64 results about "Beamforming algorithm" patented technology

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 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 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 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.

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.

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 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 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 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.

The invention provides an electric service equipment fault detection method based on acoustic characteristics, electronic equipment, a readable storage medium and a computer program product. The electric service equipment fault detection method based on acoustic characteristics comprises the steps of obtaining a sound signal and a visual image when target electric service equipment operates; converting the sound signal into an acoustic feature image, and performing noise reduction processing on the acoustic feature image by using a pre-trained deep learning noise reduction model to obtain a noise-reduced acoustic feature image; the noise-reduced acoustic feature image is mapped to a visual image based on a beam forming algorithm, an acoustic image graph is generated, and each pixel value in the acoustic image graph represents the sound wave intensity of the pixel position; feature recognition is carried out on the acoustic image, whether the acoustic image contains target acoustic image features or not is determined, and the target acoustic image features indicate that the target electric service equipment has a fault; and if the sound image comprises the target sound image feature, at least determining the fault type of the target electric service equipment based on the target sound image feature.

The application discloses a sidelobe nulling beamforming method combined with symbol coherence, and relates to the field of ultrasonic imaging; the method comprises the following steps: focusing and delaying sampled echo data to obtain time-aligned echo signals; dividing a complete ultrasonic array into two sub-arrays, performing delay and superposition beamforming algorithm on echo signals of the two sub-arrays respectively to obtain two groups of output signals; adding and subtracting the two groups of output signals respectively to preliminarily obtain output signals of a main beamformer and an auxiliary beamformer; simplifying processing of symbol multiplication and coherence factors, and weighting output of the main beamformer to obtain final output of the main beamformer; weighting output of the auxiliary beamformer by using nulling parameters to obtain final output of the auxiliary beamformer; and comparing output data of the main beamformer and the auxiliary beamformer to obtain final imaging data and perform imaging; and the application significantly improves resolution and contrast of ultrasonic imaging.

The utility model discloses a multifunctional integrated WIFI audio recorder, which relates to the technical field of audio recorders, and comprises a functional assembly, an AI processing chip and an external assembly, firstly, the AI processing chip accurately calculates a sound source direction by using a beam forming algorithm through a time difference and a phase difference, and then dynamically enhances a target direction signal to suppress noise in other directions; therefore, the problem that the far-field pickup precision of the existing built-in voice assistant and the microphone array is insufficient is effectively solved, and when an extended recording microphone needs to be externally connected, effective magnetic connection can be carried out through a magnetic power contact +, a magnetic power contact-and a magnetic data contact in the external assembly, so that the extension of the recording microphone is facilitated. And the positioning groove can be embedded with the external microphone, so that the purpose of preventing dislocation is achieved, the task of remote sound collection is completed, and the problems that the existing pickup extension function depends on a USB or a special interface, the external microphone needs to be physically plugged and unplugged, the interface is easy to wear, the use is relatively inconvenient, and certain limitation exists are perfectly solved.

The invention discloses a spatial three-dimensional fixed-point secure transmission method based on a planar array, constructs a spatial three-dimensional fixed-point secure transmission architecture based on a planar array antenna, and solves the problems that aiming transmission can only be realized in a two-dimensional space based on a linear frequency control array antenna, and accurate fixed points in a vertical distance of a three-dimensional space cannot be realized. By means of a beam forming algorithm based on weighted vector product optimization, the problems that planar frequency control array beam forming is high in complexity and poor in main lobe energy focusing degree are solved.

The present application relates to radar communication technology, disclose a kind of based on cumulative parameter adjustment iteration's conformal polarization array transmit beam shaping algorithm.The present application is based on MVDR criterion to obtain the analytical solution of transmission weight vector, then based on matrix inversion rule to obtain weight vector iterative recurrence formula, the optimal analytical solution of real adjustment parameter in each step iteration is obtained by mathematical derivation, finally the transmit beam pattern that satisfies performance requirement is obtained.This method is low in operation amount, good in convergence, at the same time, makes the conformal polarization array transmit beam pattern satisfy main beam pointing and polarization constraint, and effectively reduces peak sidelobe level and peak cross-polarization level, and can form deep recess in specific angle range.In addition, the method is especially suitable for large-scale array beam shaping.

