109 results about "Beamforming algorithm" patented technology

The invention discloses a wireless communication anti-interference method and system based on data analysis, and belongs to the technical field of communication anti-interference, in the wireless communication anti-interference method and system based on data analysis, the active defense capability of the system to unknown interference is improved through virtual interference generation and physical suppression by linkage cooperation of a generative adversarial network and an adaptive beam forming algorithm. The generator continuously simulates a novel interference signal injection training environment, so that a beam forming algorithm learns in advance to form accurate null in an interference direction, and the response time when actual interference occurs is greatly shortened. Meanwhile, interference space features detected by the beam forming module in an actual scene reversely optimize a signal construction rule of the generator, and the matching degree of a generated sample and a real electromagnetic environment is enhanced. The dynamic mutual promotion mechanism not only enhances the timeliness of interference suppression, but also reduces the problems of signal quality fluctuation and excessive consumption of hardware resources caused by passive response in the traditional scheme.

The invention relates to a microphone array sound source positioning method and system based on cross-correlation-beam forming closed-loop optimization, and belongs to the technical field of sound source positioning. The method comprises the following steps: collecting multichannel sound signals through a microphone array and preprocessing the multichannel sound signals to extract time-frequency features and suppress noise interference; time delay information among the microphones is estimated by adopting a generalized cross-correlation phase transformation algorithm, and an optimization strategy is introduced to improve estimation stability and anti-interference performance; enhancing the target sound source signal in combination with a minimum variance undistorted response beam forming algorithm and an adaptive Kalman filtering mechanism; constructing a closed-loop feedback optimization mechanism based on the beam output signal to realize feedback adjustment; and adopting a hybrid network architecture, taking the beam output signal amplitude spectrum as input, and outputting the frequency spectrum or mask of the obtained target sound source signal. The method has the advantages of high calculation efficiency, high positioning precision and strong anti-interference capability, and is suitable for real-time acoustic signal processing in a complex environment.

The invention discloses a high-feature-resolution underwater weak target parameter estimation method based on NOMP, and the method comprises the steps: obtaining a receiving array signal, carrying out the preprocessing of the receiving array signal, carrying out the azimuth angle estimation through employing a conventional beam forming algorithm, and extracting a beam output signal in a main target direction; rough search is carried out on discrete time delay and Doppler factor grids, initial parameters of a current most significant path are estimated, continuous optimization is carried out through a Newton iteration method, and optimized path parameters are obtained; constructing a continuous path echo signal according to the received signal, deducting the contribution of the current path to the received signal from the received signal, updating a residual signal, and continuously searching the next path by taking the residual signal as a new input signal until an iteration termination condition is met; and outputting parameter estimation results of all paths. According to the method, high-precision and high-resolution extraction of weak target parameters can be realized in an environment with a low signal-to-noise ratio and remarkable underwater multipath interference.

The invention relates to the technical field of voice recognition, in particular to an implementation method and device of a multi-channel voiceprint recognition system, and the implementation method comprises the steps of multi-channel data acquisition and synchronization, signal preprocessing and enhancement, feature extraction and fusion, model training, real-time deployment and adaptive optimization. Compared with the problems that a traditional multichannel voiceprint recognition system depends on a fixed beam forming algorithm and an independent clock synchronization module, the synchronization error is large, manual parameter adjustment is needed for noise suppression, and generalization is poor, hardware-level clock synchronization is achieved through a PTP protocol, and the accuracy of noise suppression is improved. The method combines an end-to-end neural network to automatically learn noise distribution and a sound source space position, dynamically generates a beam forming weight, can improve the voice quality in a complex noise scene without manual intervention, remarkably reduces the interference of a synchronization error on sound source positioning, and enables the precision and stability of far-field voice enhancement to reach a new level.

The invention discloses a portable satellite communication station signal optimization method and system, relates to the field of wireless communication, and is used for synchronously realizing dynamic adaptive management of multiple scattering paths. The method comprises the following steps: generating an earth surface image through multi-modal detection data, and carrying out layered calibration on scattering intensity; identifying a high-reflection sub-region according to the surface image and the layered calibration information thereof, and performing unified management on high-reflection and weak echo paths; based on the gain, interference and angle information of the multiple scattering paths, performing sub-array division on the antenna array according to priorities; phase stepping correction is carried out on the antenna units of the sub-arrays, and emission excitation is combined in adjacent path coverage areas; through a dynamic power scheduling and beam forming algorithm, the direction gain of each sub-array is optimized and sidelobe leakage is controlled. According to the invention, synchronous management of high reflection and weak echo paths can be realized, and the dynamic adaptability to scattering scenes is improved.

