349 results about "Channel sounding" 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 relates to the technical field of unmanned aerial vehicle communication, and discloses a dynamic spectrum frequency hopping communication method and device for a target aircraft and a ground station, and the method comprises the steps: collecting state information; evaluating a signal quality indicator based on the power data; based on the total spectral range and the signal quality index, segmenting the total spectral range into N sub-bands to obtain a spectrum allocation result; based on the task priority and the communication quality index, carrying out main target machine election; each target machine sends an orthogonal detection sequence in a corresponding time slot to obtain channel state information; converting the channel state information into a frequency hopping key; generating a frequency hopping sequence based on the frequency hopping key; according to the invention, an adaptive frequency hopping technology based on a channel state is adopted, the channel quality is monitored in real time, and a dynamic frequency hopping sequence is generated, so that an interference frequency band is effectively avoided; through a time division multiplexing channel detection mechanism, signal overlapping is fundamentally avoided, and continuous and stable operation in a complex dynamic environment is ensured.

This disclosure describes systems, methods, and devices for configuring sounding reference signal resources across multiple frequency locations for device positioning. A device may encode for transmission a sounding reference signal (SRS) including a first set of SRS resources for a first transmission by a user equipment (UE) device to the node B network device at a first time and a second set of SRS resources for a second transmission by the UE device to the node B network device at a second time; decode the first transmission received from the UE device using the first set and a first bandwidth at the first time; decode the second transmission received from the UE device using the second set and a second bandwidth at the second time; and combine the first transmission and the second transmission for a device positioning estimation based on the first bandwidth and the second bandwidth.

The invention discloses a secure data transmission method for a wireless communication system, which relates to the technical field of secure data transmission and comprises three steps of key generation and synchronization, physical layer subcarrier encryption and key enhancement and authentication. The method comprises the following steps: firstly, extracting multi-dimensional features through channel detection to generate a dynamic initial key, and setting a trigger condition to realize key synchronization; then, a permutation matrix is generated by using a secret key to perform scrambling encryption on a data subcarrier position, and a receiving end performs descrambling and then performs feedback through CRC verification so as to guarantee data integrity; and finally, quantum noise is introduced to enhance the randomness of the secret key, and zero-knowledge authentication is adopted to verify the identity, so that the security and the anti-attack capability of wireless communication data transmission are effectively improved.

The invention relates to the technical field of Bluetooth positioning, and discloses a Bluetooth positioning method and device based on displacement auxiliary verification and a vehicle key system, and the method comprises the steps: generating a distance measurement signal in a current period of channel detection, and obtaining a first echo signal and a second echo signal of a to-be-positioned object in response to the distance measurement signal; determining corresponding initial positioning data of the to-be-positioned object in the current period according to the first echo signal and the second echo signal, and performing displacement auxiliary verification on the initial positioning data in the period to determine current verification positioning data of the to-be-positioned object; and acquiring corresponding historical verification positioning data of the to-be-positioned object in a previous period of the current period, and performing weekly displacement auxiliary verification by using the historical verification positioning data and the current verification positioning data to determine target positioning data of the to-be-positioned object. According to the invention, the number of frequency groups required by CS communication can be obviously reduced, the positioning efficiency is improved, and the positioning accuracy is also improved.

A wireless communication method and a device are provided. A first access point multi-link device (AP MLD) sends or receives a multi-AP MLD sounding announce frame. The multi-AP MLD sounding announce frame indicates at least one of: a sequence in which a plurality of AP MLDs perform channel sounding, a time at which the plurality of AP MLDs perform channel sounding, information of links used for the plurality of AP MLDs to perform channel sounding, information of a frequency band used for the plurality of AP MLDs to perform channel sounding, or information of a channel corresponding to the links and / or the frequency band used for the plu

