244 results about "Radar beam" patented technology

The invention provides an automatic target identification and tracking method and system for an intelligent pod. The method relates to an automatic target identification and tracking method of an intelligent pod, and comprises the following steps: generating a three-dimensional point cloud through radar array scanning, clustering adjacent points into a point cloud cluster of an independent target, and extracting motion parameters; when the pod moves, the radar beam direction is adjusted according to the target position. And registering the point cloud cluster with the optical image, establishing a cross-modal association identifier for the occlusion target in combination with the geometric features of the point cloud and the visual features of the image, updating the trajectory of the occluded target according to the cross-modal association identifier, and realizing continuous tracking. The invention relates to automatic target identification and tracking of an intelligent pod. Through cross-modal data fusion of radar and vision, continuous recognition and trajectory tracking of the shielded target by the intelligent pod are realized, and the target tracking robustness in a complex environment is improved.

The invention relates to the technical field of unmanned aerial vehicles, and particularly discloses an unmanned aerial vehicle millimeter wave radar detection system and method and an unmanned aerial vehicle, and the system comprises a millimeter wave radar module which is used for executing multiple detection tasks and detecting the distance, speed and angle information of a target object, and has the functions of beam scanning and signal transmitting and receiving; the signal processing module is used for processing the received radar echo signal, performing target object detection and positioning through signal analysis, and generating a target positioning result; the target tracking module is used for tracking the target according to the target positioning result and the sensor data of the unmanned aerial vehicle; the method improves the signal intensity and detection distance in different detection environments by optimizing the direction and focusing of radar beams in real time, effectively eliminates noise interference through the Kalman filtering and particle filtering technology, accurately estimates the distance, speed and angle information of a target, and improves the detection accuracy through combining a deep learning algorithm and an adaptive filtering strategy. And processing details of the radar echo signals are dynamically optimized.

The invention relates to a weather radar beam shielding rate calculation method based on temporal-spatial resolution improvement, belongs to the field of radio, realizes adaptive precise temporal-spatial matching of meteorological unmanned aerial vehicle sounding data and ECMWF forecast data under different weather echo types, realizes calculation of spatial distance in grids in an expansion field, and improves the weather radar beam shielding rate. The method realizes preliminary extraction of spatial-temporal characteristics, constructs a self-attention mechanism model fused with physical perception, successfully generates a high-spatial-resolution atmospheric temperature, atmospheric relative humidity and atmospheric pressure data set, realizes generation of the high-spatial-temporal-resolution atmospheric temperature, atmospheric relative humidity and atmospheric pressure data set, and improves the spatial-temporal-resolution atmospheric temperature, atmospheric relative humidity and atmospheric pressure data set. Accurate calculation of the beam ray propagation path of the high-temporal-spatial-resolution radar is achieved, calculation of the shielding orientation and the maximum elevation angle of a shielding object in each orientation ray beam block is achieved, finally, a beam shielding power integral calculation model is introduced, and accurate calculation of the weather radar beam shielding rate is successfully achieved.

The invention belongs to the technical field of radar beam control, and discloses a beam control system and method applied to a satellite-borne phased array radar antenna array plane. A hierarchical control architecture is adopted, computing resources are reasonably distributed, the beam conversion time is shortened, and universality is achieved; according to the invention, a main and standby circuit cross hot backup, series connection and parallel connection combined form is adopted at a sub-array wave control unit level, so that the number of output signals of a wave control extension set is reduced, and the system cost is reduced; component-level temperature amplitude phase compensation can be achieved, the component wave control chip collects temperature in real time and sends the temperature to the wave control unit through a BIT channel, and the wave control unit completes calculation compensation; according to the invention, subarray-level deformation phase compensation can be realized, and the wave control unit realizes deformation phase compensation at the subarray level according to the subarray deformation quantity measured by the deformation measurement system.

The invention relates to a radar synthetic wind speed resolving method, device and equipment and a storage medium, and is applied to the field of radar speed measurement, the radar synthetic wind speed resolving method comprises the steps that radar sight wind speed and the rotation angle of a radar are acquired, and the rotation angle is the angle of a radar roll angle; performing radar beam azimuth calculation according to the rotation angle to obtain a radar beam vector; and performing synthetic wind speed calculation according to the radar sight wind speed and the radar beam vector, and generating scalar wind speed and wind direction. The method has the technical effect that the calculation accuracy of the synthetic wind speed is improved.