The invention discloses a federal learning assisted RIS joint beamforming method based on SCA and ADMM, and relates to the technical field of mobile communication. The invention provides a joint beamforming algorithm based on continuous convex approximation (SCA) and alternating direction multiplier (ADMM) by using federated learning to assist RIS for communication. The iteration of federated learning is optimized by using an SCA algorithm, so that faster convergence is realized; the ADMM algorithm is used to optimize the base station active beamforming and the RIS passive beamforming, and the energy efficiency and the sum rate of the system are improved.

The invention provides an intelligent reflection surface assisted low-altitude unmanned aerial vehicle Doppler-polarization combined beam forming system, and relates to the technical field of low-altitude communication, and the system comprises an unmanned aerial vehicle-mounted communication platform, a ground base station, a distributed deployment intelligent reflection surface array and a cooperative control system. According to the method, a joint channel model capable of capturing high-speed movement and a polarization effect is constructed; a Doppler polarization combined sensing and beam forming algorithm based on the model is designed, and processing is carried out on an unmanned aerial vehicle platform and / or a base station side; an IRS reflection coefficient optimization strategy considering Doppler and polarization characteristics is provided; and a set of self-adaptive cooperative control mechanism is established. Through cooperative work among the unmanned aerial vehicle end, the base station end and the IRS, the system can effectively compensate the Doppler effect and intelligently reconstruct a propagation environment by using polarization information and by means of the IRS, so that high-reliability, strong-anti-interference and large-coverage wireless communication is realized in a complex low-altitude dynamic environment.

The invention provides a multi-arm spiral subarray cooperative adaptive acoustic imaging system and method. The system adopts a circular substrate to construct an Archimedes spiral array. The innovative dynamic processing strategy comprises low-frequency sub-array combination and aperture expansion, intermediate-frequency independent processing and load balance maintenance, and high-frequency cross-arm virtual focusing array construction. The key technology covers multi-channel dynamic sampling, frequency band conflict arbitration, phase compensation beam forming and confidence weighted fusion. In the data fusion stage, a blind area is eliminated by adopting Delaunay triangulation and radial basis interpolation, and edge features are reserved in combination with anisotropic diffusion filtering. A temperature-sound velocity correction model is integrated in the system, and delay summation, MVDR and compressed sensing hybrid beam forming algorithms are applied to real-time processing. The output unit generates a three-dimensional acoustic thermodynamic diagram fusing Gaussian smoothing and edge enhancement. According to the scheme, the spatial sampling efficiency is optimized through spiral topology, the resolution and precision in a complex scene are improved through a dynamic recombination mechanism, and the method is suitable for industrial monitoring and noise source positioning.

The invention provides a special high-throughput satellite communication terminal for electric power, and relates to the technical field of electric power communication, and the special high-throughput satellite communication terminal comprises a baseband processing module which is used for carrying out differential encryption processing on different types of electric power data; the high-throughput satellite radio frequency module is used for suppressing sidelobe interference while realizing automatic satellite beam tracking through a beam forming algorithm during satellite communication, and calculating the optimal transmitting power through a self-adaptive power regulation algorithm; the communication transmission module is used for presetting a data priority based on a priority mapping table during data transmission and preempting satellite beam resources according to the data priority; the electric power Internet of Things protocol adaptation layer is used for realizing conversion between an electric power dedicated protocol and a satellite IP protocol, differential coding compression of electric power data and interrupted transmission in a link; and the beam optimization module is used for dynamically optimizing the beam pointing angle based on the satellite orbit parameters and the terminal geographic position. According to the scheme, the coverage degree of electric power communication in remote areas can be improved, and the safety and reliability of data transmission are improved.

The invention relates to a broadcast emission signal optimization method based on multi-antenna cooperation, and the method comprises the steps: constructing a multi-antenna cooperation broadcast emission system which comprises a central control unit, a distributed antenna array, an environment perception module and a terminal feedback module; real-time channel state information (CSI) is collected through the environment sensing module, and a dynamic propagation environment map is constructed; and optimizing a radiation pattern of the antenna array by adopting a three-dimensional beam forming algorithm based on the propagation environment map. According to the multi-antenna cooperative broadcast emission signal optimization method, a cooperative architecture of the central control unit, the distributed antenna array, the environment sensing module and the terminal feedback module is adopted, dynamic beam forming and power optimization are achieved, the coverage uniformity of broadcast signals is remarkably improved, and blind areas and overlapped interference areas are reduced; the energy utilization efficiency is improved, the energy waste caused by ineffective radiation is reduced, the self-adaptive capability of the system is enhanced, and the channel environment change can be responded in real time.

