracking precision of each target satisfies a predetermined requirement, so that the total dwell time of the radar networking beam used for tracking is shortest. Since target positions, angles, RCS and radar networking space diversity gains are different, the requirement for system resources of each target for maintaining the preset tracking precision changes and the problem that a plurality of targets cannot be effective tracked iscaused. The phased array radar networking system resource management method based on multi-target tracking realizes the orderly tracking of the plurality of targets by means of the system while savingresources.

The invention provides a multi-radar cross-regional networked multi-target tracking and identification method and device and belongs to the field of vehicle road detection. The device comprises a plurality of radars arranged on an expressway and a video detection system. When targets enter triggering positions set by the radars, the targets trigger video detection data; radar data and video data are associated, the characteristic information such as the license plates and vehicle types of the target vehicles and the motion information such as the vehicle speeds of the target vehicles can be synthesized on the expressway; and multi-radar data fusion is performed on the targets, so that the moving tracks of the tracked targets running at different regions of the expressway are formed. The method and device combine the advantages of the radars and video detection, and therefore, with the method and device adopted, the limitation of the detection range of a single radar is broken through,the detection distance of the radars is infinitely extended, and the transmission of the characteristic information and motion information is realized; all movement tracks, traffic behaviors and otherinformation of the vehicles in the radar network can be obtained; and a multi-radar cross-regional networked multi-target tracking and identification process is achieved.

The invention relates to a synergy self-adaption observing method. 360-degree omnibearing scanning is completed by each radar in a weather radar network within an angle of elevation ranging from 1 degree to 5 degrees; time continuous data of a whole observing region is contained, all radar terminal programs read the data and conduct preprocessing; then an interested key area is found by weather commands and detection arithmetic processing observing data in control; according to AOI information, a weighted value of the AOI is calculated by a method of weighting; priority of the AOI is determined; the AOI information is uploaded to a control center; a region to scan is determined by the control center, and a scanning strategy is formed; at last, an adaptive scan pattern is conducted by all radars according to the scanning strategy. The synergy self-adaption observing method solves the problem that how to select the key region and conduct synergy self-adaption observation by a plurality of radars, deficiency of long-range radars is overcome, and the information with higher temporal-spatial resolution is obtained.

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 discloses a convolutional neural network based cooperative radar network track deception jamming discrimination method, and belongs to the technical field of radar countermeasure. Track deception jamming is a new mode of deception jamming special for networking radar, and has the characteristics of strong confusability and high discrimination difficulty; in practical engineering, signals and data information reported by radar stations are quite rich, and the existing method using single data layer characteristics for hard decision has the disadvantages of poor reliability in discrimination results and high false discrimination probability. In order to solve the problem, the method mainly includes the following steps: (1) calculating an identification characteristics parameter set; (2) selecting training and testing samples; (3) utilizing the training sample to train the network, and utilizing the testing sample to test the network. The method is applicable to centralized radar networks and high in correct identification rate of false tracks, and has high engineering application value and popularization prospect.

The invention discloses a radar networking resource control method based on RF stealth in passive coordination. The method comprises the steps of after an anticipated covariance matrix Pd which represents a target tracking precision threshold and a target detection signal-to-noise ratio threshold SNRmin are set, establishing a radar networking resource control mathematical model; according to difference between a calculated Pd and the predicated target covariance matrix, determining whether the predicated target tracking precision satisfies a requirement; if yes, shutting down a radar transmitter in the networking system at next time, and tracking the target through TDOA passive sensor coordination; and otherwise, starting the radar transmitter in the networking system at next time, and tracking the target; after target state information is acquired and predicted, confirming residence time and radiation power of the radar transmitter at the next time; and performing cycling until the tracking process is finished. Based on the radar networking resource control method, starting / stopping state, residence time and radiation power of the radar transmitter can be optimized through the passive sensor, thereby improving RF stealth performance of the radar networking system.

A radar activation multiple access system and method is provided that includes a plurality of radar participant nodes wirelessly connected and forming a radar network and a multiple access unit in communication with the radar network. The multiple access unit includes a scheduler component, a synch component, a priority component and a radar activation component. The scheduler component is configured to schedule a period of operation having a plurality of time divisions within the period of operation. The synch component is configured to synchronize the radar participant nodes within the period of operation. The priority component is configured to assign a priority to individual radar participant nodes in the radar network. The radar activation component is communicatively connected to the radar network and configured to determine a contentious state at a time division in the period of operation. The radar activation component instructs individual nodes to assume the role of transmitter or receiver based on the assigned priority.