The invention discloses a voiceprint monitoring method, system, medium and equipment for rotation stall of an aero-engine compressor, and the method comprises the steps: determining the layout of a microphone array through the model parameters of the compressor of the aero-engine, and carrying out the synchronous collection of sound pressure time domain signals of multiple channels of the compressor of the aero-engine through the microphone array; arranging the multi-channel sound pressure time-domain signals in sequence to construct a time-domain signal matrix; performing spectral analysis on the sound pressure time-domain signals by adopting a fast Fourier transform algorithm to obtain a spectrogram of the sound pressure time-domain signals of each channel, monitoring whether an abnormal single-tone frequency peak value lower than one time of rotation frequency appears in the spectrogram or not, obtaining an acoustic mode spectrogram of the abnormal single-tone frequency peak value by adopting a single-frequency acoustic mode decomposition method, and obtaining an acoustic mode spectrum of the abnormal single-tone frequency peak value; and whether the rotating stall characteristic of the gas compressor occurs in the acoustic mode spectrogram is monitored to judge whether the rotating stall characteristic of the gas compressor occurs or not.

In an aspect, a communications device obtains a residual AoA bias associated with a first AoA measurement of a RS-P transmitted from a wireless reference node to a first base station, the wireless reference node associated with a location known to the communications device, obtains a second AoA measurement associated with an uplink signal (e.g., PRACH, SRS, UL-SRS-P, etc.) transmitted from a UE to the first base station, and calibrates the second AoA measurement based on the residual AoA bias. In another aspect, a communications device obtains a residual AoD bias associated with a first AoD measurement of a RS-P transmitted from a first base station to a wireless reference node with a known location, obtains a second AoD measurement associated with a downlink signal (e.g., DL-PRS) transmitted from the first base station to a UE, and calibrates the second AoD measurement based on the residual AoD bias.

The invention provides a vehicle abnormal noise positioning method and system based on digital twinning, and the method comprises the steps: collecting a multi-channel sound signal through a three-dimensional spherical microphone array, according to the arrival time delay inequality of vehicle abnormal noise to different microphone arrays, combining the geometric structure of the three-dimensional spherical microphone array, and carrying out the positioning of the vehicle abnormal noise. Estimating the azimuth angle of the abnormal noise of the vehicle relative to the corresponding microphone array, determining the position of the abnormal noise of the vehicle, and determining the absolute coordinate of the abnormal noise of the vehicle in a vehicle coordinate system according to the conversion relation between the three-dimensional spherical microphone array coordinate system and the vehicle coordinate system. And displaying the abnormal noise position of the vehicle in the digital twin of the vehicle. According to the scheme of the invention, the generation part of the abnormal noise of the vehicle can be quickly and conveniently judged, and the accuracy of positioning the abnormal noise of the vehicle is improved based on the three-dimensional spherical microphone array and time delay estimation.

The invention discloses a voiceprint identification method, system, medium and equipment for instable rotation of an aero-engine compressor, and the method comprises the steps: carrying out the synchronous collection of sound pressure time domain signals of multiple channels of the aero-engine compressor through a microphone array; arranging the multi-channel sound pressure time-domain signals in sequence to construct a time-domain signal matrix; converting the time-domain signal matrix into a frequency-domain signal matrix by adopting a fast Fourier transform algorithm, squaring the amplitude of the frequency-domain signal of each channel to obtain an auto-power spectrum signal of each channel, and outputting an average auto-power spectrogram; the method comprises the following steps: monitoring whether an asynchronous vibration component and a hump characteristic with the frequency difference of one time of rotation frequency appear in an average self-power spectrogram or not, and obtaining an acoustic mode spectrogram of an asynchronous vibration frequency peak value through a single-frequency acoustic mode decomposition method; the acoustic mode order at the asynchronous vibration frequency peak value does not meet the conversion-static interference formula, and the dominant acoustic mode orders are not correlated.

