38results about "Direction finders" patented technology

The invention relates to a method (100) for enabling a positioning procedure, comprising the following steps at a device (10) in a communications network (1): - Determining (101) a position (52) and an orientation of an antenna (11) in relation to a reference point (51) and / or a reference mapping system (50) for the device (10), wherein the reference point (51) of the device (10) is defined by a reference position (51) based on the reference mapping system (50), - Mapping (102) the orientation of the antenna (11) in relation to an orientation of the device (10), wherein the orientation of the device (10) is specified by an orientation information based on the reference mapping system (50), - Generating (103) a message comprising the determined position and the mapped orientation of the antenna (11) of the device (10), - Transmitting (104) the message to at least one further entity (20) in the communications network (1) to enable a positioning procedure.

A positioning system (100) usable in an operating environment (20) is described, comprising: - one or more tags (110) comprising an identifier, a transceiver, and a control unit configured to periodically send localization messages (810) comprising the identifier via the transceiver; - a plurality of locators (120) comprising a transceiver and a control unit configured to receive one or more localization messages via the transceiver, and transmit a reading message (820) comprising the identifier of the tag; - one or more gateways (130) comprising a transceiver and a control unit configured to receive one or more reading messages via the transceiver, and forward the one or more reading messages via the transceiver; and - a remote processing system (180) comprising spatial information (20a; 20b) of said operating environment, the remote processing system being configured to receive the one or more reading messages forwarded by the one or more gateways, determine an approximate position of a tag within the operating environment, and apply a correction to the approximate position.

To provide a position measuring device capable of measuring a position of a moving body without emitting a radio wave to the moving body.SOLUTION: A position measuring device includes a receiving antenna section, an arrival direction estimation section, a detection section, an identification section, and a position calculation section. The receiving antenna section receives a radio wave emitted by an object moving body and generates a reception signal. The arrival direction estimation section estimates an arrival direction of the radio wave on the basis of the reception signal. The detection section detects an observation frequency which is a frequency of the radio wave received by the receiving antenna section on the basis of the reception signal. The identification section identifies a transmission frequency which is a frequency of the radio wave emitted by the object moving body on the basis of the reception signal. The position calculation section calculates a position of the object moving body on the basis of a result of estimating the arrival direction, a result of detecting the observation frequency, and the transmission frequency.SELECTED DRAWING: Figure 1

The application provides a direction of arrival (DOA) estimation method for a distributed sensor array based on a graph neural network, comprising the following steps: step 1, constructing a signal model of a distributed sensor array containing more than two sub-arrays; step 2, mapping array receiving signals into graph signals, and respectively constructing local and global graph structures and adjacency matrices; and step 3, after data preprocessing and label setting, building a network containing local and global GCN and determining a loss function. The method can effectively extract the correlation between array elements, has better robustness in a complex environment, and can more accurately perform DOA estimation.

To effectively address the diversification of hidden camera functions, better protect user privacy, and provide a portable, multi-functional detection device that is easy to carry, easy to use, relatively inexpensive, and advantageous for widespread adoption and use. [Solution] The device includes a housing 1, a handle 11 provided on the housing, a control circuit board 2 provided inside the housing, an infrared detector 3 and a red light generator provided on the housing, both of which are electrically connected to the control circuit board, the infrared detector is used to detect red light emitted from the camera, the red light generator is used to emit red light toward the camera, and a signal detection module 5 is further provided on the control circuit board, which is used to detect whether or not a communication signal is present in the surroundings.

