214 results about "Vector sensor" patented technology

A system is described herein for monitoring the movement of one or more magnets located external to a device using the vector data from one or more magnetic vector sensors incorporated in the device to determine a position and/or to communicate information

The utility model relates to error correction of a vector sensor, in particular to a calibration and compensation method for mounting errors between a triaxial vector sensor and a mounting carrier, which calibrates and compensates the measuring result errors of the triaxial vector sensor due to mounting errors between the triaxial vector sensor and the mounting carrier. In the method, the calibration method for the mounting angle errors-psi angle, theta angle and gamma angle is as follows: a carrier coordinate system for a sealing shell of the triaxial vector sensor is calibrated; the mounting angle errors-psi angle, theta angle and gamma angle between the triaxial vector sensor and the mounting carrier is determined; the mounting angle error-psi angle between the triaxial vector sensor and the mounting carrier is determined; and a correction maths model aiming at the mounting angle errors between the triaxial vector sensor and the mounting carrier is finally determined according to the psi angle, theta angle and gamma angle obtained through calibration. The calibration and compensation method has simple correction process and accurate result, and is applied to the triaxial vector sensor with fixed measuring vectors in a measuring environment.

The invention relates to a target voice enhancement device. The device comprises an acoustic vector sensor used for acquiring an audio signal, a high-order space matching wave beam former, a nulling filter and a back Wiener filter, wherein wave beam processing on the audio signal acquired by the acoustic vector sensor is carried out through the high-order space matching wave beam former, the nulling filter and the back Wiener filter which are sequentially connected, and enhancement of a target direction voice is realized. The invention further provides a target voice enhancement method. According to the method, the sound source orientation information can be effectively utilized to inhibit a space interference source and background noise, the target direction voice can be enhanced, distortion of the target voice after enhancement is small, and a hearing perception evaluation score is relatively high. The device is advantaged in that the device has relatively low calculation complexity and has application and popularization values on micro equipment.

The invention discloses the three-axis magnetometer error correction technology based on a self-adaptive genetic algorithm. The technology comprises the following steps; 1, analyzing the influence of non-orthogonality of three shafts on a measurement result in the working process of a three-axis magnetometer, and deriving an error correction formula of a three-axis vector sensor; 2, establishing an optimizing model for inherent error parameter identification of the three-axis magnetometer; 3, conducting identification and solving on an inherent error parameter in the optimizing model for inherent error parameter identification by utilizing a self-adaptive genetic algorithm to obtain a vector value of the inherent error parameter; 4, putting the vector value of the inherent error parameter of the three-axis vector sensor into the error correction formula of the three-axis vector sensor to achieve correction of a measurement error. The three-axis magnetometer error correction technology based on the self-adaptive genetic algorithm has the advantages that the influence of an instrument system error on expected output is effectively reduced, the requirement on experiment operation and instrument equipment is low, and reliability of an experiment is high.

The invention provides a method for estimating the parameters of an underwater constant-speed vehicle based on a vertical vector array. According to the technical scheme of the invention, on a vertical array-based underwater vehicle noise measurement platform or an underwater vehicle detection platform, a Doppler frequency shift difference is generated according to different spatial information of each array element, and then the accurate Doppler frequency shift of each array element is obtained through the polynomial frequency-modulation wavelet transformation process. In combination with the pitch angle information of each vector sensor, the weighted nonlinear least squares of a joint multi-objective function is optimized and solved. Therefore, the joint estimation on the speed of an underwater vehicle, the depth of the underwater vehicle, the horizontal proximal distance of the underwater vehicle and the abeam distance thereof to different array elements is realized. The above method is simpler in implementation and higher in estimation accuracy. Based on the method, the parameter estimation robustness and the estimation speed are significantly increased.

The invention provides a camera displacement compensation method and device. The method comprises the following steps: establishing a space rectangular coordinate system, and computing the initial angle of a camera and a first object distance between the camera and a monitored object at an initial position; receiving the spatial position change information of the camera transmitted by a vector sensor when the position of the camera is changed; computing the second object distance and the second angle of the camera at a current position respectively according to the spatial position change information, the initial angle and the first object distance based on three coordinate axes of the space rectangular coordinate system; and driving a stepping motor to adjust the angle of the camera according to the initial angle and the second angle, and focusing according to the second object distance. Through adoption of the method and the device, anti-shock and anti-shake functions of the camera are realized.

The invention provides a speech enhancement method and system, computer equipment and a storage medium, and relates to the technical field of the human-machine speech interaction. The method comprisesthe following steps: collecting multi-channel acoustic signals through an acoustic vector sensor, preprocessing the multi-channel acoustic signals and acquiring a time-frequency spectrum, filtering the time-frequency spectrum and outputting a signal atlas; performing masking processing on the signal atlas through a nonlinear mask, and outputting an enhanced single-channel speech spectrogram; inputting the single-channel spectrogram into a deep neural network mask estimation model and outputting a mask spectrogram; performing time-frequency masking enhancement on the signal atlas through the mask spectrogram to acquire enhanced amplitude speech spectrogram; reconstructing through the enhanced amplitude speech spectrogram so as to output an enhanced target speech signal. The technical problem that the multi-channel speech enhancement is high in hardware cost, large in collection system volume, and high in operation complexity is solved, and the excellent speech enhancement effect can beacquired under difference interference noise types, strengths and room reverberation conditions.