The invention discloses a non-contact electrophysiology monitoring method based on sound wave reflection and AI analysis, which reconstructs a loudspeaker and a microphone of a Bluetooth sound box into a biological radar and a vital sign sensor by multiplexing consumer-level Bluetooth sound box hardware, and realizes detection of vital sign information through sound wave modulation. The method comprises the steps that echo signals are processed based on a TDOA positioning algorithm and an MVDR beam forming algorithm, the signal-to-noise ratio of the echo signals is increased, a time-frequency domain joint feature matrix is established, then the time-frequency domain joint feature matrix is processed based on a two-channel AI model, a respiratory frequency band and a blood oxygen band are processed through an LSTM network and an SVM classifier respectively, and a blood oxygen band is obtained. Compared with traditional non-contact detection, the method has the advantages that the hardware cost is saved, the functions of a biological radar and a vital sign sensor can be realized through simple transformation, and the measurement precision is greatly improved through an algorithm.

A stretchable and flexible imaging device that conforms to a shape of patient tissue to which it is attached includes a stretchable and flexible encapsulation substrate and superstrate that is removably attachable to patient tissue. An ultrasound transducer array is disposed between the substrate and superstrate for transmitting and receiving ultrasound waves. The transducer elements are arranged so that data from the received ultrasound waves is processable into an ultrasound image of specified patient tissue. A stretchable and flexible electrical interconnect layered structure is disposed between the superstrate or substrate and the transducer array and is operatively coupled to the transducer elements such that the electrical interconnect layered structure is configured to address the transducer elements. A controller is configured to implement a beamforming algorithm. The controller is in operative communication with the electrical interconnect layered structure for generating the ultrasound images of the specified patient tissue.

The invention discloses an epilepsy room intelligent noise reduction guiding system and method based on humanistic care, and relates to the technical field of XX. According to the invention, flexible intervention is realized through the bimodal warning system, the design disadvantage that noise is controlled by noise of traditional warning equipment is avoided, and the stimulation risk of noise to epileptics is remarkably reduced; and by utilizing a beam forming algorithm and an epilepsy voiceprint feature filtering algorithm, the accuracy of noise monitoring is improved, the false triggering rate is reduced, and when efficient deployment is realized on a small medical equipment platform, the response time of the system is ensured to be less than 3 seconds through multi-thread parallel computing and hardware acceleration, so that the real-time requirement of a medical environment is met.

The invention discloses an intelligent anti-interference beam forming optimization method. The method comprises the following steps: acquiring a to-be-processed signal received by a target array; determining a to-be-processed covariance matrix according to the to-be-processed signal; inputting the covariance matrix to be processed into a pre-trained target complex neural network, and outputting a target weight vector; wherein the target complex neural network is used for performing complex operation on complex elements in the covariance matrix to be processed; and based on the target weight vector, performing interference suppression processing on the to-be-processed signal to obtain a target signal. Compared with a traditional beam forming algorithm, the method has the advantages that the complexity is lower, the occupied resources are fewer, and hardware deployment is more facilitated; the beam forming method is intelligently optimized through the target complex number neural network, so that the amplitude-phase interference resisting effect is better; during application, the target weight vector can be output only by determining the covariance matrix to be processed, so that the workload is reduced.

A target detection method according to the present disclosure includes generating a range-velocity map from a radar signal of an MPSK-MIMO FMCW radar, detecting a plurality of target signals including a real target signal and a ghost target signal for a target with respect to a velocity axis, estimating an angle of arrival of the target by applying a Capon beamforming algorithm to a target detection result, configuring a phase sequence by extracting phase values for the plurality of target signals from the range-velocity map and arranging the phase values in descending order of velocity value, and arranging differently a plurality of prediction phase values derived using the angle of arrival according to a preset rule to obtain a plurality of candidate phase sequences, and calculating a correlation coefficient between the phase sequence and the plurality of candidate phase sequences and identifying a real target signal in the range-velocity map.

The invention relates to the field of acoustic signal processing and analysis, in particular to a rapid acoustic imaging method and system under limited computing resources. According to the method, firstly, for a scene in which multiple sound sources coexist and a weak sound source is submerged by a strong sound source side lobe, a small number of reference channels are selected, space-time adaptive interference cancellation with leakage is adopted, and space-time two-dimensional information is utilized to effectively suppress masking of the weak sound source by the strong sound source; then, applying a delay summation beam forming algorithm to each channel signal subjected to cancellation processing; and finally, beam forming output is converted into a signal-to-noise ratio matrix, multi-frequency point fusion is realized through a frequency domain maximization strategy, and noise interference is further reduced. According to the invention, rapid and accurate imaging of each sound source target is realized, and the method is suitable for real-time processing scenes with limited computing resources.