To prevent a door from unintentionally opening upon an authentication device responding to an authentication key being in a place other than the authentication area.SOLUTION: A radio ID authentication device performs authentication processing for an authentication key by communicating with the authentication key with short-distance radio communication, comprising: a first antenna and a second antenna that are arranged in one side along an entry direction of a doorway, a calculation part that calculates a first distance between the first antenna and the authentication key as well as a second distance between the second antenna and the authentication key, and a determination part that verifies the authentication of the authentication key when conditions based on the first distance and the second distance are satisfied.SELECTED DRAWING: Figure 1

Embodiments of this application provide an angle determining method and apparatus. The method includes: A receiving device receives a first multi-tone signal, where the first multi-tone signal includes N1 frequencies, and N1 is an integer greater than or equal to 2; the receiving device performs phase measurement on the first multi-tone signal, and obtains first phase values that correspond to k antennas of a first device and that are at the N1 frequencies; and the receiving device determines an angle of a signal of the first device based on the obtained first phase values. The method disclosed in this application can implement fast and high-precision angle measurement.

Techniques are provided for multi-sensor pulse clustering. A system implementing the techniques according to an embodiment includes a pulse direction calculator configured to calculate a direction of arrival of a pulse received through an antenna array. The direction of arrival calculation is based on pulse phase measurement differences between elements of the antenna array. The system also includes a rotation transformer configured to align the direction of arrival to platform body or navigational coordinates. The system further includes a pilot vector comparator configured to match the aligned direction of arrival to one or more pilot vectors, the pilot vectors indicating directions of interest. In some embodiments, the pilot vectors are obtained from an emitter tracking system or from an operator of the platform. In some embodiments, the pilot vectors are based on an intersection of directions of arrival obtained from multiple antenna arrays.

TITLE: Device and method for very precise pointing of a decoy source. Device for very precise pointing of a decoy source comprising one or more galaxies of geolocation satellites regularly emitting, for each satellite, a wave train, three GNSS antennas arranged more than one meter apart, said antennas forming a planar triangle, the three heights of said triangle each having a length greater than one meter, said three antennas being positioned on the aircraft in such a way that they receive the signals emitted by the geolocation satellites, a means of comparing, for each selected satellite and at each instant, the time difference values ​​allowing to determine, if these time difference values ​​are respectively substantially equal to a predetermined value, greater than a few tens of nanoseconds,and in this case to determine that the signals sent by this satellite are not spoofed, and that otherwise the signals sent by this satellite are spoofed, a calculation method allowing precise targeting of the spoofing satellite, in the case where the method has determined that the selected satellite is spoofed, by constructing a trihedron with the antennas as its base and a point as its vertex indicating the direction of the spoofing satellite. Figure for the abbreviation: Figure 1,

The embodiments of the present disclosure relate to the technical field of signal processing. Disclosed are a MIMO sensor, a method for determining a direction-of-arrival approximation degree, and a target information matching method. The method for determining the direction-of-arrival approximation degree includes: respectively obtaining receiving vectors of a first target and a second target according to a processing result of a multi-channel echo signal, calculating a correlation coefficient between the receiving vectors of the first target and the second target, and determining a direction-of-arrival approximation degree between the first target and the second target according to the correlation coefficient. By means of the method for determining the direction-of-arrival approximation degree, the real-time performance of multi-channel echo signal processing can be improved.

In accordance with a first aspect of the present disclosure, a communication device is provided, comprising: an ultra-wideband (UWB) transceiver configured to communicate with an external communication device; a processing unit configured to switch the UWB transceiver between different transceiver modes of operation while the UWB transceiver receives or transmits a data frame; wherein the different transceiver modes of operation include a ranging mode, an angle-of-arrival (AoA) mode and / or a radar mode. In accordance with a second aspect of the present disclosure, a corresponding method of operating a communication device is conceived. In accordance with a third aspect of the present disclosure, a corresponding computer program is provided.

Example methods and systems for calibrating sensors using road map data are provided. An autonomous vehicle may use various vehicle sensors to assist in navigation. Within examples, the autonomous vehicle may calibrate vehicle sensors through performing a comparison or analysis between information about the environment received by sensors with similar information provided by map data (e.g., a road map). The autonomous vehicle may compare object locations as provided by the sensors and as shown by map data. Based on the comparison, the autonomous vehicle may adjust various sensors to accurately reflect the information as provided by the road map. In some instances, the autonomous vehicle may adjust the position, height, orientation, direction-of-focus, scaling, or other parameters of a sensor based on the information provided by a road map.

