9 results about "Acoustic vector sensor" patented technology

The application relates to the technical field of data processing, in particular to an audio acquisition method, an electronic device and a storage medium. The audio acquisition method of the application uses an acoustic vector sensor (AVS) array with directivity as a pickup device, which is better than an omnidirectional microphone array, to acquire voice signals in a space, wherein each AVS in the AVS array comprises an omnidirectional microphone and a directional microphone, then the weights of the voice signals acquired by the omnidirectional microphone and the directional microphone in each AVS are adjusted according to a target direction, the voice signals of each AVS after enhancement in the target direction are obtained, then a designed super-directivity beamformer is applied to the enhanced signals acquired by each AVS for further enhancement processing, and the voice signals of the entire AVS array after enhancement in the target direction are obtained.

The application discloses a signal processing method and device of a three-dimensional integrated MEMS sound vector sensor, and belongs to the technical field of sound signals in a three-dimensional space. The application utilizes MEMS sound vector sensitive chips placed on two pairs of parallel corresponding sides, the sensitive directions of the four MEMS sound vector sensitive chips and the horizontal direction can be any angle, and the sound signal distribution in the three-dimensional space is obtained by solving the four vector velocity signals. Compared with a traditional orthogonal structure, the application can reduce the directional asymmetry problem caused by the MEMS sound vector sensitive chips not sharing a point, reduce the asymmetry of the axial sensitivity, and provide the possibility of the point correction of the back end. In addition, because the MEMS sound vector sensitive chips can be placed at any angle, the problem caused by the chip placement angle error during assembly can be reduced.

The invention is suitable for the technical field of sound source localization, and provides a small-space sound source localization system and method based on a triaxial acoustic sensor, and the system comprises a sensor module, an acquisition system, a processing system and an auxiliary module. The sensor module is a single three-axis acoustic vector sensor; the acquisition system comprises a signal conditioning circuit and a high-speed ADC (Analog to Digital Converter) and is used for conditioning and synchronously sampling signals acquired by the sensor module; the processing system comprises a data processing unit; the auxiliary module comprises a precision clock source and a temperature and humidity sensor, the precision clock source is used for ensuring the signal synchronization precision of each channel, and the temperature and humidity sensor is used for collecting environment temperature and humidity data in real time; according to the method, high-precision three-dimensional positioning can be realized only by a single sensor, the problems of complex deployment, high cost, difficult synchronization and the like of a traditional multi-sensor array system are solved, and the method is particularly suitable for industrial equipment fault diagnosis, abnormal sound source tracking and other small-space application scenes.

The application discloses a device and a method for measuring the local density of states of a sound field, and the measuring device comprises a sound source, a square waveguide, a MEMS silicon microphone and an acoustic vector sensor; one end of the square waveguide is connected with the sound source, and the other end is embedded with the MEMS silicon microphone and the acoustic vector sensor which are attached to the inner wall of the square waveguide. By measuring the particle velocity of the end surface of the waveguide, the volume flow rate of the waveguide into the measured structure can be obtained, and the local density of states of the measured structure can be calculated by combining the sound pressure obtained by the MEMS silicon microphone. The application overcomes the difficulty that the volume flow rate of the sound source in a narrow area cannot be accurately measured by using the vector detection technology, realizes the experimental measurement of the local density of states of the sound field, can be applied to the characterization of acoustic structural materials, and provides guidance for the design of acoustic radiation structures.

The invention discloses a sound source localization method based on an NV-SRP neural network model, and relates to the technical field of sound source localization, and the sound source localization method based on the NV-SRP neural network model mainly comprises the steps: constructing a training and testing data set according to an acoustic vector sensor signal receiving model and an SRP-PHAT algorithm, and training the sound source localization network to obtain a trained sound source localization network, and predicting target sound source localization to obtain a prediction result. By implementing the sound source localization method based on the NV-SRP neural network model provided by the invention, the sound source localization precision and stability can be improved.

