130results about "Ultrasonic/sonic/infrasonic finder details" patented technology

A method and system for enhancing a target sound signal from multiple sound signals is provided. An array of an arbitrary number of sound sensors positioned in an arbitrary configuration receives the sound signals from multiple disparate sources. The sound signals comprise the target sound signal from a target sound source, and ambient noise signals. A sound source localization unit, an adaptive beamforming unit, and a noise reduction unit are in operative communication with the array of sound sensors. The sound source localization unit estimates a spatial location of the target sound signal from the received sound signals. The adaptive beamforming unit performs adaptive beamforming by steering a directivity pattern of the array of sound sensors in a direction of the spatial location of the target sound signal, thereby enhancing the target sound signal and partially suppressing the ambient noise signals, which are further suppressed by the noise reduction unit.

A sound processing apparatus includes a sound collection position calculating unit configured to calculate sound collection positions of sound signals of multiple channels on the basis of the sound signals, a sound source direction calculating unit configured to calculate a sound source direction on the basis of the sound signals of multiple channels, a first transfer function calculating unit configured to calculate a first transfer function corresponding to the sound source direction on the basis of the sound signals of multiple channels, and a second transfer function calculating unit configured to calculate a second transfer function by interpolating the first transfer function corresponding to each of a plurality of sound source directions.

Disclosed herein is a sound source direction detecting apparatus including: a plurality of microphones configured to collect sounds from a sound source in order to form an audio frame; a frequency decomposition section configured to decompose the audio frame into frequency components; an error range determination section configured to determine the effects of noises collected together with the sounds as an error range relative to phases; a power level dispersion section configured to disperse power levels of the sounds for each of the frequency components decomposed by the frequency decomposition section, on the basis of the error range determined by the error range determination section; a power level addition section configured to add the power levels dispersed by the power level dispersion section; and a sound source direction detection section configured to detect the direction of the sound source based on the phase at which is located the highest of the power levels added by the power level addition section.

The present invention generally relates to an audio signal or gesture detection. More specifically, the invention addresses an apparatus and a method for converting an audio signal detected by microphones or a gesture detected by an image sensing device into a directional indication of the source for the user.

The invention provides a signal processing device, a signal processing method and program thereof. The signal processing apparatus includes: a learning processing unit that finds a separating matrix for separating mixed signals in which outputs from a plurality of sound sources are mixed, by a learning process that applies ICA (Independent Component Analysis) to observed signals including the mixed signals; a separation processing unit that applies the separating matrix to the observed signals to separate the mixed signals and generate separated signals corresponding to each of the sound sources; and a sound source direction estimating unit that computes a sound source direction of each of the generated separated signals. The sound source direction estimating unit calculates cross-covariance matrices between the observed signals and the separated signals in corresponding time segments in time-frequency domain, computes phase differences between elements of the cross-covariance matrices, and computes a sound source direction corresponding to each of the separated signals by applying the computed phase differences.

A portable threat detection apparatus and method is disclosed which may comprise a plurality of acoustic emission sensors arranged in a cluster, forming a polygon defining at least two axes of alignment between respective pairs of acoustic emission sensors; a computing device in cooperation with a non-transitory computer readable storage medium comprising computer readable instructions for performing: receiving a first signal produced by a first acoustic emission sensor within a respective pair of acoustic emission sensors, in response to the first acoustic emission sensor detecting an acoustic emission from a source, and receiving a second signal produced by a second acoustic emission sensor within the respective pair of acoustic emission sensors, in response to the second acoustic emission sensor detecting the acoustic emission; determining a cross-correlation factor between the first signal and the second signal; and, determining a bearing to the source based on the cross correlation factor.

A distributed fiber optic acoustic sensing system comprises an elongate body having an outer surface, an optical fiber disposed on the outer surface at a first predetermined wrap angle, and light transmitting and receiving means optically connected to the fiber for. The elongate body may include at least one substantially flat face, and / or a layer of swellable elastomer surrounding the body, and / or an outer elastomeric tube surrounding the elastomer layer. There may be at least one sensor pad disposed in the outer layer, the sensor pad comprising a stiffener and at least one longitudinal fiber affixed thereto or embedded therein. There may be a body of protective material surrounding the tube, which may have an outer surface that includes at least one substantially flat face and at least one sensor pad disposed in the body.

A distance sensor for vehicles is provided which includes a sensor device and an electric connector for an electrical connection between the sensor device and a mating connector. The connector includes at least one first terminal pin and at least one second terminal pin. The first terminal pin has a first section leading to the sensor device and a second section extending toward an inlet opening of the connector. The second terminal pin has a first section leading to the sensor device and at least two branched second sections extending toward the inlet opening of the connector. Specifically, the second terminal pin is shaped to provide two-pin plugs, thereby permitting the size of the connector to be reduced, which facilitates ease of installation of the distance sensor to, for example, a bumper of the automotive vehicle.