An advance warning system including an antenna pair and an RWR system to receive first, second and third signals for computing a frequency for all the signals and a phase difference between the signals. If the frequencies are within a threshold frequency difference and the phase difference is less than a threshold phase difference, two signals can be associated. If the frequencies are not within the threshold frequency difference, the RWR system generates a set of ambiguous angle of arrival AoA for the signals and correlates the two sets of ambiguous AoA to determine if there is a common AoA. If there is a common AoA, a third set of ambiguous angle of arrival AoA for a third signal is generated to determine if the three sets correlate. If there is a common AoA for all three signals, the three signals are associated.

A method comprising: digitally processing a plurality of RFID data transmissions received by at least one antenna assembly, each RFID data transmission having a same identifier, and comprising estimating a location of an RFID tag corresponding to the identifier of the plurality of RFID data transmissions at least based on: a location of a first antenna assembly receiving two or more first RFID data transmissions; and an orientation of a rotary antenna of the first antenna assembly when each of the two or more first RFID data transmissions were received by said rotary antenna; and estimating of the location of the RFID tag comprises obtaining the estimated location of the RFID tag at least based on an average of a number of RFID data transmissions per orientation of the rotary antenna receiving the two or more first RFID data transmissions. Also, a system, and a computing device or system.

A method comprising: digitally processing a plurality of RFID data transmissions received by at least one antenna assembly, each RFID data transmission having a same identifier, and comprising estimating a location of an RFID tag corresponding to the identifier of the plurality of RFID data transmissions at least based on: a location of a first antenna assembly receiving two or more first RFID data transmissions; and an orientation of a rotary antenna of the first antenna assembly when each of the two or more first RFID data transmissions were received by said rotary antenna; and estimating of the location of the RFID tag comprises obtaining the estimated location of the RFID tag at least based on an average of a number of RFID data transmissions per orientation of the rotary antenna receiving the two or more first RFID data transmissions. Also, a system, and a computing device or system.

The present invention pertains to a driver attitude detection device and a driver attitude detection method which can detect the attitude of a driver on a saddle-type vehicle. This driver attitude detection device comprises: at least two wireless receivers which are mounted to a saddle-type vehicle and which each have a plurality of antennas; at least one wireless transmitter mounted to an article worn by a driver of the saddle-type vehicle; a direction calculation unit that calculates the direction of the wireless transmitter with respect to the wireless receivers on the basis of phase information about a radio wave which is from the wireless transmitter and is received by the wireless receivers; a position calculation unit that calculates the position of the wireless transmitter with respect to the wireless receivers on the basis of direction data calculated by the direction calculation unit; and an attitude calculation unit that calculates the attitude of the driver with respect to the saddle-type vehicle on the basis of position data calculated by the position calculation unit.

The application provides a radio direction finding system and a multi-beam switching amplitude comparison direction finding method. The method comprises: constructing an amplitude difference sample library; receiving a target source signal through an antenna array, and controlling a time delay unit and an attenuation unit connected with each array element to switch beams with different spatial directions on a receiving channel; obtaining the amplitude of the target source signal under each beam; calculating the measured amplitude difference between the first beam with the maximum amplitude and the second beam with the second largest amplitude according to the amplitudes under all beams; matching the amplitude difference sample library according to the frequency of the target source signal and the number of the first beam to obtain a coarse azimuth; and calculating the actual azimuth of the target source signal based on the coarse azimuth through an interpolation algorithm. The application switches multiple beams with different directions, matches and interpolates calculation based on the pre-generated amplitude difference sample library, and realizes high-precision and high-stability radio azimuth measurement.