The invention provides a partial discharge mode recognition method based on multi-channel sound signal time-frequency space spectrogram fusion, and belongs to the technical field of partial discharge mode recognition. The problem that information redundancy and difference between existing multi-channel sound signals cannot be effectively fused and discriminant features cannot be extracted is solved. The method comprises the following steps: collecting and summarizing multichannel sound signal data corresponding to different partial discharge models as a data set; performing normalization processing on the original multichannel partial discharge sound signal, and mapping a time domain signal into time-frequency joint distribution to obtain a gray scale time-frequency spectrogram; performing multi-scale and multi-direction decomposition on the grayscale time-frequency spectrogram to obtain each channel sub-graph; different fusion strategies are used for fusing the channel sub-graphs obtained through decomposition; reconstructing a time-frequency space fusion spectrogram from the fused sub-graphs of each channel through inverse transformation; extracting features; identifying a partial discharge mode; the method is applied to partial discharge detection.

One example according to the present specification relates to a technique related to configuration of a preamble in a wireless LAN (WLAN) system. According to various embodiments, a receiving STA may receive an NDP frame. The NDP frame may comprise a first signal field and a second signal field. The first signal field may comprise first information about a PHY version. The second signal field may comprise second information about transmission of a PPDU, set on the basis of the first information. The receiving STA may perform channel sounding on the basis of the NDP frame.

The invention provides a cast-in-place pile quality online monitoring method and system based on an ultrasonic array, and the method comprises the steps: transmitting and receiving ultrasonic waves through the ultrasonic array arranged in a cast-in-place pile, and obtaining a multi-channel sound wave signal; performing generalized S transformation processing on the multichannel sound wave signals to obtain a time-frequency matrix, and calculating a cross correlation coefficient between each channel signal and the defect-free reference signal; an amplitude matrix and an instantaneous phase gradient matrix are calculated based on the time-frequency matrix, neighborhood amplitude energy and a phase consistency factor are fused in a time-frequency domain, and a defect energy indication diagram of the pile body section is generated; calculating the energy entropy of the defect energy indication diagram in a full frequency band; and extracting an actually measured energy arrival time sequence, comparing the actually measured energy arrival time sequence with a theoretical arrival time sequence to construct a space distortion vector, and setting a threshold value by combining energy entropy to judge defects.

The invention discloses an acoustic monitoring method, system, medium and equipment for the near stall condition of an aircraft compressor, and the method comprises the steps: carrying out the synchronous collection of sound pressure time domain signals of multiple channels of an aviation compression system; adding a rectangular window to the multi-channel sound pressure time-domain signal, and constructing an acoustic time-domain signal segment to monitor the current operation state of the aviation compression system; performing fast Fourier transform on the multichannel acoustic time domain signal segment in the current time domain window to form a plurality of sound pressure frequency spectrums, judging whether a plurality of single-tone characteristic frequencies which are non-integer multiples of the current rotation frequency exist in the sound pressure frequency spectrums or not, and constructing an orthogonal Fourier transfer matrix based on the installation position and the highest circumferential modal order, and judging whether the order difference of the characteristic acoustic mode under each characteristic frequency is the rotation frequency multiple difference of the corresponding characteristic frequency, calculating the acoustic mode amplitude corresponding to each broadband frequency component, drawing an acoustic mode spectrogram, and judging whether a mode bright band exists at the cut-off frequency boundary in the acoustic mode spectrogram.

The invention discloses a robot dog monitoring system for bird sound source positioning and tracking, and the system comprises a sound collection module which is used for collecting a multi-channel sound signal, and carrying out the preprocessing of the multi-channel sound signal; the edge calculation module is used for processing based on the preprocessed multi-channel sound signals to obtain a sound source positioning result; the robot dog motion control module is used for receiving the sound source positioning result, performing path planning in combination with a control algorithm, driving a robot dog to autonomously move to approach a sound source, and integrating a sound source array sensor to realize environment perception and navigation; the image recognition module is used for constructing a bird recognition model and deploying the bird recognition model in an image recognition sensor to obtain a bird recognition result; and the remote monitoring module is used for receiving and displaying the sound source positioning result, the motion trail of the robot dog and the bird recognition result in real time. According to the invention, an efficient and intelligent solution is provided for bird monitoring.