The invention relates to a networking radar multi-target tracking beam allocation method and system for resisting multiple jammers, and the method comprises the steps: building a model; obtaining a signal to interference and noise ratio of each radar node receiving end after main lobe and side lobe interference step-by-step suppression, and establishing a covariance matrix of radar node estimation target parameters; calculating a covariance matrix of radar node estimation target parameters, and obtaining a tracking result of the networking radar on each target; representing target tracking precision through a posterior Cramer-Rao lower bound, establishing a cost function for each target, summing the cost functions of the targets as a target function, and establishing an adaptive scheduling multi-radar tracking beam optimization model in combination with radar beam constraint conditions; and solving the adaptive scheduling multi-radar tracking beam optimization model. The invention provides a networking radar tracking multi-target beam allocation method and system for resisting multiple jammers, which can effectively suppress interference and stably track targets in the whole process.

The invention discloses a wind measurement radar attitude angle depolarization estimation and correction method, which comprises the following steps: acquiring original wind field data acquired by a wind measurement radar, including a horizontal wind speed, a horizontal wind direction and a vertical wind speed; performing quality control on the original wind field data, removing invalid samples and screening effective wind speed data; constructing an error model based on the ratio of the vertical wind speed to the horizontal wind speed, and establishing a mapping relation between the ratio and the horizontal wind direction; estimating the attitude deflection angle of the radar by adopting a robust fitting method, including data density weighting and robust fitting processing, so as to improve the estimation stability and the anti-interference capability; based on the estimated attitude deflection angle, performing coordinate transformation on a radar beam direction, correcting a wind field inversion result, and outputting corrected three-dimensional wind speed data; the wind speed measurement precision is improved.

The invention belongs to the technical field of phased array radar intermediate frequency simulation, and discloses an intermediate frequency simulation method of a phased array radar, which comprises the following steps: carrying out time sequence anti-interference stabilization processing on beam scheduling information output by the phased array radar in real time to obtain a stable scheduling signal; performing domain division signal feature analysis of a beam pointing domain, a target trajectory domain and a resource allocation domain to obtain a sum path signal parameter, an azimuth difference path signal parameter and a pitch difference path signal parameter; performing coupling relevance verification according to the sum-path signal parameters and the actually measured echo data to obtain an operation abnormity judgment result; when the operation abnormity judgment result indicates that the intermediate frequency injection signal has a fault, performing signal track replacement compensation processing based on the azimuth difference path signal parameter and the pitch difference path signal parameter to obtain a target intermediate frequency simulation signal; performing radar tracking and search mode optimization, and outputting a phased array radar beam control instruction; and the tracking precision of the phased array radar on a complex tracking scene is improved.

The invention relates to the technical field of flight simulation, provides a multispectral fusion flight simulation terrain generation method, system and device, and a storage medium, and solves the problem of low accuracy of flight simulation terrain generation. The method comprises the following steps: screening a target multispectral image of which the cloud coverage rate is lower than a set threshold value and target synthetic aperture radar data of a corresponding time window; extracting terrain edge features, dynamically adjusting a radar beam incident angle, and generating point cloud data with non-uniform resolution; a double-branch processing model is constructed, a first branch processes the target multispectral image, a second branch processes the point cloud data, and fusion features are obtained through a weighting mechanism; dynamically associating the vegetation index distribution of the terrain area to be measured with the elevation information in the fusion features to generate a space-time dynamic mapping result; and based on a space-time dynamic mapping result, generating a three-dimensional flight simulation terrain model with a semantic tag for planning a flight simulation path. The accuracy of flight simulation terrain generation is improved.

The invention discloses a networking radar collaborative deception jamming decision-making method based on multi-agent reinforcement learning, and the method comprises the steps: firstly building a networking radar collaborative verification model, carrying out the verification and fusion of a networking radar, building a multi-agent collaborative deception jamming networking radar strategy optimization model, and carrying out the verification and fusion of the networking radar. A multi-agent collaborative deception jamming decision-making problem oriented to the networking radar is described as a distributed Markov decision-making process, and finally a strategy of the multi-agent collaborative deception jamming networking radar is solved by adopting an ADM-MATD3 reinforcement learning algorithm. According to the method, the intelligent agent can learn the difference between different feasible strategies in a radar beam, the strategy search efficiency is improved, the accurate strategy is output, and compared with an existing multi-intelligent-agent reinforcement learning algorithm, the method has the advantages of higher convergence speed, higher solving efficiency, higher decision feasibility and higher robustness. The problem of multi-agent collaborative deception jamming networking radar strategy optimization is effectively solved, and the jamming effect is remarkably improved.