The invention discloses a directional sound wave loudspeaker control method based on MEMS, and relates to the technical field of stereo loudspeakers. By initializing the MEMS array, the microphone array and the control circuit, stable operation of the system is ensured. The microphone array accurately locates a sound source by using a TDOA or beam forming algorithm, and the control circuit calculates phase and amplitude parameters of the MEMS unit to realize high-precision beam forming. The MEMS acoustic metasurface array transmits directional sound wave beams according to parameter adjustment, a microphone in a target area monitors sound wave quality in real time, and a control circuit dynamically and finely adjusts array setting through a feedback optimization algorithm to adapt to environmental changes. The system has the advantages of high-precision positioning, efficient beam forming, real-time optimization and low power consumption, is suitable for scenes such as smart home and virtual reality, and remarkably improves sound wave directionality and quality stability.

The invention discloses a fast synthesis and beam forming method for an arbitrary polarization reconfigurable array. The fast synthesis and beam forming method can be widely applied to a low-cost large-scale phased array. According to the invention, the polarization states of the antenna units and the array beamforming algorithm are switched through the radio frequency switch, and beamforming of any polarization state can be realized under the condition that each antenna unit only uses one radio frequency channel. In the design process, firstly, polarization state arrangement is solved with the information entropy of the polarization reconfigurable array as an optimization target, an optimal array topological structure is obtained, and then the excitation amplitude and the excitation phase are solved with the expected polarization state and the expected scanning angle. The maximum innovation of the invention lies in that under the condition that each antenna unit only uses one radio frequency link, the wide-angle scanning capability of any polarization beam is realized through the irregular distribution of the polarization state.

The embodiment of the invention discloses an orientation estimation method, device and system for leakage noise of a water supply network. The method comprises the following steps: acquiring an acoustic signal acquired by a positioning array, wherein the array element spacing of the positioning array is smaller than half-wavelength; the method comprises the following steps of: extracting a main frequency band of each channel signal in an acoustic signal by utilizing power spectral density based on the channel signal acquired by each array element in the acoustic signal; the method includes determining an adaptive dominant frequency band of an acoustic signal based on dominant frequency bands of all channel signals in the acoustic signal. Furthermore, the method includes estimating the orientation of the leakage noise by using a beamforming algorithm based on the acoustic signal and its adaptive dominant frequency band. In this way, according to the embodiment of the invention, the small-aperture array can be used for replacing a leakage listening rod to collect the sound signals of the pipe network, the frequency component with the high signal-to-noise ratio in the self-adaptive main frequency band is screened out from the sound signals, and then high-resolution orientation estimation is achieved through the beam forming algorithm.

A method operable to track reconstruction of a tissue volume from disjoint acoustic sensors. The method includes placing modular acoustic elements individually at positions with respect to the tissue volume, tracking the positions of the modular acoustic elements individually, creating a volumetric distribution map of the tracked modular acoustic elements, registering the volumetric distribution map, and reconstructing an image of the tissue volume or transmit a focused ultrasound by providing the registered distribution map to a beamforming algorithm.

The invention discloses a non-contact super-resolution guided wave array imaging method based on deep learning, and relates to the technical field of structure nondestructive testing and imaging. The method comprises the following steps: step 1, establishing a non-contact guided wave array for data acquisition, and applying a delay and summation beam forming algorithm to acquired guided wave array response data to generate an initial guided wave imaging image, step 2, extracting the space distribution probability of defects from the initial guided wave imaging image, constructing a de-noised DAS image, and carrying out de-noising on the de-noised DAS image. The method comprises the following steps: step 1, denoising a DAS image, and extracting a local sub-image region containing defects from the denoised DAS image, step 2, generating a high-resolution defect image through a multi-scale residual network, and dynamically optimizing an imaging result by adopting a quantitative index. The diffraction limit of a traditional imaging method is broken through in combination with a multi-scale deep neural network structure; and the subwavelength defect in the structure can be clearly visualized.

