286 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.

A sensor system includes: a radar system configured to emit a radar beam and receive reflected radar signals from in a field of view of the radar system; a camera system including one or more cameras, at least one camera including a linear polarization filter in an optical axis of the camera, a field of view of the camera system overlapping the field of view of the radar system; and a processing system including a processor and memory, the memory storing instructions that, when executed by the processor, cause the processor to: receive radar data based on the reflected radar signals captured by the radar system; receive polarization raw frames captured by the camera system; and compute a track of a target in the field of view of the camera system and the field of view of the radar system based on the radar data and the polarization raw frames.

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 relates to a high-temporal-spatial-resolution weather radar beam propagation path inversion method, which belongs to the field of radar detection, and designs a more accurate temporal-spatial matching strategy by taking meteorological element data output by WRF as a background field and combining high-frequency radio sounding data. A neural network model capable of fully mining local and global spatial features of data is constructed, a long-time and short-time feature extraction and fusion model is constructed, efficient and accurate extraction of time and spatial features of different scales of meteorological elements is realized, an input data set time and spatial complexity calculation method is further designed, and the calculation efficiency is improved. The adaptive optimization selection of the convolution kernel is realized, the real-time performance of outputting high-temporal-spatial-resolution meteorological data based on the 3D temporal-spatial convolution model is greatly improved, the atmospheric refractive index model and the electromagnetic wave propagation path calculation model are introduced, and the inversion of the high-temporal-spatial-resolution and accurate weather radar beam propagation path is realized.

The invention relates to a single-rail InSAR-based mining area large-gradient deformation three-dimensional calculation method, which comprises the following steps of: performing interference processing on InSAR data to obtain an interference pattern, acquiring mining area earth surface deformation by a prediction or actual measurement method, and converting the mining area earth surface deformation into a deformation phase as a reference phase; removing a reference phase from an InSAR interferometric phase to obtain an interferogram residual wrapping phase with reduced fringe density and reduced unwrapping difficulty; unwrapping the residual winding phase to obtain a residual phase, and superposing the residual phase with the reference phase to realize the repair of the InSAR deformation phase; deducing a surface movement vector depression angle function; based on the earth surface point movement vector depression angle function, the earth surface point horizontal movement vector direction and the radar beam LOS direction space parameters, the expression of the included angle between the LOS direction and the earth surface movement vector is solved, and earth surface three-dimensional deformation is solved through monorail InSAR deformation.

The invention relates to a radar antenna arrangement (1) for a vehicle (2), comprising at least one vehicle component (3), wherein the radar antenna arrangement (1) comprises a plurality of radar devices (4) which are configured to transmit and / or receive a radar beam (12). The radar devices (4) are arranged on a component surface (5) of the vehicle component (3). The invention provides for the radar antenna arrangement (1) to comprise at least one antenna row (6) for determining an azimuthal angle (10) of the radar beam (12), said antenna row comprising a plurality of the radar devices (4). Directly adjacent radar devices (4) have respective horizontal distances (8) from one another. The radar antenna arrangement (1) comprises at least one antenna column (7) for determining an elevation angle (11) of the radar beam (12), said antenna column comprising a plurality of the radar devices (4). Directly adjacent radar devices (4) have respective vertical distances (9) from one another. The at least one antenna row (6) and the at least one antenna column (7) include an angle α of between 5 degrees and 180 degrees.

A method and apparatus for an angle meter cooperatively using two or more non-contact distance meters for measuring distances to a surface along substantially parallel lines. The measured distances are used for estimating or calculating the angle to the surface and the distance to the surface. The distance meters may use optical means, where a visible or non-visible light or laser beam is emitted and received, acoustical means, where an audible or ultrasound sound is emitted and received, or an electro-magnetic scheme, where radar beam is transmitted and received. The distances may be estimated using a Time-of-Flight (TOF), homodyne or heterodyne phase detection schemes. The distance meters may share the same correlator, signal conditioning circuits, or the same sensor. Two or more angle meters may be used defining parallel or perpendicular measurement planes, for measuring angles between surfaces, and for estimating physical dimensions such as length, area or volume.

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 hybrid beam forming method based on a terahertz large-scale MIMO-ISAC system, and belongs to the technical field of wireless communication. The method comprises the following steps: firstly, determining channel state information of a base station side and a user side and the direction of a target; solving an optimal communication beam former and an optimal radar beam former according to the channel state information and the target user direction; combining the communication performance index-spectrum efficiency and the radar performance index-space spectrum matching error by using a weight factor to construct an optimization problem; then, the optimization problem is converted into Euclidean distance minimization, in the process, unitary matrix assistance is introduced, and an optimal communication beam former, an optimal radar beam former and a hybrid beam former are unified to the same dimension; and finally, solving the hybrid beam former by adopting an alternating optimization algorithm. According to the invention, high energy consumption caused by hardware introduction is reduced, high array gain loss caused by a beam splitting effect is eliminated, and the implementation mechanism is simple.

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.

A method and apparatus for an angle meter cooperatively using two or more non-contact distance meters for measuring distances to a surface along substantially parallel lines. The measured distances are used for estimating or calculating the angle to the surface and the distance to the surface. The distance meters may use optical means, where a visible or non-visible light or laser beam is emitted and received, acoustical means, where an audible or ultrasound sound is emitted and received, or an electro-magnetic scheme, where radar beam is transmitted and received. The distances may be estimated using a Time-of-Flight (TOF), homodyne or heterodyne phase detection schemes. The distance meters may share the same correlator, signal conditioning circuits, or the same sensor. Two or more angle meters may be used defining parallel or perpendicular measurement planes, for measuring angles between surfaces, and for estimating physical dimensions such as length, area or volume.

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 discloses a phased array radar beam scanning control method, device and equipment, and the method comprises the steps: projecting a search airspace to a plane where a phased array radar array is located, so as to convert the search airspace into a sinusoidal waveform search region under a sine space coordinate system; carrying out beam position arrangement on the sinusoidal waveform search area under the sine space coordinate system, dividing the sinusoidal waveform search area into a first area and a second area according to the farthest detectable distance, arranging the beam width in the first area as a first width, arranging the beam width in the second area as a second width, and arranging the beam width in the second area as a second width; the first area and the second area respectively correspond to a detection area with the farthest detectable distance and a detection area with the distance smaller than the farthest detectable distance, and the first width is smaller than the second width; and controlling the phased array radar to perform beam scanning according to the determined beam position arrangement mode. According to the invention, the search airspace coverage rate in the radar search process can be improved, so that the radar target detection performance is improved.

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.