G01S11/04

REMOTE COMMUNICATION SYSTEM

A remote communication system includes a portable device; and a fixed system. The fixed system includes main communication modules; and a position estimating unit configured to estimate a position of the portable device, based on an incident angle of a signal from the portable device, upon detecting the signal by antennas provided in the main communication modules. When there are two main communication modules for which the incident angle is known, the position of the portable device is estimated based on the incident angle. When there is one main communication module for which the incident angle is known, the position of the portable device is estimated based on the incident angle and a received radio wave intensity of the signal. When there is no main communication module for which the incident angle is known, the position of the portable device is estimated based on the received radio wave intensity.

DRONE ENCROACHMENT AVOIDANCE MONITOR
20210343167 · 2021-11-04 ·

Disclosed are examples of systems, apparatus, methods and computer program products for locating unmanned aerial vehicles (UAVs). A region of airspace may be scanned with two scanning apparatuses. Each scanning apparatus may include one or more directional Radio Frequency (RF) antennae. The two scanning apparatuses may have different locations. Radio frequency signals emitted by a UAV can be received at each of the two scanning apparatuses. The received radio frequency signals can be processed to determine a first location of the UAV.

DRONE ENCROACHMENT AVOIDANCE MONITOR
20210343167 · 2021-11-04 ·

Disclosed are examples of systems, apparatus, methods and computer program products for locating unmanned aerial vehicles (UAVs). A region of airspace may be scanned with two scanning apparatuses. Each scanning apparatus may include one or more directional Radio Frequency (RF) antennae. The two scanning apparatuses may have different locations. Radio frequency signals emitted by a UAV can be received at each of the two scanning apparatuses. The received radio frequency signals can be processed to determine a first location of the UAV.

Automatic adjusting photographing method and apparatus

A photographing method and apparatus are provided. The photographing method includes: identifying a photographing distance and a photographing angle with respect to the external device based on timings of signals transmitted and received through a communication connection; acquiring a scene image based on an output of a camera of the photographing device; identifying a current composition model based on the photographing distance, the photographing angle and the scene image; acquiring a set of photographing parameters that are associated with the current composition model; identifying a focal length based on the photographing distance and the current composition model; displaying a preview image based on the output of the camera, the photographing parameter and the current composition model; outputting the preview image as a photographing result based on a photographing instruction; and updating the set of photographing parameters based on the photographing parameter.

SYSTEM AND METHOD FOR DETERMINING GEOGRAPHIC LOCATION OF A DEVICE
20230139622 · 2023-05-04 ·

The disclosure is directed to a system for determining a geographic location of device. The system includes at least one antenna and a controller. The at least one antenna is configured to detect magnetic field signals. The controller is configured to identify a first set of magnetic field signals including one or more magnetic field signals having a change in angle of arrival less than or equal to a predetermined angle of arrival threshold value or a change in the location of a source less than or equal to a predetermined location threshold value. The controller is further configured to identify a second set of magnetic field signals including one or more magnetic field signals having signal strength range within a predefined signal strength range. The controller is further configured to determine a geographic location of a device based on the identified second set of magnetic field signals.

SYSTEM AND METHOD FOR DETERMINING GEOGRAPHIC LOCATION OF A DEVICE
20230139622 · 2023-05-04 ·

The disclosure is directed to a system for determining a geographic location of device. The system includes at least one antenna and a controller. The at least one antenna is configured to detect magnetic field signals. The controller is configured to identify a first set of magnetic field signals including one or more magnetic field signals having a change in angle of arrival less than or equal to a predetermined angle of arrival threshold value or a change in the location of a source less than or equal to a predetermined location threshold value. The controller is further configured to identify a second set of magnetic field signals including one or more magnetic field signals having signal strength range within a predefined signal strength range. The controller is further configured to determine a geographic location of a device based on the identified second set of magnetic field signals.

Audio parameter adjustment based on playback device separation distance

Embodiments disclosed herein include playback devices configured to operate in one or more playback configurations including configurations individual playback devices play back one or more corresponding channels of multichannel audio content. An audio parameter can be determined based on a distance between playback devices. In some examples, the audio parameter comprises a filter such as a low frequency filter that varies based on at least the distance between the playback devices. After the audio parameter is determined, the playback devices can play back audio content according to the determined audio parameter.

Multi-hop positioning

In one aspect, a process for position estimation entails obtaining (a) at least one direct distance estimate corresponding to a distance between one or more intervening devices, (b) at least one direct angle estimate corresponding to a spanning angle formed involving the one or more intervening devices, or both (a) and (b). Based on (a) the at least one direct distance estimate corresponding to the distance between devices including the one or more intervening devices, (b) the at least one direct angle estimate corresponding to the spanning angle formed involving the one or more intervening devices, or both (a) and (b), an indirect distance estimate between a first device and a second device or an indirect angle estimate involving the first device and the second device is determined. The first device and the second device may be out of range with respect to one another for a direct distance measurement.

Multi-hop positioning

In one aspect, a process for position estimation entails obtaining (a) at least one direct distance estimate corresponding to a distance between one or more intervening devices, (b) at least one direct angle estimate corresponding to a spanning angle formed involving the one or more intervening devices, or both (a) and (b). Based on (a) the at least one direct distance estimate corresponding to the distance between devices including the one or more intervening devices, (b) the at least one direct angle estimate corresponding to the spanning angle formed involving the one or more intervening devices, or both (a) and (b), an indirect distance estimate between a first device and a second device or an indirect angle estimate involving the first device and the second device is determined. The first device and the second device may be out of range with respect to one another for a direct distance measurement.

WIRELESS COMMUNICATION-BASED CLASSIFICATION OF OBJECTS
20220299593 · 2022-09-22 · ·

A method comprising receiving a dataset comprising data associated with a plurality of radio frequency (RF) wireless transmissions associated with a plurality of objects within a plurality of physical scenes, wherein the dataset comprises, with respect to each of the objects, at least: (i) signal parameters of the associated wireless transmissions, (ii) data included in the associated wireless transmissions, and (iii) locational parameters with respect to the object; at a training stage, training a machine learning model on a training set comprising the dataset and labels indicating a type of each of said objects; and at an inference stage, applying the trained machine learning model to a target dataset comprising signal parameters, data, and locational parameters obtained from wireless transmissions associated with a target object within a physical scene, to predict a type of the target object.