The invention provides a communication method, terminal equipment and network equipment. The method comprises: a terminal device receiving first information sent by a network device, the first information being used for triggering receiving or sending of a target signal, the target signal comprising one or more of the following: an uplink reference signal; a downlink reference signal; a CSI; wherein the first information is sent by the network equipment in an uplink random access process; or the first information is sent by the network equipment in the process that the auxiliary cell is activated or quits the dormant state. The first information used for triggering the uplink reference signal, the downlink reference signal or the CSI is transmitted in advance to an uplink random access process, an auxiliary cell activation process or an auxiliary cell quit a dormant state, so that the signals are transmitted as early as possible, the transmission delay of the signals is reduced, and the transmission efficiency is improved. And the time delay from the state switching of the terminal equipment to the channel detection is shortened, so that the network decision is facilitated.

The invention, which relates to the technical field of audio experience, discloses an immersive audio experience-oriented sound sound field orientation system comprising a position sensing module, a sound field modeling module, a characteristic sound wave generation module, an array control module and a space feedback adjustment module. The position and orientation information of a target user in a three-dimensional space is obtained in real time through a non-contact sensor, a real-time acoustic propagation model containing reflection surface distribution and material characteristics is constructed, a multi-channel acoustic signal is generated based on the model, a loudspeaker array is driven to produce sound through a beam control parameter set, and the sound transmission effect is achieved. According to the invention, the spatial focusing of the sound beam in the target direction is realized, the sound production delay and phase difference of each loudspeaker unit are dynamically adjusted based on the direction deviation information of the received sound pressure, and a closed-loop control path is formed. The method is suitable for various scenes such as virtual reality, intelligent cinemas and voice interaction.

Wireless communications systems and methods related to dynamic sounding reference signal (SRS) resource allocation for channel sounding are provided. A base station (BS) determines a plurality of sounding reference signal (SRS) resources for at least a first user equipment (UE), where a first SRS resource of the plurality of SRS resources includes a different quantity of SRS ports than a second SRS resource of the plurality of SRS resources. The BS transmits, to the first UE, a configuration indicating the plurality of SRS resources.

The invention discloses an Internet of Things networking scheduling method for railway tunnel disaster prevention illumination and evacuation indication, and relates to the technical field of railway tunnel disaster prevention. Comprising the following steps: S1, tunnel end monitoring equipment actively initiates environmental channel detection through a power line carrier communication network, scans impedance characteristics, noise levels and attenuation characteristics of different line sections in a tunnel, establishes a dynamic channel fingerprint database, and records an optimal communication frequency point and a channel quality threshold; and S2, performing real-time linkage between the local center monitoring main station and a fire alarm system, and after receiving a fire alarm signal, immediately generating a dynamic evacuation path through a disaster evolution prediction model according to a fire alarm position, a smoke diffusion state and a real-time channel state. The power line carrier communication module is utilized to actively perform channel detection and electrical parameter acquisition, a state channel fingerprint database is established, and fault diagnosis and state grading are performed based on the state channel fingerprint database, so that the overall reliability and maintainability of the scheme are improved, and the availability of equipment in a disaster is ensured.

The invention relates to the technical field of metal defect detection, in particular to a defect detection method, device and equipment for metal disc parts and a medium. The method comprises the steps that ultrasonic phased array signals of a target metal disc part are obtained and preprocessed, preprocessed ultrasonic phased array signals are obtained, and the ultrasonic phased array signals comprise multi-channel sound wave signals collected by different detection faces of the metal disc part at different angles; and utilizing a pre-constructed CNN-BiLSTM-based feature extraction model to obtain multi-dimensional features fusing a time domain and a space domain, and utilizing a classifier to determine a defect detection result. The problem that different types of defects can be accurately identified and distinguished in a duplicated defect combination scene is solved, the purpose of improving the detection accuracy of deep or hidden defects is achieved, accurate fault positioning and repairing basis can be provided for operation and maintenance detection personnel, hidden defects of disc parts in a mechanical device are effectively identified, and the detection efficiency is improved. And major safety accidents are avoided.