A method performed by a Radio Access Network (RAN) node. The method is for assisting a network node in locating a position of a User Equipment (UE) in a wireless communications network. The RAN node comprises a Multiple-Input Multiple-Output (MIMO) antenna system capable of performing beamforming. The RAN node receives (502), on the MIMO antenna system, one or more uplink signals from the UE. The one or more uplink signals comprises one or more out of: a Line of Sight (LoS) signal and one or more non LoS (nLoS) multipath reflections. The RAN node determines (503) an Angles- of-Arrival (AoA) and a Time-of-Arrival (ToA) related to the received LoS signal and each of the nLoS multipath reflections. The RAN node extracts (504), based on a temporal beamforming algorithm the LoS signal and the one or more nLoS multipath reflections, from the one or more received uplink signals. Additionally, the RAN node sends (505) information to the network node. The information comprises one or more out of one or more: determined AoA, determined ToA, extracted LoS signal and extracted nLoS multipath reflections.

The invention discloses a directional pickup system for intelligent glasses, which relates to the technical field of intelligent glasses and comprises heterogeneous microphone array modules used for being arranged on two sides of glasses legs to form spatial asymmetric array digital microphones and realizing coverage of + / -90 degrees in a horizontal plane and + / -30 degrees in a vertical plane by utilizing a binaural sound source positioning principle. The receiver is used for receiving acoustic signals from the environment. The adaptive beam control module calculates a sound source azimuth angle based on a dynamic beam forming algorithm and the delay inequality of microphone array signals, adjusts digital beam pointing in real time, and updates the frequency to be greater than or equal to 50Hz; according to the multistage noise suppression module, a bone conduction sensor is integrated at a nose pad of a glasses frame, sound source positioning is assisted through jaw vibration signals, environmental noise is suppressed, and a three-stage noise reduction mode is set; and the execution module is used for executing switching of pickup modes based on sound sources with different distances, wherein the pickup modes comprise a near-field mode and a far-field mode. According to the invention, through fusion of bone conduction and air conduction, environment pickup is effectively and adaptively carried out.

The invention discloses voice enhancement intelligent glasses based on ambient light and motion perception, and belongs to the technical field of intelligent glasses. Voice enhancement intelligent glasses based on ambient light and motion perception comprise a glasses frame and a supporting part, the supporting part is connected with the glasses frame through a hinge, and the supporting part comprises a first glasses leg and a second glasses leg; the camera is fixedly connected to the mirror frame; the first sensor is fixedly connected to the mirror frame; the gyroscope is connected to the glasses frame; the main control board is fixedly connected in the second glasses leg; the main control board is electrically connected with the camera and the first sensor through connecting wires; bone conduction loudspeakers are connected in the first glasses leg and the second glasses leg; the voice definition is effectively improved by utilizing the light intensity and color temperature data collected by the ambient light sensor and adjusting the gain and balance of the voice signals, the head movement track is tracked in real time in combination with the gyroscope, the pickup direction of the microphone array is dynamically adjusted in combination with the beam forming algorithm, and the movement artifact noise is effectively reduced.

The invention provides a coal gangue identification method, which comprises the following steps of: firstly, determining the layout of an auditory sensor array; then, coal gangue audio signals are collected, and array element receiving signals are obtained; then, implementing a beam forming algorithm on each array element receiving signal to obtain an audio feature representing coal gangue difference information in a beam forming signal; processing the obtained audio features to obtain a multi-dimensional tensor matrix x containing the coal gangue audio features; and finally, by taking the multi-dimensional tensor matrix chi as input, identifying the coal gangue by using a deep learning network to obtain a coal gangue identification result. According to the auditory coal gangue recognition method provided by the invention, the auditory sensor array is adopted, and the influence of factors such as noise and underground equipment interference on coal gangue audio recognition can be remarkably reduced by performing beam forming on the audio signals of the target area; and the classification identification model is combined to carry out intelligent identification on the coal gangue, so that the coal gangue identification accuracy is improved.

The present invention discloses a method and system for detecting and suppressing anti-suppression deception interference. Combining the advantages of fully autonomous navigation of inertial navigation and satellite signal anti-interference processing technology, it comprehensively utilizes inertial / satellite combined navigation, multi-element satellite antenna array adaptive zeroing filtering algorithm, beamforming algorithm and other methods to achieve detection and suppression of anti-suppression deception interference. The solution of the embodiment of the present invention integrates the combined navigation, multi-element satellite antenna array zeroing adaptive algorithm and satellite navigation anti-suppression interference signal processing method into one system, and combines the beam direction vector calculated by the combined navigation with the zeroing adaptive algorithm based on the multi-element satellite antenna array and the anti-suppression interference module to achieve detection and suppression of suppression deception interference signals. The solution provided by the embodiment of the present invention has good anti-interference suppression deception effect.