A portable multi-purpose detector, characterized in that it comprises a housing (1) wherein the housing (1) is provided with a handle (11), a control board (2) is arranged in the housing (1), and an infrared detector (3) and a red light generator (4) are arranged on the housing (1); wherein the infrared detector (3) and the red light generator (4) are both electrically connected to the control board (2); the infrared detector (3) serves to detect red light emitted by a camera; the red light generator (4) serves to emit red light in the direction of the camera; wherein the control board (2) is further provided with a signal detection module (5) which serves to detect whether a communication signal is present in the environment.

In some implementations, a mobile device can determine a set of target orientations for the mobile device in which antenna lobes of the mobile device are pointed toward satellites, the set of target orientations being based on the orientations of the antenna lobes relative to the mobile device and the locations of the satellites relative to the mobile device. The mobile device can determine a current orientation of the mobile device. The mobile device can provide guidance in a user interface (UI) of the mobile device for rotating the mobile device from the current orientation to an orientation within the set of target orientations.

This invention relates to a communication device, an information processing method, and a computer-readable storage medium, which improves the accuracy of distance measurement between multiple devices. The communication device includes: a wireless communication unit that wirelessly receives signals from other communication devices; and a control unit that estimates an extended signal matrix that minimizes a predetermined norm by using iterative calculations of a regularization parameter as a positive, minute amount, and estimates the reception time of a signal received by the wireless communication unit based on the extended signal matrix that minimizes the predetermined norm. The control unit performs the iterative calculations in multiple stages, sets the value of the regularization parameter used in iterative calculations after the second stage to a value greater than or equal to the value of the regularization parameter used in the iterative calculation of the previous stage, and changes the value of the regularization parameter in iterative calculations after the second stage based on the reception status of a second signal.

Systems and methods for rendering a three-dimensional space scene, in a virtual space, that includes location of one or more sources of intangible attributes are described. An exemplar method includes: (i) obtaining an intangible attribute dataset; (ii) modifying the intangible attribute dataset to produce a source identifying dataset; (iii) identifying, based on the source identifying dataset and without using the image value dataset, one or more of different types of the intangible attribute sources that produce the intangible attributes present inside the real space, (iv) determining, based on the source identifying dataset and without using the imaging data, one or more locations and / or direction of locations of one or more of the intangible attribute sources; and (v) displaying and / or causing to display, in the virtual space defined inside a user interface of an AR / VR headset, one or more of the locations and / or direction of locations of one or more of the intangible attribute sources.

A method of three-dimensional mapping using a projectile equipped with LIDAR, the method comprising: transmitting a signal to a light source to cause the light source to emit a plurality of light pulses, the light source being located on a spin projectile advancing along a predetermined path; receiving a plurality of reflected light pulses at the spin projectile, the plurality of reflected light pulses being responsive to the plurality of light pulses reflected from the object or terrain portion; determining a distance of the object or terrain portion from the light source; and generating a three-dimensional map of the object based on the determined distance of the object or terrain portion from the light source.

This system achieves highly accurate target tracking by taking into account the parameters of the observed data. [Solution] According to the tracking processing device of the embodiment, radio waves from a target are received, the direction and angle of arrival of the radio waves are calculated, the position at the next observation time is predicted, characteristic information of the radio waves observed within a correlation gate centered on the predicted position is collected, and the observation point of the radio waves that is most similar to the characteristic information of the target can be selected as the tracking target, thereby enabling highly accurate target tracking.

A tracker includes: a torque shaft in a tracking direction of rotation; a controller for managing the rotational position of the torque shaft; a drive for providing the tracking rotation to the torque shaft, and including a motor and a reduction system sandwiched between the motor and the torque shaft; and a revolution counter system for controlling and counting the number of revolutions, and the direction of rotation of the motor with respect to a zero position previously stored in the controller; the revolution counter system being communicated with the controller and the drive to allow control of the tracking rotation by means of the number of revolutions and the direction of rotation of the motor with respect to the zero position, detected by the revolution counter system. It allows greater tracking precision, avoiding operating in conditions in which a significant precision error has accumulated in the tracking position.