The application discloses a full-space acoustic vector sensor array calibration method and system, which comprises the following steps: constructing an acoustic vector sensor array, arranging at least three non-coplanar calibration sound sources around the array; obtaining acoustic signals, performing frequency domain processing, and obtaining frequency domain data of array sound pressure channels and particle velocity channels; constructing a first loss function with phase difference information as a physical constraint from the frequency domain data of the array sound pressure channels, training a position error estimation neural network established, and outputting position error parameters of each vector sensor in the array; updating the geometric model of the array, calculating the incident azimuth and elevation angle of the calibration sound source relative to each array element; constructing a second loss function with energy projection information as a physical constraint from the incident azimuth and elevation angle and the frequency domain data of the particle velocity channels, training an orientation error estimation neural network established, and outputting orientation error parameters of each vector sensor; and completing array calibration from the position and orientation error parameters.

This invention discloses an intelligent early warning method and system for collision avoidance of vehicles in underground mines, relating to the field of underground mine vehicles. The method includes: deploying a composite detection array containing a differential pressure sensor and an acoustic vector sensor at the edge of the rock wall at the intersection of underground mine roadways; collecting the air pressure wave generated by the vehicle's exhaust in the blind spot using the differential pressure sensor and extracting the pressure rise gradient; simultaneously collecting the diffracted sound wave formed by exhaust noise bypassing the rock wall edge using the acoustic vector sensor and extracting the continuous change in Doppler frequency shift; inputting both into a pre-trained motion state analytical model, outputting the absolute approach distance and relative speed of the vehicle in the blind spot, and executing collision avoidance early warning intervention when a preset threshold is met. This invention solves the problem of traditional sensor failure and multipath fading leading to extremely unreliable ranging in complex blind spot corners of underground mines, which easily triggers sudden collisions.

The invention provides a sound source orientation estimation method and device based on an acoustic vector sensor, and relates to the technical field of acoustics, and the method comprises the steps: constructing an actual measurement model of the acoustic vector sensor; obtaining sensitivity levels corresponding to each channel of the acoustic vector sensor under multiple frequencies, and determining an amplitude-frequency response function according to the sensitivity levels; establishing a polynomial fitting model of the amplitude-frequency response according to the amplitude-frequency response function, and determining an optimal fitting polynomial of the amplitude-frequency response data based on the polynomial fitting model; compensating an actual measurement model of the acoustic vector sensor according to the optimal fitting polynomial to obtain a compensation signal; determining an acoustic vector signal covariance matrix after amplitude-frequency response compensation according to the compensation signal; and a spatial spectrum function is constructed according to the acoustic vector signal covariance matrix, and the sound source orientation is determined based on the spatial spectrum function, so that the influence of non-ideal amplitude-frequency response of the acoustic vector sensor can be effectively suppressed, and the sound source orientation estimation precision is improved.

The invention provides an aircraft sound source positioning method and device based on a sound vector scalar fusion sound array. The method comprises the following steps: firstly, constructing an acoustic vector scalar fusion acoustic array by using an acoustic vector sensor and an acoustic pressure scalar microphone which are used for simultaneously measuring a three-dimensional acoustic vector and an acoustic pressure scalar, measuring an acoustic signal emitted by a sound source of a target aircraft, and establishing a far-field signal receiving model of the acoustic vector scalar fusion acoustic array; then, projecting an acoustic vector signal of the acoustic vector scalar fusion acoustic array to an observation direction to obtain an acoustic pressure signal expression after spatial filtering of an acoustic vector sensor, and converting a receiving signal model of the acoustic vector scalar fusion acoustic array into a receiving signal model in the observation direction, which is completely formed by acoustic pressure signal forms; and finally, for the signal receiving models in different observation directions, a beam forming method or a subspace method is adopted, and sound source localization can be realized on the basis of suppressing environmental noise. Compared with a traditional sound pressure scalar sound array, the broadband sound source space position of the aircraft is obtained more accurately, and a basis is provided for aircraft acoustic performance test research, airworthiness evidence obtaining and model identification.