The invention belongs to the technical field of traffic image processing and traffic information, and discloses a whole-course continuous track vehicle tracking system and method based on a laser radar network. The whole-course continuous track vehicle tracking system based on the laser radar network comprises the laser radar network, other roadside sensors, a roadside processor, a fusion server and network communication equipment, the whole-course continuous track vehicle tracking method based on the laser radar network comprises the following steps: synchronizing time; scanning a monitoringrange; performing vehicle multi-target detection; tracking a track; carrying out snapshot and license plate recognition; carrying out event analysis; carrying out coordinate conversion; carrying out encoding the information; reporting detection point information; fusing information in the whole process; and displaying vehicle full course trajectory. According to the invention, real-time and whole-course continuous trajectory tracking can be carried out on vehicles on an expressway, video images in an event occurrence time period can be accurately captured in combination with a camera, timely processing of hit-and-run vehicles is realized, and small time delay, low calculation load and small network transmission load are realized.

The invention discloses an integrated space and terrestrial information based stereoscopic monitoring method for air pollution and a monitoring system. The method comprises the following steps: establishing satellite remote sensing and atmospheric model monitoring to monitor the distribution and diffusion trends of large-scale dyes in a region to initially determine local and external sources; establishing a laser radar network monitoring system to locate and track air pollution sources at the same time; and establishing a densely distributed ground monitoring grid site for accurate analysis of the causes of atmospheric pollution sources. Through the three-level monitoring system, the detection of air pollution in the monitoring area can be completed, and serious areas of air pollution, sources of pollutants, and the distribution and diffusion situation of key pollution sources can be clarified. And then the processing, statistics, and analysis of massive data can be completed based ona software platform to obtain monitoring results. The invention can realize effective monitoring of atmospheric pollutants, which has high distance resolution and time resolution.

The invention provides a strategic location protection radar network detection method adopting a forward scattering radar, which aims at protecting the safety of the airspace of a strategic location, realizing effective detection of a low-altitude flying small target and forming continuous, stable and precise target track estimation, and belongs to the technical field of radar networking detection. According to the method provided by the invention, the continuous, stable and precise target track estimation is formed and the purpose of protecting the safety of the airspace of the strategic location is achieved by determining a coverage model of the forward scattering radar, selecting a topological structure with optimal topological units based on a genetic algorithm, determining a protection area, comprehensively covering the protection area according to the comprehensive coverage principle and performing target detection, track fusion and other steps.

The invention discloses a joint estimation CRLB-based distributed radar optimal configuration constructing method. According to the method, a distributed radar network is equivalent to a large-aperture radar so as to perform radar detection performance analysis; the CRLB for equivalent single base distance and equivalent single base target angle estimation is derived; an optimization model with the minimizing the CRLB as an objective function is constructed; the limitations of the location of the radar in practical application are considered; the constraint conditions of the observation angles of each radar node are added in the model; and by means of rigorous mathematical derivation, a practically feasible optimal network configuration and the analytic expression thereof are obtained. Therefore, the method of the invention has high practical feasibility and reliability.

The invention discloses a radar networking deployment optimization method. A radar network consists of N pieces of same-frequency or same-frequency-band different-frequency radar. An optimum deployment scheme is selected, so that an obtained alert region G can approach to the required alert region A<g>, and the detection probability can reach a requirement P<dg>; meanwhile, an obtained key detection region C can also approach to a required key detection airspace A<c> to a great degree, and the detection probability can reach the detection requirement P<dc>; the higher the radar electromagnetic compatibility degree phi<total>, the better; and the problem belongs to a multi-objective optimization problem. The radar electromagnetic compatibility and the space covering coefficient are used as radar optimization objectives; and an optimization algorithm is combined for performing optimization deployment on a radar network formed by same-frequency radar, same-frequency-band different-frequency radar, mixed same-frequency and same-frequency-band different-frequency radar and multi-frequency-band radar. The method has the advantages that the radar space covering degree and the radar electromagnetic compatibility are considered, so that the radar networking has good compatibility work capability and good work effects in the complicated electromagnetic environment.