A radar-enabled wireless communication device is configured to communicate with a wireless communication network and performs radar transmissions determine whether there are any neighboring wireless communication devices that are vulnerable to interference from the radar transmissions and, if so, adapt radar transmissions in the affected radar beam directions or transmit assistance information enabling the vulnerable devices to mitigate or avoid the interference.

The invention discloses a phased array radar signal processing system with deterministic delay, and relates to the technical field of semiconductors, the system carries out equal-length wiring design on a link in a hardware level, a timestamp marking circuit is embedded in the link, a core processing module carries out multi-channel data alignment based on timestamp marks in a software level, and the data alignment is carried out based on the timestamp marks. The multi-channel data transmission delay deviation is solved through elastic buffer control, the most reasonable buffer depth and release phase parameters are determined through calculation, and therefore the buffer delay is minimized, the system achieves deterministic minimum delay through software and hardware collaborative design, data alignment and quick response are guaranteed, and the system is suitable for large-scale popularization and application. Low-delay and high-consistency transmission and processing of multi-channel signals are achieved, so that high-precision pointing control of radar beams and time consistency of multi-target tracking are achieved, and the high-synchronization and low-jitter requirements of phased array radar for high-speed signal processing are met.

Due to the fact that the space and the loading capacity of a quadrotor unmanned aerial vehicle platform are limited and a radar and the unmanned aerial vehicle are installed in a hard connection mode, attitude changes and motion errors of the unmanned aerial vehicle platform can be directly transmitted to the radar, radar beams have large deviation and shaking in the imaging working process, motion error compensation is difficult, and the imaging efficiency is high. Therefore, the SAR image quality is reduced. Therefore, the utility model provides a six-rotor unmanned aerial vehicle-mounted 77GHz millimeter wave radar imaging device with a three-axis servo stability augmentation holder, which comprises a six-rotor unmanned aerial vehicle, a 77GHz millimeter wave radar and the three-axis servo stability augmentation holder. As the unmanned aerial vehicle platform and the millimeter-wave radar are connected and installed through the three-axis servo stability augmentation holder, the influence of the attitude change and the motion error of the six-rotor unmanned aerial vehicle platform on the millimeter-wave radar can be effectively reduced, the stability of the beam pointing of the millimeter-wave radar in the imaging process is ensured, and the purpose of improving the SAR imaging quality is further achieved.

The invention relates to the technical field of rainstorm and flood disaster assessment, and particularly provides a rainstorm and flood disaster assessment method and system based on multi-scale rainfall data, and the method comprises the steps: obtaining a digital elevation model of a target region, calculating a terrain curvature distribution field and an elevation mutation characteristic field, a terrain vertical gradient zone is obtained, and multiple layers of ground precipitation observation station point groups are arranged; generating a vertical weight factor according to observation station altitude distribution, and combining a radar beam direction and a terrain slope to generate a slope direction shielding coefficient; fusing ground-based radar, satellite remote sensing and ground station data, and generating a terrain optimization precipitation field through a vertical weight factor and a slope shielding coefficient; and inputting the precipitation field into the terrain coupling flood model, and deducing disaster space distribution in combination with a water flow path network and a soil infiltration correction mechanism. According to the method, the problem of observation distortion caused by terrain shielding and rainfall vertical differentiation in alpine and valley areas is solved, and the precision and reliability of rainstorm flood disaster assessment are remarkably improved.

The invention relates to the technical field of wireless communication, and particularly discloses a beamforming optimization method of an active-RIS (Radio Information System) assisted integrated sensing communication and energy transfer system, which aims at maximizing radar sensing SINR (Signal to Interference plus Noise Ratio) weighted sum in an active-RIS assisted multi-integrated sensing communication and energy transfer system. Constructing a non-convex optimization problem by taking an SINR demand of a communication user, an energy acquisition demand of an energy receiving user and power constraints of a base station and an Active RIS as constraint conditions; after the constructed non-convex optimization problem is decomposed into sub-problems of a receiving filter coefficient, MFBS transmitting beam forming and an active-RIS reflection coefficient, alternate iterative optimization is carried out, so that the transmitting power of the MFBS can be reasonably distributed to communication and radar beams, and the active-RIS is controlled to select an optimal reflection phase and an amplification coefficient. Therefore, under the condition that the SINR requirement of the communication user, the EH requirement of the energy receiving user and the power constraint are met, the multi-target sensing performance of the radar is effectively improved, and meanwhile the communication quality and the energy transmission efficiency are guaranteed.

