A system and method for tracking aircraft, helicopters and/or other objects at an airfield using acoustics of the aircraft, helicopters and/or other objects. A method receives first acoustical data at a first sensor and second acoustical data is also received at a second sensor. The first and second sensors may be carried by a first structurally supportive body member. Based at least in part on the first acoustical data and the second acoustical data a range and a bearing of the aircraft is determined from a predetermined location at the airfield. The range and bearing can be determined by using a beam forming algorithm. Based on the range and the bearing, the method displays the location the aircraft on a display.

Devices, systems, and methods provide direction finding of an acoustic signal source with respect to a voice-controlled device. The direction can be found without using elevation data, instead determining the horizontal location based on power values of the received signal. A large number of candidate vectors having values for azimuth, elevation, and power may be generated by a steered response power algorithm. The large number of vectors is reduced to a small number of reference azimuths spanning an azimuth range by associating the vectors with the closest reference azimuth and then calculating an average and/or maximum power of the associated vectors at each reference azimuth. The reference azimuth with the highest average (or maximum) power may be set as the direction of the signal source. Alternatively, each reference azimuth having an average (or maximum) power exceeding a threshold may be considered a direction of one of multiple sources.

A sound source localization apparatus is provided which can more surely detect a sound source located in a detection target region. The sound source localization apparatus includes a plurality of microphone and a buffle. The buffle has a first surface and a second surface. The second surface is a surface opposite to the first surface. The plurality of microphones are two-dimensionally arrayed and fixed in the first surface. The buffle allows the plurality of microphones to pick up direct sound arriving at the first surface and prevents the plurality of microphones from picking up direct sound arriving at the second surface.

A method for locating a target object includes: determining a plurality of position-orientation-distance-angle values, each including: a position of a user equipment (UE) relative to a reference position; an orientation of the UE relative to a reference orientation; a distance corresponding to the position of the UE, the distance being between the position of the UE and the target object based on wireless ranging signal(s) between the UE and the target object; and an angle corresponding to the position and orientation of the UE, the angle being an AoA of the wireless ranging signal(s) at a first and second antenna of the UE, where a combination of the position and orientation of the UE in each of the position-orientation-distance-angle values is different; and calculating a position of the target object using the plurality of position-orientation-distance-angle values, where the position of the target object is relative to the reference position.

Provided is a method for estimating a signal generation position based on signal strength, including: measuring a first signal strength which is a strength of a signal propagated from a generation position of the signal at a first measurement point; measuring a second signal strength which is a strength of the signal propagated from the generation position of the signal at a second measurement point distinguished from the first measurement point; calculating an attenuation constant of a medium to which the signal is propagated from the generation position up to the first measurement point and the second measurement point; and estimating the generation position by using the first signal strength, the second signal strength, and the attenuation constant, wherein the first measurement point, the second measurement point, and the generation position are present on one straight line. This method can be extended to estimate a signal generation point in 2D plane or 3D space.

Provided is a method for estimating a signal generation position based on signal strength, including: measuring a first signal strength which is a strength of a signal propagated from a generation position of the signal at a first measurement point; measuring a second signal strength which is a strength of the signal propagated from the generation position of the signal at a second measurement point distinguished from the first measurement point; calculating an attenuation constant of a medium to which the signal is propagated from the generation position up to the first measurement point and the second measurement point; and estimating the generation position by using the first signal strength, the second signal strength, and the attenuation constant, wherein the first measurement point, the second measurement point, and the generation position are present on one straight line. This method can be extended to estimate a signal generation point in 2D plane or 3D space.

Disclosed herein are system, apparatus, article of manufacture, method, and/or computer program product embodiments for a mobile device based control device locator. An embodiment operates by receiving a request to locate a control device, transmitting acoustic token transmission information to the control device to activate an electroacoustic transducer on the control device, receiving an acoustic signal including an acoustic token signal from the control device via a plurality of acoustic sensors, and determining distance information of the control device based on the received acoustic token signal generated by the electroacoustic transducer of the control device.

Disclosed herein are system, apparatus, article of manufacture, method, and/or computer program product embodiments for a mobile device based control device locator. An embodiment operates by receiving a request to locate a control device, transmitting acoustic token transmission information to the control device to activate an electroacoustic transducer on the control device, receiving an acoustic signal including an acoustic token signal from the control device via a plurality of acoustic sensors, and determining distance information of the control device based on the received acoustic token signal generated by the electroacoustic transducer of the control device.

A system configured to determine an estimated angle of arrival in reverberant environments. When a first device detects a calibration tone generated by a second device, the first device may generate multichannel audio representing the calibration tone and process the multichannel audio using a combination of detection filtering and subspace processing to determine a relative direction of the second device. For example, the first device may perform matched filtering to isolate a direct-path peak for the calibration tone, and then may sweep through all potential azimuth directions to identify an azimuth value corresponding to the direct-path peak. In some examples, the first device identifies a steering vector associated with a particular direction (e.g., signal subspace) that minimizes components in all other directions (e.g., noise subspace). The device may determine this steering vector independently for each frequency band and calculate the estimated angle of arrival by averaging results across frequency bands.

A system configured to determine an estimated angle of arrival in reverberant environments. When a first device detects a calibration tone generated by a second device, the first device may generate multichannel audio representing the calibration tone and process the multichannel audio using a combination of detection filtering and subspace processing to determine a relative direction of the second device. For example, the first device may perform matched filtering to isolate a direct-path peak for the calibration tone, and then may sweep through all potential azimuth directions to identify an azimuth value corresponding to the direct-path peak. In some examples, the first device identifies a steering vector associated with a particular direction (e.g., signal subspace) that minimizes components in all other directions (e.g., noise subspace). The device may determine this steering vector independently for each frequency band and calculate the estimated angle of arrival by averaging results across frequency bands.