The invention relates to a weighted average strategy-based distributed radar network multi-target positioning method. The method includes the following steps that: step a, M transmitters and N receivers are arranged in a distributed radar network and are widely distributed geographically and in time synchronization; the transmitters and the receivers are located in a two-dimensional plane, and the locations of the transmitters and the receivers are known; step b, parameter information such as target position and radar cross-section area is estimated through utilizing a target tracking algorithm, and objective functions to be optimized are constructed through a Cramer-Rao Bound-based variance decline function of transmitter sub sets; step c, a sub set of the transmitters is selected to maximize objective functions under the constraint of total power by using sub-module features of the objective functions to be optimized and a weighted average strategy-based sub set selection algorithm. According to the weighted average strategy-based distributed radar network multi-target positioning method of the invention, a weighted average strategy-based polynomial time algorithm complexity transmitter sub set selection algorithm having a performance guaranteeing function can be realized through utilizing the sub-module features of the objective functions to be optimized.

The invention discloses a multifunctional radar network mission planning method. The method comprises the steps of firstly establishing a radar mission model, wherein a default period of each radar mission in the model is an irregular any positive real number, and a radar network comprises a plurality of multifunctional radars; secondly setting different slot widths and a total period for each radar time axis according to parameters of existing missions, allocating each radar mission to the radar time axis with a minimum deviation between the slot width and the period of the radar mission, and updating the period of each mission; and finally planning each mission in the corresponding radar by utilizing a heuristic algorithm. According to the method, a plurality of the arbitrarily periodical radar missions can be planned on each radar in the multifunctional radar network.

The invention discloses a movable radar networking batch-processing type error register and belongs to the field of radar data processing. According to the conventional movable radar network error registration technology, supposed and constructed models do not meet actual engineering background requirements, the problem about movable radar network error registration is not systematically and comprehensively modeled and solved, and availability is low. The invention relates to a batch-processing algorithm for measurement. According to the algorithm, converged system error estimation is finally realized by recursively optimizing system errors along the maximum gradient of disturbance. The distance between radars is not limited, the priori knowledge of fixed reference points is not required to be utilized, and the error register is high in convergence speed and high in accuracy and has popularization and application values.

The invention provides a regional meteorological radar network data fusion method and device. According to the method, three-dimensional meteorological data of all the radars in the regional meteorological radar network are spliced in a unified Cartesian coordinate system; for each grid cell in multiple radar overlapped coverage areas, a weight value of each radar is calculated, and the optimal three-dimensional meteorological data of each grid cell in the multiple radar overlapped coverage areas is determined according to the weight value of each radar and the three-dimensional meteorologicaldata of each radar. The method is advantaged in that the meteorological data of the overlapped grid cells are processed according to the radar weight values related to distance and resolution parameters, for the isomorphic radar network as well as the heterogeneous radar network, not only can fine-scale meteorological data characteristics be kept to the maximum degree, but also the continuous space radar mosaic result can be acquired, and the meteorological radar mosaic result is made to be more accurate.

The invention discloses a multifunctional networked radar task planning method based on a branch-and-bound method. The multifunctional networked radar task planning method adopts the branch-and-boundmethod of a tree structure to realize the traversing of a feasible solution of a problem, and introduces a pruning operation so as to reduce the computation amount significantly. The multifunctional networked radar task planning method can plan radar tasks with different parameters and priorities into radar units of a radar network, and ensures load balance of the radar units. Although an existingheuristic radar task planning method can complete the radar task planning, the existing heuristic radar task planning method can only acquire a suboptimal solution, and the computation cost is hard to estimate. Compared with the existing heuristic method, the total cost of a radar task planning scheme obtained by adopting the multifunctional networked radar task planning method is lower.

The invention discloses a networking radar residence time optimization control method based on radio frequency stealth. The method comprises the following steps of (1) an airborne radar network comprises N airborne two-coordinate phased array radars with synchronous space, time and frequency, Q uniform motion targets in a two-dimensional plane are tracked, and an observation model of the airborneradar network and a motion model of the targets are constructed; (2) a BCRLB of a target state estimation error during uniform motion target tracking is acquired, and a lower bound of a target position estimation mean square error is extracted from the BCRLB to serve as a measurement index of target tracking precision; (3) according to a predicted echo signal-to-noise ratio, the predicted detection probability of the airborne radar network for the tracked targets is calculated; (4) an optimization control model for minimizing airborne radar network residence time is constructed, and on the premise that the predicted tracking precision and the predicted detection probability of all the targets meet constraint conditions, the total residence time of the airborne radar network is minimized; and (5) a two-step decomposition method is adopted to solve the optimization control model.