The invention relates to the technical field of laser radars, and discloses a laser radar beam scanning path optimization and energy efficiency management method based on an FPGA, and the method comprises the following steps: S1, collecting the point cloud data and obstacle distribution information of a target region in real time through an environment sensing module; s2, generating a dynamic scanning path based on space partition, and generating a self-adaptive spiral scanning path for avoiding obstacles; s3, executing multi-parameter collaborative energy efficiency adjustment, and dynamically matching the laser transmitting power, the receiver gain and the MEMS driving voltage; and S4, synchronously outputting the optimized scanning path and the energy efficiency instruction to a laser driving circuit and a light beam deflection controller through a hierarchical scheduling module of the FPGA. A detection area is divided into priority grids through an FPGA, a self-adaptive spiral scanning path is generated, a hardware-level sudden obstacle avoidance algorithm is utilized, the response time is shortened to be smaller than or equal to 5 ms, and the integrity of point cloud data is ensured.

The invention relates to a phased array radar reflectivity factor simulation method based on sparse sounding data, belongs to the field of radio, designs a sparse reconstruction simulation scheme based on acquired multi-point multi-height-layer sparse sounding data, and realizes high-quality restoration and three-dimensional continuous field construction of original sparse observation data. A multivariate dictionary base matrix is constructed; through a sparse representation theory and a Bayesian optimization model, a sparse coefficient reflecting rainfall essential characteristics is obtained, and high-spatial-resolution reconstruction of a temperature and humidity field and a rainfall micro-physical parameter field is realized. Thereafter, a meteorological parameter-driven phase judgment and probability field calculation model is constructed, and three-dimensional simulation of liquid, solid and mixed rainfall echoes is realized. And finally, calculating a unit direction vector and an azimuth guidance coding matrix of a beam ray of the phased array radar, introducing a radar volume scanning data implicit sampling simulator, and realizing high-precision reflectivity factor simulation of the phased array radar in a three-dimensional scanning mode.

The invention relates to a cloud detection method based on combination of a laser radar and a microwave radar, and belongs to the field of radio. The detection method comprises the steps that a coordinate system where a laser radar radiation antenna is located is used as a reference, and system pointing angle deviation caused by the installation position of a microwave radar extension set is corrected in the mode that angle tracking parameters are calculated according to laser-microwave radar extension set antenna installation differences, and scanning space angle synchronization is guaranteed; time synchronization is guaranteed by controlling the time of a radar terminal issuing a control signal to a laser radar extension set and a microwave radar extension set, so that radar beams arrive at meteorological particle echo information to be consistent; after the radar terminal collects data, characteristic parameter extraction and data fusion are carried out on the composite observation data of the laser radar and the cloud radar. According to the method, the problem of target angle deviation caused by spatial distribution difference of the laser radar and the microwave radar during composite observation of the laser-microwave radar system is solved, and the consistency of observed targets is improved.

The invention relates to the technical field of intelligent sensors, in particular to an unmanned aerial vehicle track intelligent tracking method based on a millimeter-wave radar, which comprises the following steps: receiving echo signals collected by the front end of the millimeter-wave radar, carrying out constant false alarm rate detection and Doppler frequency shift extraction on the echo signals, generating an unmanned aerial vehicle target space coordinate set, and carrying out target tracking on the unmanned aerial vehicle. And mapping the target space coordinate set of the unmanned aerial vehicle to a three-dimensional Euclidean space. According to the method, a non-convex optimization objective function containing beam switching time cost and precision constraint is constructed, and mathematical optimal solution of radar beam resources is realized. The generated adaptive scheduling instruction is used for adjusting the pulse repetition frequency and the beam residence time, it is ensured that radar front-end parameters dynamically evolve along with the target state, overall centroid tracking is emphasized for rigid body formation so as to save resources, independent high-frequency refreshing is emphasized for discrete targets so as to ensure the precision, and the accuracy is improved. And the continuity and robustness of trajectory tracking of the unmanned aerial vehicle in a complex electromagnetic environment are improved.