User-wearable sensor arrays for use with projectile-detection systems, and methods of detecting a projectile with user-wearable sensor arrays.

A method and a system are provided, in which acoustic signals received by distributed acoustic sensors are processed in order to determine the position of a source or sources of the acoustic signals. The method and system are able to determine the position of several acoustic sources simultaneously, by measuring the corresponding several acoustic signals. Furthermore, the strength of the acoustic signal or signals can be determined. The location of the acoustic source may be overlaid on a map of an area being monitored, or be used to generate an alarm if perceived to correspond to a threat or an intrusion, for example in a pipeline monitoring application. Alternatively, the method and systems can be used to monitor a hydraulic fracturing process.

The sound source tracking device of the present invention comprises a plurality of differential microphones having bidirectionality, and a support member adapted to support the plurality of differential microphones such that the plurality of differential microphones are disposed in an array within a given plane. The plurality of differential microphones are supported on the support member such that their principal axes of directionality are approximately orthogonal to the given plane.

The invention provides a sound source positioning method and apparatus. A plurality of independent sound sensors with identical characteristics are arranged on a ball machine in advance; and any two sound sensors are separated at a preset interval, wherein the preset interval is smaller than the diameter of the ball machine; and the orientations of sound sensors are identical. The method comprises: multiple sound sensors are used for collecting sound time-domain data from a same sound source; the sound time-domain data collected by each sound sensor are converted into sound frequency-domain data; according to the sound frequency-domain data corresponding to the sound sensor, a high frequency ratio value corresponding to the sound sensor is calculated; and according to the high frequency ratio values corresponding to all sound sensors, a direction of the sound source is determined, wherein the direction of the sound source is the orientation of the sound sensor or a direction opposite to the sound sensor. Therefore, a sound source can be localized by a ball machine in a 360-degree range; and the sound source positioning accuracy is improved.

A technique for suppressing interference with unknown phase shifts received by an array of sensor elements partitions the array into a plurality of subarrays. Each subarray is processed independently to suppress the interference. Next, the resulting data from each subarray are summed together. This summed data, which effectively represents data provided by the full array with interference suppressed, may be utilized to detect and / or localize a target of interest. Each subarray is processed independently of all other subarrays. No cross-subarray processing is required. This technique is applicable to linear arrays, multi-line arrays, planar arrays, cylindrical arrays, conformal arrays, and spherical arrays. Applicable sensors include acoustic sensors (e.g., sonar, ultrasonic), electromagnetic sensors (e.g. radar), and optical sensors (e.g., infrared, ultraviolet, visible light).

The invention as disclosed is of a combined acoustic pressure and acoustic vector sensor array, where multiple acoustic pressure sensors are integrated with an acoustic vector sensor in a towed array as a means of resolving the left-right ambiguity of the multiple acoustic pressure sensors.

A method and apparatus for auto-directive adaptive beamforming for a microphone array using microelectromechanical systems (MEMS) sensor orientation information are provided. The microphone array captures audio and the MEMS sensor detects an orientation of the microphone array. A direction of arrival of a source signal is estimated based on the data representative of the audio. A change in an orientation of the microphone array is detected based on the orientation and the direction of arrival is compensates based on the change in the orientation of the microphone array. The apparatus pre-steers a beam of a beam pattern of the microphone array based on the compensated direction of arrival to retain the source signal in a broadside of the microphone array and performs adaptive wideband beamforming to null one or more interfering sources in the beam pattern while retaining the source signal in the broadside of the microphone array.

The invention discloses a robot voice addressed rotation system and a method thereof. The robot voice addressed rotation system comprises a voice activity detection unit used for detecting a received voice signal and judging whether a user sends out a voice signal or not, a voice addressed unit used for calculating the addressing angle of the voice signal, and a voice addressed rotation unit used for driving a robot to turn to the direction of the voice source of the voice signal according to the addressing angle of the voice signal. In this way, the voice recognition accuracy can be improved. Meanwhile, the voice recognition accuracy and the signal-to-noise ratio are improved. Based on the robot voice addressed rotation method, the voice signal sent from the user can be accurately and effectively obtained. Therefore, the signal-to-noise ratio and the voice recognition accuracy are improved.

A method and system for locating a sound source within a defined area in which the sound data is collected with a plurality of spaced apart microphones. The sound data received by the microphones is processed to form a cross spectral density matrix containing vectors of cross correlations and auto correlations of the sound data. A replica vector matrix containing sound data from at least one test sound at a plurality of predetermined locations within the defined area is then constructed. The sound data vectors in the cross spectral density matrix are then projected on the replica vectors in the replica vector matrix to obtain a probability of the location of the sound source at each predetermined location within the defined area. These probabilities form a distribution within the defined area in which the largest probability distribution correlates with the location of the sound source.