The invention discloses a multistation radar asynchronous multiframe joint detection method, and belongs to the field of radar target detection. The method comprises the steps that the joint generalized log-likelihood ratio is calculated through multiframe asynchronous echo data provided by multiple radar stations in a radar network at each moment, and then a group of state sequences enabling the joint likelihood ratio to be maximum are found by solving an optimization problem to serve as estimation on target track. In addition, by combining a viterbi algorithm, the optimization problem can be quickly and efficiently solved, the detection real-time performance of the algorithm is guaranteed, and the dim target detection probability of a system and the detection performance of the radar system are improved.

The invention discloses a radar networking vertical line crossing integration positioning method and an error calculating method thereof. The radar networking vertical line crossing integration positioning method comprises two parts: a vertical line crossing integration positioning method and an error calculating method of the vertical line crossing integration positioning method. The radar networking vertical line crossing integration positioning method and the error calculating method thereof are applied to a radar networking system to realize data fusion and intelligent decision-making assisting, so that the target positioning and tracking accuracy of the networking system can be improved, the error calibration accuracy of the networking system can be enhanced, and spatial distribution of detection accuracy of the networking system can be evaluated.

The invention discloses a deployment method for launching a radar and receiving the radar in a dual-radio radar network. The method includes the following steps of (A) randomly selecting M initial positions for launching the radar and N initial positions for receiving the radar, and conforming a moving distance threshold Th d1 of launching the radar and receiving the radar; (B) fixing the M positions for launching the radar, deploying the N positions for receiving the radar through a random Veno algorithm, and updating the N positions for receiving the radar; (C) fixing the N positions for receiving the radar, deploying the M positions for launching the radar through the random Veno algorithm, and updating the M positions for launching the radar; (D) repeating the step B and the step C until a moving distance of launching the radar and receiving the radar is smaller than the Th d1. According to the deployment method for launching the radar and receiving the radar in the dual-radio radar network, the deployment problems of launching the radar and receiving the radar are divided into two sub problems, then optimization design is conducted on the sub problems respectively, at last that deployment of launching the radar and receiving the radar is achieved through solving of the two sub problems repeatedly and iteratively, and the method is effective and low in time complexity.

The invention provides a multi-radar networking device and multi-directional target detection method. The device comprises multiple radars and an upper computer; the radars are interactively connectedwith the upper computer; each radar is provided with a GPS module, an electronic compass module and an automatic learning module, the radar is used for detecting a target and reporting the target information of the radar to the upper computer, and the GPS module is used for positioning the longitude and latitude information of the radar and reporting the longitude and latitude information of theradar to the upper computer via the radar; the electronic compass module is used for detecting the azimuth information of the radar and reporting the azimuth information of the radar to the upper computer via the radar; and the automatic learning module is used for automatically learning a surrounding environment and setting different thresholds for different distance units of the radar. Detectionin multiple directions is achieved, the problem that the azimuth range is limited when the radar is used for detecting the target is solved, and the dead angle of the radar is avoided.

The invention provides an authentication method based on object doppler velocity estimation and aims at addressing the problem of deteriorating authentication effects along with the increasing intensity with the false objects in the course of authenticating intense distance false object interference by a radar. The method includes the following steps: firstly selecting a standard radar and conducting measurement grouping pre-processing, converting other networking radar object measurement to a standard radar local coordinate system and conducting measurement association based on position information in order to rule out irrelevant false measurement and noise wave and at the same time reduce calculation; then estimating an object doppler velocity based on the position information measured after the coordinate conversion, conducting authentication in accordance with the standard radar doppler velocity measurement so as to authenticate the false object. Compared with classical authentication methods which associate based on position information, according to the invention, the method herein can guarantee high authentication rate of true and false object under circumstances when intensity from the multiple false object is greater.

The invention relates to a UAV network radar interference suppression method based on resource allocation and power control, and belongs to the technical field of UAV network and radar interference suppression. The method specifically comprises the following steps: step one, traversing all UAVs based on a GCAA method, allocating channels to the UAVs, and generating a channel allocation initial scheme; step two, performing power control based on a geometric programming method to maximize a minimum SINR value of a UAV network radar echo signal; step three, enabling the search space of a channelallocation matrix C to be equivalent to a K-tree; step four, performing branching and delimiting based on breadth-first search to generate an improved channel allocation scheme; and step five, judgingwhether the value is converged or reaches the maximum number of iterations, if so, ending the method, and otherwise, skipping to the step two. The method can effectively suppress the interference problem of the UAV radar network, the minimum SINR of the echo signal is significantly improved, and the detection capability of the UAV network for a long-distance target is effectively improved.