A radio wave arrival direction estimation device according to an embodiment includes an antenna angle acquisition unit that acquires each of antenna angles indicating a plurality of different directions in which antennas having non-uniform antenna patterns are sequentially directed, a reception intensity measurement unit that measures reception intensities at which the antenna has received a radio wave at each of the antenna angles acquired by the antenna angle acquisition unit, a matching degree Calculation unit that calculates a matching degree between the antenna angle acquired by the antenna angle acquisition unit and the reception intensity measured by the reception intensity measurement unit, and an antenna pattern of the antenna for each antenna angle acquired by the antenna angle acquisition unit, and an estimation unit that estimates an antenna angle at which the matching degree Calculated by the matching degree Calculation unit is the maximum as an arrival direction of the radio wave.

This invention discloses a method for estimating the spatial power spectrum of a small-aperture linear array based on ellipsoidal semi-axis measurement, comprising: S1. acquiring a time-domain data matrix; S2. calculating a frequency-domain data matrix; S3. calculating a set of frequency indices; S4. decimating the frequency-domain data matrix; S5. determining a set of scanning directions; S6. calculating a time compensation vector; S7. calculating a phase compensation matrix; S8. performing phase compensation on the decimated frequency-domain data matrix; S9. constructing and solving a positive semi-definite programming problem; S10. calculating the ellipsoidal semi-axis measurement; and S11. calculating the spatial power spectrum based on the ellipsoidal semi-axis measurement. This method directly utilizes the frequency-domain data matrix to estimate the spatial power spectrum, eliminating the need to calculate the signal covariance matrix or perform eigenvalue decomposition. While reducing computational complexity, compared to traditional spatial power spectrum estimation methods based on conventional beamformers, it is more advantageous for estimating target directions when the number of array elements is small or the element spacing is much smaller than half the signal wavelength.

The technology relates to detecting and responding to emergency vehicles. This may include using a plurality of microphones (152) to detect a siren noise corresponding to an emergency vehicle and to estimate a bearing of the emergency vehicle. This estimated bearing is compared to map information to identify a portion of roadway on which the emergency vehicle is traveling. In addition, information identifying a set of objects in the vehicle's environment as well as characteristics of those objects is received from a perception system is used to determine whether one of the set of objects corresponds to the emergency vehicle. How to respond to the emergency vehicle is determined based on the estimated bearing and identified road segments and the determination of whether one of the set of objects corresponds to the emergency vehicle. This determined response is then used to control the vehicle in an autonomous driving mode.

The application belongs to the technical field of array direction finding, and particularly relates to a circular array two-dimensional DOA estimation method based on graph signal processing. The method projects the measurement signal by constructing a directed graph between array elements and using an adjacency matrix thereof, and finally constructs a residual matrix to obtain the azimuth and elevation of the target signal. The application has good effects in various signal-to-noise ratio environments, and can accurately estimate the azimuth of the target and is simple and practical.

A positioning system (200) comprising a hybridized inertial measurement unit (IMU). The hybridized IMU comprises an inertial measurement unit (IMU) (202), hereafter referred to as IMU, a star tracker (203) enabling the observation of celestial bodies day and night, and a computer for calculating a position by hybridizing the measurements from the IMU and the star tracker. The star tracker (203) comprises an optical lens associated with an active pixel image sensor, enabling imaging of a field of view with a half-field θs between 2° and 10°; and a high-pass spectral filter with a cutoff wavelength between 600 nm and 850 nm. The relative position of the star tracker (203) and the IMU (202) is fixed. The star tracker and the UMI are mounted on a steerable mount (201) adapted to point the star tracker (203) in various directions with a pointing accuracy between 0.1° and θs. (Figure 2)