The invention relates to a device for matched positioning by repeatedly determining the direction of a target through sound wave application, in particular to a microphone array in a sound source orienting device. The microphone array in the sound source orienting device comprises four microphones, a supporting frame, a rotating bar, a rotating shaft and an included angle measuring mechanism. The rotating bar of the microphone array in the sound source orienting device can rotate along the rotating shaft, in the using process, the microphone array is opened along the shaft, so that different included angles are formed, the four microphones form a geometric structure change array in three-dimensional space, hence, the target can be repeatedly oriented, the orienting accuracy is improved, when the microphone array is not used, the rotating bar of the microphone array is rotated to be in the state that the array included angle is zero degree, and the defects that a microphone array in an existing sound source orienting device is fixed in structure, so that the occupied space is large, transporting and carrying are not convenient, in the target locating process, a single array is used for receiving sound source signals, locating can be limited by the size and the geometric structure of the array easily, and thus the adaptability and practicability of the sound source orienting device are greatly lowered can be overcome.

The invention relates to a torpedo homing beam sharpening method which can effectively improve resolving capability of a torpedo on a plurality of targets in different positions in space. The method is characterized by aiming at a torpedo homing acoustic base array. Through selecting different weighting coefficients for array element received signals of the base array to perform weighted summation, two wave beams are formed on the same direction in the space at the same time, and one beam is narrow in main lobe and high in side lobe, and the other beam is wide in main lobe and low in side lobe, respectively realizing to reduce beam main lobe and restrain beam side lobe. A combined processing of weighting corresponding products by using the two beam signals with different main lobe and side lobe characteristics and envelope, and the side lobe is recued while further sharpening the beam main lobe, so as to obtain a sharpened beam signal with low side lobe, thereby improving position resolving capability of the beam. The method is low in calculated amount, good in robustness, and good in adaptation capability. The method is especially suitable to be used in application environment where the number of space signal sources is unknown or each signal source has relatively strong correlation. The method has good engineering practicality, and can improve multi-target spatial position resolving capability of a torpedo.

A portable threat detection apparatus and method is disclosed which may comprise a plurality of acoustic emission sensors arranged in a cluster, forming a polygon defining at least two axes of alignment between respective pairs of acoustic emission sensors; a computing device in cooperation with a non-transitory computer readable storage medium comprising computer readable instructions for performing: receiving a first signal produced by a first acoustic emission sensor within a respective pair of acoustic emission sensors, in response to the first acoustic emission sensor detecting an acoustic emission from a source, and receiving a second signal produced by a second acoustic emission sensor within the respective pair of acoustic emission sensors, in response to the second acoustic emission sensor detecting the acoustic emission; determining a cross-correlation factor between the first signal and the second signal; and, determining a bearing to the source based on the cross correlation factor.

Systems for analyzing acoustic waves are provided. An exemplary system includes a housing, multiple acoustic passageways and an acoustic sensor. The housing defines an interior cavity. The multiple acoustic passageways communicate acoustically between the interior cavity and an exterior of the housing. Each of the acoustic passageways has an inlet port and an outlet port, with each outlet port being located within the housing to direct a portion of an acoustic wave to the interior cavity. The acoustic sensor is mounted within the interior cavity and is operative to receive portions of an acoustic wave directed to the interior cavity by the acoustic passageways. The acoustic sensor also is operative to provide information such as direction of arrival information corresponding to a composite waveform formed by acoustic interference, within the interior cavity, of the portions of the acoustic wave. Methods and other systems also are provided.

The disclosed invention is a highly reliable cost effective sound direction detection system. In the preferred embodiment of the invention the system comprises a device which includes two microphones set at a spread of at lease 5 cm from each other, a digital signal processing (DSP) and a command processing board. A pattern recognition algorithm allows the system to recognize the signal of an actual event and distinguish it from echoes and reflections according to several parameters such as the signal's time of arrival, energy, amplitude levels and frequency. The pattern of the recorded signals is analyzed according to prevalent signal patterns and then the real event can be identified. By identifying the signal of the sound event and distinguishing it from background noises and from its reflections, the system can calculate its direction of arrival (DOA) using classical sound direction detection methods.

A discrete three-dimensional receiving element has multiple sensors scattered over its surface to detect and locate a signal. The sensors facing the signal detect the signal, and a boundary line is drawn between the sensor which detect the signal and those which don't. The strength of signal may also be detected. A plane is drawn through the receiver element, and the direction of the signal is determined as generally perpendicular to the plane, in the direction of the sensors which are receiving the signal. Distance to the source may also be determined based on signal strength. The location of the signal source may be transmitted to a remote location, or the receiver may direct an electromagnetic beam toward the source to detect further information about the source.