The invention relates to a self-adaptive voice dialogue generation system of an intelligent toy and a use method thereof, and belongs to the technical field of voice dialogues of intelligent toys, the self-adaptive voice dialogue generation system comprises a voice acquisition module, a voice recognition module, a user portrait module, a dialogue management module, a natural language generation module, a safety filtering module and a voice synthesis module, the voice acquisition module acquires user voice signals, the voice recognition module is connected with the voice acquisition module and converts the voice signals into text information, and the user portrait module establishes and dynamically updates personalized user portraits corresponding to users. The user portrait at least comprises a cognitive level quantized value, an interest preference vector and an emotion mode label which are calculated on the basis of interaction historical data. According to the method, a high-fault-tolerance voice processing chain is formed from directional pickup of a beam forming algorithm at a hardware end to a CNN-LSTM acoustic model optimized for children at a software end, so that the smoothness and the stability of an interaction process in a real children use scene are fundamentally guaranteed.

The invention provides an intelligent safety equipment data transmission method and system based on 5G + private network fusion. Belongs to the technical field of wireless communication and intelligent safety equipment. The method comprises the following steps: preprocessing original data collected by intelligent safety equipment; performing real-time monitoring and feature extraction on the initial multipath channel signal data by using a radio frequency front end of the 5G terminal to obtain antenna channel feature data; on the basis of the extracted antenna channel characteristic data, an antenna initial beam directional diagram is calculated through a phased-array antenna beam forming algorithm; performing spatial filter interference suppression processing on the initial beam directional diagram to obtain antenna optimization beam form data; adjusting the beam form data through a digital beam forming technology to obtain a final antenna beam configuration parameter; and through the high-speed transmission capability of the 5G + private network, the data transmission rate of the intelligent safety equipment is remarkably improved by combining the intelligent bandwidth aggregation and time slot division technology.

The application discloses an X-band intelligent circular ring array antenna and a control method thereof, and relates to the technical field of radar antennas.The antenna comprises a PCB base plate, a plurality of antenna elements are distributed radially on the front surface of the PCB base plate, the front surface of the PCB base plate is an analog circuit, and the back surface is a digital processing control circuit.The analog circuit comprises a power divider / combiner and a multi-path TR component, and the digital processing control circuit comprises an SPI control interface, a wave control circuit, a power supply and a modulation circuit.The application superimposes the windowed beam forming algorithm and the traditional beam forming superposition processing technology, overcomes the disadvantage that the main and side lobe suppression of the circular ring antenna array is relatively low, greatly reduces the false target false alarm probability, adopts the circular ring array + phased array technology to realize the X-band intelligent antenna, does not need a motor rotating device, adopts full digital beam forming, and has faster scanning speed, higher reliability, various scanning modes, can realize the beam pointing large-angle instantaneous movement, and overcomes the inertia disadvantage of mechanical scanning.

The present invention relates to the field of wireless communication technologies, and discloses an optimized system for wireless audio transmission based on adaptive beamforming, including: a multi-channel signal acquisition and preprocessing module that generates a feature matrix; a hierarchical attention interference source feature extraction module that identifies the type and location of interference sources; a user discomfort perception model construction module that generates a personalized interference sensitivity map; a beam null dynamic adjustment module that dynamically adjusts the null position and depth of the beamforming algorithm; a reinforcement learning optimization module that receives the execution results of the beam null dynamic adjustment module and user feedback data, and continuously optimizes the interference suppression strategy by using the reinforcement learning method to improve the adaptability of the system to unknown interference environments; by innovatively combining deep learning, user experience perception, and reinforcement learning technologies, the problem of interference in wireless audio transmission is solved, and the user experience is optimized while improving the audio quality.

The invention discloses a directional private voice transmission mobile phone shell with close-range ear positioning and a method, and relates to the field of mobile communication terminal accessories. According to the invention, the built-in camera of the mobile phone is reused to realize ear positioning, the rear camera is adopted to complete target ear aiming during outward directional transmission, and the front camera is adopted to realize face and ear real-time tracking during private listening; the mobile phone shell is provided with a control module and a directional sound production unit, a hardware solidification beam forming algorithm unit is arranged in the control module, the sound production unit is driven to form a narrow beam sound field, voice is accurately focused on a close-distance ear region, and directional private voice transmission is achieved. The mobile phone shell can be connected with a mobile phone in a wired or wireless mode, a matched APP can achieve text-to-voice, positioning aiming, mode switching and global audio capture and forwarding of a mobile phone system, and the mobile phone shell is easy to use.