The application relates to the technical field of acoustic signal processing. A three-dimensional sound event accurate identification and positioning method based on AI and a multi-microphone array is provided, which comprises the following steps: acquiring a multi-channel sound signal; performing frame windowing processing on the multi-channel sound signal to obtain time-frequency domain information; generating mel feature information; performing time-space joint feature extraction to generate an initial event category and a three-dimensional direction code; generating multi-angle virtual sound field data by combining the attenuation relationship between the sound source direction and the microphone angle through a simulation algorithm; inputting the real-time collected multi-channel sound signal into an optimized three-dimensional sound detection model for reasoning, and outputting an optimized event category and a three-dimensional direction code; performing dynamic calibration to generate a real-time calibrated three-dimensional sound detection model, so as to solve the problems of insufficient multi-dimensional distribution characteristic capturing capability of a three-dimensional sound field, limited model generalization capability caused by single data training and static environment assumption, and insufficient real-time adaptability under dynamic noise interference and long-term performance attenuation.

An access point station (AP) configured for multi-AP operation in an EHT network, when configured for multi-AP coordinated beamforming (CBF) and / or multi-AP joint transmission (JT) may operate as a master AP (API) and implement a multi-AP channel sounding protocol. The AP1 may be configured to encode a NDPA frame for transmission to poll one or more intra-BSS stations (STA11...1N) associated with the AP1 and one or more OBSS STAs (inter-BSS STAs) (STA21...2N) associated with a slave second AP (AP2). The AP1 may also be configured to encode a first NDP (NDP1) frame for transmission an SIFS after the NDPA frame. The NDP1 may be transmitted concurrently with a second NDP (NDP2) transmitted by the AP2. The AP1 may also be configured to encode a beam-forming refinement phase (BFRP) trigger frame for transmission an SIFS after the NDP1 frame. The BFRP trigger frame may identify both the one or more BSS stations and the one or more OBSS STAs. The AP1 may also be configured to decode CSI report frames in TB PPDUs received from the BSS stations in the BFRP trigger frame and CSI report frames received from the OBSS STAs identified in the BFRP trigger frame.

The invention discloses a gas compressor near stall state voiceprint continuous monitoring method and system, a medium and equipment, and the method comprises the steps: randomly selecting a preset installation number of microphone measuring points at an inlet to form a microphone array, and carrying out the synchronous collection of multi-channel sound pressure time domain signals; the method comprises the following steps: adding a rectangular window to a multi-channel sound pressure time domain signal, constructing an acoustic time domain signal segment, carrying out fast Fourier transform on the multi-channel acoustic time domain signal segment in a current time domain window to form a plurality of sound pressure frequency spectrums, judging whether a plurality of asynchronous single-tone characteristic frequencies which are non-integer multiples of current rotation frequency exist in the sound pressure frequency spectrums, and if yes, judging whether the sound pressure frequency spectrums exist in the sound pressure frequency spectrums; the method comprises the following steps: constructing a multi-channel microphone continuous frequency domain observation matrix of an asynchronous single-tone characteristic frequency, constructing an orthogonal Fourier transfer matrix based on a microphone sensor installation azimuth angle and a modal highest order, and establishing a compressor near-stall characteristic modal reconstruction model under a non-uniform few-measurement-point condition; and the amplitude is solved based on a block orthogonal matching pursuit algorithm, and compressor near-stall working condition monitoring based on voiceprint features is achieved.

The invention discloses a scene-adaptive multipath time delay alignment method and device for a wireless communication system, and the method comprises the steps: employing an SISO channel detection system to actually measure channel data, employing rectangular or RRC shaping filtering to generate a CAZAC oversampling sequence as a template function, calculating a cross-correlation matrix of an IQ signal and the template function, and enabling the CAZAC oversampling sequence to serve as the template function; a noise threshold is calculated based on the median power and the false alarm rate, dynamic threshold filtering is executed, a cross-correlation matrix after denoising is generated, and preliminary estimation of the time domain impulse response is completed; extracting multipath time delay and complex gain from the cross-correlation matrix by using an SAGE algorithm; drawing a power delay spectrum PDP for the channel impulse response; and performing alignment operation on the PDP in combination with the geographical location information of the transceiver during actual measurement. According to the method, the defect of traditional alignment in a severe scene is overcome, the statistical modeling accuracy is improved, the multipath time delay can be effectively aligned through experimental verification, and reliable support is provided for channel modeling.