The invention provides a monolingual sound source DOA estimation method based on an AVS and sparse representation. According to the method, the acoustic vector sensor is adopted to collect audio signals, high signal-to-noise ratio time frequency points are extracted by utilizing the trigonometric function relationship between the time frequency sparse characteristic of the voice signals and the receiving component of the AVS and adopting a sine track algorithm, and the ratio of data of a pressure gradient sensor to data of an all-around pressure sensor is calculated. On the basis, an over-complete dictionary sparse representation model for the ratio of data of the sensors is acquired through the spatial sparse characteristic of a sound source, and the monolingual sound source direction-of-arrival estimation problem is converted into a sparse vector solving problem. The sparse vector is solved with the l1-SVD method, the spatial power spectrum is calculated, and the DOA of the monolingual sound source can be obtained through calculation. The DOA of the monolingual sound source can be accurately estimated under conditions of different noise intensities and room reverberations with the method. Besides, a microphone array adopted for the method is small in size and only has the area of 1 cm<3>, and thus the method is very suitable for the voice technology for portable devices.

The present invention presents a method for use with an acoustic sensor array comprised of a number of pressure-vector sensors capable of sensing the acoustic scalar field and acoustic vector field of an acoustic wave. The method is a signal processing technique that utilizes nonlinear processing of pressure-vector sensor signals in the acoustic sensor array. The method involves the steps of receiving the sensor output values, processing the output values using a non-linear algorithm to create a mathematical series of values, transforming the series, applying weighting to the series and performing a summation of the values in the series to calculate the array directivity response. The array directivity response can then be further processed where the array is part of a sonar system.

A rotation sensor equipped wheel support bearing assembly detects rotational speed and rotational direction, in which a high resolution rotation signal is utilized in various vehicle controls with a suppressed size. The bearing assembly includes a plurality of rows of rolling elements between rolling surfaces in outer and inner members. A magnetic field generating element having anisotropy about a bearing center axis is provided in the outer member in alignment with the axis. The inner member is provided with a sensor for sensing the magnetic field of the magnetic field generating element oriented axially. The sensor detects the angle of rotation of the magnetic field generating element and is in the form of magnetic sensor arrays or elements for detecting the orientation of the magnetic field with a two-dimensional vector sensor to detect rotation of the magnetic field generating element.

The invention discloses an adaptive underwater sound decision feedback equalization method based on a single vector sensor. The method comprises steps that, signal synchronization for a sound signal received by the vector sensor is carried out; electronic rotation synthesis is exerted on a horizontal vibration velocity signal, and then weight synthesis of the horizontal vibration velocity signal and a sound pressure signal is carried out to acquire a sound pressure and horizontal vibration velocity synthesis signal; the sound pressure and horizontal vibration velocity synthesis signal and a vertical vibration velocity signal are respectively demodulated to a base band, the base band signal is inputted to a decision feedback equalizer; a feed-forward end of the decision feedback equalizer is embedded with a phase-locked ring, an inputted base band signal firstly enters the phase-locked ring; equal-gain combination of the sound pressure and horizontal vibration velocity synthesis signal and the vertical vibration velocity signal is carried out; inter-code interference generated for a symbol in detection is estimated by a feedback filter and subtracts with output of a forward-direction filter to realize inter-code interference inhibition, and emission signal recovery is further realized. Through the method, an error rate can be reduced, and communication system robustness is improved.

An underwater acoustic sensor is designed for attachment to a rigid or semi-rigid mounting structure. The sensor includes an outer casing and a secondary casing spaced therefrom. A compliance layer is disposed between the inner surface of the outer casing and the outer surface of the secondary casing. An inner sensor support is designed to attach to the mounting structure and is spaced from the inner surface of the secondary casing. A plurality of sensor elements are disposed between and interconnect the inner surface of the secondary casing and the sensor support.

The invention relates to a vector sensor unit for an underwater monitoring network. The vector sensor unit comprises a vector hydrophone, a vector detector and a corresponding signal processing module. The vector hydrophone comprises a sound pressure hydrophone and an accelerometer and is used for receiving underwater acoustic signals in the sea; the vector detector comprises a pressure detector and an acceleration detector and is used for acquiring seabed earth sound signals; the signal processing module has the functions of signal amplification, smoothing, sampling and communication and is used for completing signal processing and transmission. The vector sensor unit can be used for measuring underwater acoustic signals and earth sound signals in the sea simultaneously, measurement information is richer, measurement results are more reliable, and the vector sensor unit can be used for underwater guarding of ports, navigation channels and coasts, earthquake and tsunami warning, seabed oil and gas resource exploration, marine biological resource survey and other aspects.