The present invention belongs to the technical field of signal processing. The present invention discloses a method, device and storage medium for controlling an automotive antenna of a new energy vehicle, including: collecting real-time signal data from N units of an antenna array; preliminarily processing the collected real-time signal data to obtain a comprehensive feature data set; training a quality evaluation model based on the comprehensive feature data set to predict a comprehensive communication quality index; evaluating whether the communication quality meets the standard according to the comprehensive communication quality index; if the communication quality does not meet the standard, dynamically adjusting the antenna gain through a beamforming algorithm to obtain a corresponding gain adjustment strategy; implementing the corresponding gain adjustment strategy until the communication quality meets the standard; so as to optimize the communication link and ensure the stability and quality of communication.

The present application provides a fast beamforming method for any angle applicable to a multi-beam sounding system. The beamforming method includes: calculating a frequency index matrix corresponding to a preset angle vector; splitting the frequency index matrix into an integer part matrix and a fractional part matrix; obtaining a weighting matrix based on the fractional part matrix and weighting the array element received data matrix; and outputting an output beam corresponding to the preset angle vector based on the integer part matrix and the weighted array element received data matrix. The present application proposes an arbitrary angle beamforming algorithm based on the fast Fourier transform. By studying the relationship between the angle and the spatial domain frequency, this algorithm splits the frequency index matrix of the spatial domain frequency into an integer part and a fractional part, and further designs the weighting vectors for each angle according to the fractional part, solving the problem of limited beam angles in DFT beamforming.

The invention relates to the technical field of radio frequency access doors, and particularly discloses a radio frequency access door based on multi-band cooperative control and an article passing identification method. The radio frequency channel gate comprises a multi-band reader-writer, a multi-band antenna array, a millimeter wave radar module, a metal shielding frame, a distributed signal processing module, an intelligent control module, a communication interface module and an auxiliary indicating device. According to the radio frequency access door and the article passing identification method provided by the embodiment of the invention, a three-dimensional point cloud picture and a space attention weight matrix are generated in real time by using the millimeter wave radar and the metal attention module, so that reflection interference and a multipath effect in a metal dense scene are effectively inhibited, and the reliability of tag signal identification is improved; the power ratio of a label signal to an interference signal is maximized by means of a dynamic beam forming algorithm, a label track is predicted in combination with an LSTM model, an NOMA / TDMA mode is dynamically switched, and intelligent distribution of transmitting power and time slots in a high-flow scene is achieved.

The invention discloses a hybrid intelligent reflector system based on FPGA centralized control. The system comprises a reflective array layer, a control layer, a communication feedback layer and an energy management module. The reflective array layer reflects the incident wave signal to a target direction through active amplification and phase adjustment; the control layer adopts an FPGA centralized control structure, establishes a channel model based on channel state information, executes a beam forming algorithm and phase matrix calculation, generates a target phase control matrix and a power distribution scheme, and adjusts a gain coefficient of the reflective array layer; the communication feedback layer extracts channel estimation parameters and carries out channel data reconstruction; and the energy management module transmits a real-time load signal of the reflective array layer to the control layer, receives a control level signal of the control layer, and cooperatively adjusts the power and phase of the reflective array layer. According to the invention, on the basis of a centralized control architecture and an energy adaptive management mechanism of the FPGA, signal amplification compensation, intelligent beam direction regulation and control and dynamic power distribution are realized.

This invention discloses a phase-open-loop hierarchical phase-shifting beamforming method, comprising the following steps: Step 1: uniformly dividing the array beam scanning space into N Scan Step 1: Inject random phase weights into the first phase shifter at the first stage; Step 2: Scan angle θ i Step 4: Apply a scanning phase to the first-stage phase shifter and calculate the phase shift of the first-stage phase shifter; Step 5: Calculate the phase shift of the second to Nth-stage phase shifters using a penetration beamforming algorithm; Step 6: Correct the median shift of the phase shift of each stage phase shifter; Step 7: Repeat steps 3 to 5 until all scanning angles are traversed, and record the maximum grid lobe sidelobe level within all scanning angles as L. l Step 7: Repeat steps 2 through 6 until the maximum number of iterations is reached; Step 8: L l The minimum is L best The corresponding iteration uses the optimal beam phase weight for the full-scan spatial domain. This invention can effectively reduce the grating lobe sidelobe level, is simple to implement, and is suitable for low-cost antenna arrays.