The invention discloses a robust adaptive beamforming method based on null broadening and main lobe interference detection and elimination, which uses time decay covariance matrix sampling to improve the real-time performance of an algorithm, reconstructs a covariance matrix to separate a desired signal and interference, uses virtual interference rotation broadening null, and uses the main lobe interference detection and elimination to detect and eliminate the main lobe interference. And main lobe interference detection based on an improved multiple signal classification algorithm is used, and interference in a main lobe is eliminated. According to the beam forming method, the output signal to interference plus noise ratio in a high dynamic environment is effectively improved, and the system performance is improved. Compared with an existing classical beam forming algorithm in a high dynamic environment, the scheme provided by the invention has obvious performance gain.

The application discloses a multi-sound source positioning and imaging method based on sparse representation and variational Bayesian inference, and steps are as follows: (1) an initial sound intensity matrix is generated under low resolution by using a conventional beamforming algorithm to estimate the sound source position; (2) the signal intensity gradient is calculated, the search position is updated along the gradient direction, and the accurate sound source position and high-resolution sound intensity matrix are obtained; (3) a sparse dictionary learning algorithm is used for sparse coding and dictionary update optimization of the high-resolution sound intensity matrix; (4) a variational Bayesian inference model is constructed based on the sparse coefficient, the lower bound of variation is optimized, and the posterior positioning estimation of the multi-sound source is carried out; and (5) the positioning result is fused with the camera image to obtain the visualized position of the sound source. The method realizes high-precision real-time positioning and imaging in a complex sound field by combining low-resolution positioning, gradient optimization, sparse dictionary learning and Bayesian inference, and has high spatial resolution and strong anti-interference capability.

This utility model discloses an audio processing module for an industrial camera with sound field direction analysis, including a microphone array containing at least three asymmetrically distributed directional microphones, configured in the circumferential edge region of the industrial camera housing, for acquiring multi-channel audio signals within the target sound field range; through the setting of high-precision sound field direction, and through a dual-layer asymmetrical microphone array (6 cardioids in the inner ring + 12 supercardioids in the outer ring) and MVDR beamforming algorithm, a 2.5° azimuth resolution is achieved in the 12kHz frequency band, which is 67% higher than that of traditional uniform arrays, and effectively suppresses multipath reflection interference in the industrial environment (positioning error < ±5cm / 3m).

The application discloses a kind of based on LSTM's multi-base station partial channel cooperation prediction beam forming method of sensing integration.It designs a novel multi-base station sensing integration system model, and the service link, cross-base station interference link and sensing echo link are partially modeled, to reduce the dependence on complete channel state information.In addition, an LSTM network is constructed to mine historical channel information and interference features in rate sequence, accurately predicting future interference channel distribution.Taking into account the non-stationarity of channel and interference process, an online learning and time sequence self-adaptive mechanism is introduced, allowing the model to continuously absorb new distribution information, suppress forgetting and update parameters in a cost-controlled manner during inference, maintaining stable performance.Finally, based on the prediction results, a multi-base station cooperative robust beam forming algorithm is designed to jointly optimize the optimal beam forming matrix, achieving accurate downlink transmission and target sensing.The application can significantly improve spectral efficiency and sensing accuracy, achieving better robustness in complex interference scenarios.

The invention relates to the technical field of submarine cable positioning, in particular to a submarine cable full-route automatic positioning method based on distributed optical fiber sound wave sensing, which comprises the following steps of: connecting a DAS demodulator with submarine cable optical fibers to form a sensing array, collecting passive acoustic noise generated by ship navigation and demodulating the passive acoustic noise into a vibration signal; acquiring position coordinates of the corresponding ship from the public AIS database; calculating a pseudo azimuth angle of each ship noise by adopting a beam forming algorithm based on the vibration signal; constructing a geometric model among the pseudo azimuth angle, the ship coordinates and submarine cable point position parameters; for a submarine cable point, multiple groups of pseudo azimuth angle data are accumulated to form a data vector, iterative inversion is carried out by adopting a damping least square method, and the coordinate and the azimuth angle of the point are solved; and repeating the process to determine parameters of each key position point of the submarine cable, and obtaining a complete route through linear interpolation. According to the invention, the passive sound source and the public AIS data are utilized, active emission, precise time service and complex marine work are avoided, and efficient and low-cost submarine cable full-route positioning is realized.