The invention belongs to the technical field of radar imaging and unmanned system integration, and particularly relates to a synthetic aperture radar imaging system and an unmanned aerial vehicle array SAR image detection method. The unmanned aerial vehicle array SAR image detection method comprises the following steps: S1, issuing an array arrangement form, track design parameters and an imaging mode to a main control unmanned aerial vehicle; s2, the master control unmanned aerial vehicle reckons the position, spacing, flight path and beam direction parameters of each unmanned aerial vehicle; s3, issuing the baseband excitation parameter, the synchronization signal and the attitude control instruction to an unmanned aerial vehicle detection array; s4, the unmanned aerial vehicle detection array synchronously transmits radar beams and receives target echoes, and echo data is transmitted back to the signal processing node; and S5, performing coherent processing by the signal processing node, performing SAR image signal processing, and returning a target image to a ground system. According to the method, coherent synthesis of echo received by multiple front unmanned aerial vehicles and high-resolution image generation are realized, and an image result can be used for tactical identification or geographical situation perception display.

The invention relates to a radar antenna device (1) for a vehicle (20), comprising a composite window pane (2) and at least one radar device (13) configured to transmit and / or receive a radar beam (6). The at least one radar device (13) comprises a corresponding antenna unit (5) and a corresponding amplifier unit (12). The amplifier unit (12) is configured to provide an electrical drive signal (8) to the antenna unit (5) and / or to receive an electrical echo signal (9) from the antenna unit (5). The invention provides that the antenna unit (5) is arranged in the composite window pane (2) of the vehicle (20), the amplifier unit (12) is arranged on a surface of the composite window pane (2), and the antenna unit (5) and the amplifier unit (12) are spatially separated from each other and are electrically conductively connected to each other via a connecting element (11) arranged in the composite window pane.

The invention discloses a time-discrete phased array radar beam gain scheduling method, and belongs to the field of radar resource scheduling. Firstly, scheduling revenue functions of all tasks in a scheduling time slot are established; decomposing each task into a plurality of sub-tasks executed at starting moments of different time slices, and calculating the scheduling income of each sub-task; then, according to the principle that the execution time of each task does not intersect with each other and the sub-tasks decomposed by the same task are mutually exclusive, a mutual exclusion matrix is established, and a scheduling problem is converted into a minimum weighted independent set problem in a graph theory; and finally, solving the problem by using a continuous Hopfield neural network to obtain a scheduling result. The method is mainly used for the phased array radar to reasonably allocate the beam residence resources for different tasks under the condition that the time resources are limited, the urgency and timeliness of all the tasks in the scheduling time slot can be considered, the beam residence sequence is globally optimized, hardware parallel computing is facilitated, and good scheduling benefits can be obtained at low time cost.

The invention relates to the technical field of roll angle measurement, in particular to a dynamic roll angle measurement method based on an antenna intensity change trend, and the method comprises the steps: designing a phased array radar beam, carrying out the target tracking of a missile body, obtaining an expected signal in real time, and obtaining a receiving signal, reflected by an antenna on the missile body, of each array element after the signal is transmitted; calculating a disorder coefficient of each modal component; determining an interference coefficient of each array element at the current moment; determining a step length parameter of a minimum mean square algorithm at the current moment; based on the expected signal and the step length parameter, in combination with a minimum mean square algorithm, adjusting the beam direction of each array element transmitting signal in real time; and each array element performs signal emission according to the adjusted emission signal, and the roll angle of the projectile body is measured according to the condition that the intensity of the signal received by the antenna on the projectile body has a minimum value. According to the invention, the step length parameter in the least mean square algorithm is dynamically adjusted, and the precise measurement of the roll angle of the projectile body is improved.

The utility model discloses a water conservancy surveying water level gauge which comprises a bottom plate, a base is arranged below the bottom plate, a fixing bolt penetrates through the upper portion of the bottom plate, a supporting frame is fixed to the upper portion of the bottom plate, a motor is installed above the supporting frame, a lead screw is installed in the supporting frame, and a sliding block is installed on the outer side of the lead screw. According to the water conservancy surveying water level gauge, through cooperative use of the supporting frame, the motor, the lead screw, the sliding block and the cross rod, the motor drives the lead screw to rotate and drives the sliding block to slide on the outer side of the lead screw, the cross rod can be driven to move up and down, and therefore the height of the radar water level gauge is adjusted, and the distance between the radar water level gauge and the water surface is kept at a proper height; the radar water level gauge is prevented from being submerged when the water level of a river is too high, and when the radar water level gauge is submerged, radar beams may be interfered by impurities, bubbles and other factors in a water body, signal attenuation is caused, and the measurement precision is influenced, and the water level exploration precision can be ensured.