The invention relates to a short-wave communication technology, in particular to a rate-adaptive short-wave OTFS communication and detection integrated transmission method, which comprises the following steps of: modulating a signal by adopting an OTFS method, introducing a guard interval setting scheme to carry out rate-adaptive transmission, and transmitting by using different adaptive schemes in different channel environments. Meanwhile, delay-Doppler domain channel detection is carried out by using a single pilot frequency communication method so as to realize channel estimation and channel equalization; according to the invention, rate adaptive adjustment can be carried out on the change of a short-wave channel environment so as to realize high transmission connectivity rate.

A communication method and device, and a computer readable storage medium, the communication method comprising: receiving first information, the first information comprising a trigger signaling, the trigger signaling being used for triggering the transmission of a first channel sounding reference signal, the first channel sounding reference signal being a channel sounding reference signal for sensing, the first channel sounding reference signal being a channel sounding reference signal for sensing; the first channel detection reference signal is associated with a first physical uplink control channel; and sending the first channel detection reference signal, and reporting a sensing result by using the first physical uplink control channel. According to the scheme of the invention, an appropriate mechanism can be provided to configure the SRS, so that the SRS can perform the sensing function, and the sensing result is ensured to be reported successfully, so that the terminal and the network side can reliably realize the sensing function based on the SRS.

The invention relates to the technical field of acoustic signal processing. The three-dimensional sound event accurate identification and positioning method based on the AI and the multi-microphone array comprises the following steps: acquiring a multi-channel sound signal; performing framing windowing processing on the multi-channel sound signal to obtain time-frequency domain information; generating Mel feature information; performing spatio-temporal joint feature extraction to generate an initial event category and a three-dimensional direction code; generating multi-angle virtual sound field data through a simulation algorithm in combination with an attenuation relationship between a sound source direction and a microphone included angle; inputting a multi-channel sound signal acquired in real time into the optimized three-dimensional sound detection model for reasoning, and outputting an optimization event category and a three-dimensional direction code; and carrying out dynamic calibration, and generating a three-dimensional sound detection model after real-time calibration, so as to solve the problems that the multi-dimensional distribution characteristic capture capability of a three-dimensional sound field is insufficient, the model generalization capability is limited due to single data training and static environment hypothesis, and the real-time adaptability is insufficient under dynamic noise interference and long-term performance attenuation.

A system and method to determine a range between a first device (e.g., an object device) and a second device (e.g., a remote device) based on a characteristic of phase determined with respect to transmissions from a first device to the second device, and optionally a return transmission from the second device back to the first device.

A method performed by a station (STA) associated with a first access point (AP), wherein the first AP is part of a multi-AP (MAP) set comprising the first AP and at least a second AP, may compromise: receiving, from the second AP that the STA is not associated with, a null data packet announcement (NDPA) frame, the NDPA frame including a Special STA Info field including an association identifier (AID) relating to the association between the STA and the first AP; receiving a null data packet (NDP) frame from the second AP that the STA is not associated with; and transmitting, to the first AP, feedback based on the NDP frame.

Provided in the present application is a frame processing method, which is applied to a beamformee. The method comprises: in response to the current channel sounding frame of a beamformer, performing channel estimation on the current channel sounding frame, so as to obtain a channel estimation result; selecting at least one target receiving antenna port from among a plurality of receiving antenna ports of a beamformee; performing singular value decomposition on the channel estimation result on the basis of the target receiving antenna port, so as to obtain a singular value decomposition result; and determining reporting information corresponding to the singular value decomposition result, and sending to the beamformer a reporting frame carrying the reporting information. Further provided in the present application are a frame processing method which is applied to a beamformer, a network device, and a computer-readable storage medium.