The invention discloses a calculation method for underground magnetic navigation, comprising the following steps: step 1, preprocessing acquired magnetic signals by an underground magnetic navigation method; step 2, establishing a model for calculating the strength of induced magnetic fields generated at any point in space by a magnetic source; step 3, starting from a magnetic dipole model; step 4, solving the undetermined coefficient in a relational expression shown in the specification by adopting the least square linear fitting method; step 5, adopting the model established in step 3 to solve the relation among an azimuth, a hole deviation angle and the strengths of magnetic inductions generated by the magnetic source at any point in space in the directions of x, y and z through back calculation; step 6, adopting three pairs of magnetic field strengths in the directions of x, y and z acquired by three fluxgate type sensors; and step 7, judging the position of the magnetic source relative to a magnetic vector sensor. The method has the advantages of adopted artificial magnetic beacon, long navigation distance and high angle measurement precision. The calculation method is simple, can be programmed conveniently by a computer, and has high operation efficiency.

The invention relates to a multi-parameter water sound detection sensor. The multi-parameter water sound detection sensor mainly comprises a vector hydrophone, a sound pressure hydrophone, a positioning mass block, a watertight covering layer, a multi-core cable and the like, and aims to overcome the defect that not all parameters of the sound field can be represented by a single hydrophone while improving detection efficiency. The multi-parameter water sound detection sensor has the advantages that firstly, physical quantities of scalar and vector can be measured simultaneously and physical quantities of sound pressure and particle vibration velocity which are used for representing characteristics of the sound field can be acquired synchronously since the vector sensor and the sound pressure sensor are designed to be combined; secondly, defects caused when the vector sensor and a scalar sensor run respectively are overcome, and a convenient, easy and feasible means is provided for sound intensity parameter detection; thirdly, complete information of the sound field can be provided with a single processing system, interference resistance capacity during water sound detection and water sound detection capacity are improved, and the characteristics of the underwater sound field can be judged more accurately.

The invention provides a scheme for overlapping augmented reality information of intelligent machines in an omni-bearing mode in a real scene. Users can observe correct azimuths and ranges of peripheral geographical targets in an information overlapping window when placing the intelligent machines in any posture in three-dimensional space. Geographical names found by the users can be marked on real-scene video images, user client sides of the intelligent machines can conveniently observe the position and azimuth relations between the user client sides, and shops can widely issue advertising information of the shops through a service platform. The intelligent machines comprise all intelligent equipment such as mobile phones, tablet computers, notebook computers, camera heads with the posture sensing function and cameras with display windows and the posture sensing function, and wearable equipment such as glasses and gloves. Augmented real e-commerce, friend and shop finding, shop advertising information overlapped issuing, photogrammetry mapping, real-scene game and other functions can be achieved on Android and Apple systems of the intelligent machines. A method for overlapping the augmented reality information of the intelligent machines in the omni-bearing mode comprise two intelligent machine posture measuring methods for video information overlapping, the first method achieves intelligent machine posture measuring through rotary vector sensors, cooperation of accelerometers, magnetometers and gyroscopes is needed in the second method, and accuracy and stability are high.

A sensor array is configured based upon capacitive sensor techniques to measure stresses at various positions in a sheet simultaneously and allow a stress map to be obtained in near real-time. The device consists of single capacitive elements applied in a one or two dimensional array to measure the distribution of stresses across a mat surface in real-time as a function of position for manufacturing and test applications. In-plane and normal stresses in rolling bodies such as tires may thus be monitored.

A system, processor and method of use for calibration processing is provided to calibrate acoustic vector sensor data collected at comparatively close range. Vector sensor data collected at close range includes data collected with source-to-receiver separations ranging from a one-tenth to approximately two acoustic wavelengths. The calculations substantially account for the acoustic impedance of a spherically diverging wave front, where the curvature is sufficiently pronounced to cause errors in resulting measurements in the calculations. The processing uses information contained within the vector sensor data to increase the accuracy of the vector sensor data.

The invention discloses an underground magnetic navigation method. The method is characterized by comprising the following steps of: fixedly connecting a permanent magnet short joint with a drill bit; placing the permanent magnet short joint and a magnetic vector sensor into two vertical wells respectively; keeping the center of the permanent magnet short joint and the center of the magnetic vector sensor on the same straight line; continuously transmitting a stable magnetic signal by the permanent magnet short joint connected with the drill bit during the drilling of the drill bit; acquiring the magnetic signal transmitted by the permanent magnet short joint by the magnetic vector sensor; transmitting the signal to an over-ground computer by using a cable; analytically measuring the distance and the angle of the drill bit by the computer by using the acquired magnetic signal; calculating and determining the position of the drill bit in the well; transmitting information on the distance, azimuth, well deviation angle, and direction and position deviated from a normal track to the drill bit if the drill bit deflects at a moment; and righting the position of the drill bit to gradually return the drill bit to the normal track. The method has the advantages that: the structure is simple, the method is convenient to use, and an effective high-technology navigation technical means is provided for the communication of two wells.