The application discloses a kind of cross array ballistic measurement radar beam scheduling and task allocation method, to improve the target acquisition and tracking efficiency of radar system.The present application is based on cross array antenna, and two kinds of beam scheduling modes are designed:TWS mode and TAS mode;TWS mode allows radar to track the target captured in real time while searching for targets, suitable for occasions handling multiple targets;While TAS mode first searches comprehensively, then tracks the target of interest, effectively avoids multiple beam emission to no target area.Radar can identify and capture targets in the shortest time, improve response speed;After target track is generated, radar can track targets in real time, ensure the accuracy of data;Reduce the number of invalid beam emission, improve resource utilization efficiency.System can dynamically adjust beam scheduling strategy according to target, so as to realize fast acquisition and accurate tracking target, optimize resource utilization efficiency.

Testing and / or calibration setup for testing and / or calibrating sensors (2, 3, 4) of an automated vehicle (5, 5'), comprising at least one movably mounted marker device (6, 6') for, in particular passive, information transmission to the automated vehicle (5, 5'), wherein the marker device (6, 6') has at least one lidar and / or radar information unit (7) which is provided to emit intensity-variable radiation for transmitting coded information as a function of an angle of incidence (8) of a laser beam (9) and / or a radar beam.

The application discloses an ISAC system security transmission method for an illegal RIS scene, and the method constructs an ISAC system based on RIS assistance to simultaneously complete communication and sensing tasks. The sensing signal can effectively interfere with the IRIS-assisted eavesdropping link while completing the sensing task. In order to more effectively cope with the system security performance deterioration challenge brought by IRIS, a beamforming matrix of the radar signal is designed. Considering the uncertainty of the accurate position of the eavesdropper (Eve), the ergodic security rate is used to represent the security performance of the system, and an approximate ergodic eavesdropping rate is derived. In order to efficiently solve the two non-convex optimization problems, the ergodic objective function is appropriately converted, and then an efficient alternating optimization algorithm is proposed to solve each optimization variable. It is verified that the joint beamforming and RIS reflection design of the application is more effective in coping with the eavesdropping process of IRIS, and it is revealed that the radar beamforming design plays a key role in alleviating the influence of IRIS.

A method of sensing an environment using a radar system includes applying a progressive phase shift between a plurality of antenna elements of the radar system, recording a signal return level of a bi-directional radiation pattern while applying the progressive phase shift, where the progressive phase shift moves a main lobe to a position outside an optical axis and increases a signal return level of at least one side lobe, and the signal return level of the at least one side lobe. And detecting at least one object at a position off-axis offset from the visual axis based on the increased signal return level of the at least one sidelobe.

The present invention discloses a design method for joint trajectory and beamforming in a synaesthesia-integrated unmanned aerial vehicle (UAV) network, relating to the field of UAV communication and perception integration technology. The method includes: constructing a network scenario; constructing a model of the communication process between the UAV and ground users, and constructing a model of the perception process between the UAV and ground detection targets; establishing constraints for the UAV communication process model and the UAV perception process model; constructing an optimization problem for the radar beam pattern in the UAV perception function; constructing an optimization problem for the UAV trajectory and beamforming in the communication and perception integration scenario based on the constraints and the radar beam pattern optimization problem; simplifying the UAV trajectory and beamforming optimization problem; and solving the UAV trajectory and beamforming optimization problem based on the Riemann conjugate gradient algorithm to obtain the UAV flight trajectory and beamforming matrix. This application provides a highly reliable algorithm for UAVs to plan paths and beams.

The present invention discloses a method and device for statistically calculating the biological migration flux of insect radar, belonging to the technical field of insect radar, which solves the problem of statistical error caused by the deviation of the position of insect movement from the beam normal line, and helps to improve the accuracy of statistical calculation of insect migration flux. The technical solution of the present invention is as follows: In the vertical measurement mode, a statistical method model for insect migration flux is established, and the statistical unit (k,n) is defined; the actual distance that all insects pass through the beam is obtained; an estimation model of the radar beam and the position where the migrating insects pass through the beam is established, and the deviation parameter is obtained based on the longest distance that the target passes through the beam and the actual distance that the target passes through the beam; the statistical method is used to estimate the insect migration flux, and the flux statistical results of different altitude layers are obtained. According to the expression of the migration flux in the fixed beam mode of vertical measurement and the flux statistical results of different altitude layers, the expression of the migration flux in the fixed beam mode of any direction and the flux statistical results of different altitude layers are obtained.