315results about "Direction finders" patented technology

Systems and methods are provided for a digital beamformed phased array feed. The system may include a radome configured to allow electromagnetic waves to propagate; a multi-band software defined antenna array tile; a power and clock management subsystem configured to manage power and time of operation; a thermal management subsystem configured to dissipate heat generated by the multi-band software defined antenna array tile; and an enclosure assembly. The multi-band software defined antenna array tile may include a plurality of coupled dipole array antenna elements; a plurality of frequency converters; and a plurality of digital beamformers.

Systems and methods are provided for a digital beamformed phased array feed. The system may include a radome configured to allow electromagnetic waves to propagate; a multi-band software defined antenna array tile; a power and clock management subsystem configured to manage power and time of operation; a thermal management subsystem configured to dissipate heat generated by the multi-band software defined antenna array tile; and an enclosure assembly. The multi-band software defined antenna array tile may include a plurality of coupled dipole array antenna elements; a plurality of frequency converters; and a plurality of digital beamformers.

The technology disclosed relates to relates to providing command input to a machine under control. It further relates to gesturally interacting with the machine. The technology disclosed also relates to providing monitoring information about a process under control. The technology disclosed further relates to providing biometric information about an individual. The technology disclosed yet further relates to providing abstract features information (pose, grab strength, pinch strength, confidence, and so forth) about an individual.

A communication device for determining a position of a communication partner, wherein the communication device has a first circular antenna, at least one further circular antenna, a circuit board, and a communication module situated at the circuit board. The circuit board includes at least one first copper layer and a second copper layer. The first antenna has a first recess that is formed in the first copper layer, a first ground plane, and a first excitation structure. The at least one further antenna has a further recess that is formed in the first copper layer, a further ground plane, and a further excitation structure. The first ground plane is spaced apart from the further ground plane to electromagnetically decouple the first antenna from the at least one further antenna.

The invention provides a DOA estimation confrontation and defense method based on Transform disturbance filtering, belongs to the technical field of array signal processing, and solves the problem that an existing DOA estimation mode is poor in robustness. The method comprises the following steps: preprocessing an array signal sample to obtain a standard signal sample; summarizing standard signal samples corresponding to the array signal samples and DOA angle labels, and constructing a data sample set; training and verifying the target model by using the data sample set; applying disturbance to the array signal sample to obtain an adversarial sample, and preprocessing to obtain a standard adversarial sample; combining the standard signal samples and the corresponding standard adversarial samples to construct a mixed data sample set; training a Transform network by using the mixed data sample set; the Transform network and the target model are connected in series, and a DOA estimation defense model is obtained; and performing DOA estimation on the real-time array signal by using the DOA estimation defense model.

The invention belongs to the technical field of communication signal processing, and more specifically relates to a DOA estimation method based on self-supervised contrast learning under a non-ideal array. The invention provides a two-stage cascade DOA (direction of arrival) estimation framework. The framework is composed of two modules which are respectively a control reconstruction network (CRN) and a direction of arrival (DOA) estimation network (DEN), and the two modules are respectively a control reconstruction network (CRN) and a direction of arrival (DOA) estimation network (DEN). The CRN adopts self-supervised contrast learning to recover a covariance matrix, so that the network has robustness when facing array defects. And the DEN takes the reconstructed covariance matrix output by the CRN as input to complete a DOA estimation task. In order to improve the generalization ability of the network, non-ideal enhancement modes such as amplitude disturbance, phase disturbance and random array element shielding are introduced into a training sample, and a two-stage training strategy is adopted to optimize CRN and DEN network parameters respectively.

A method of estimating a relative position of a first robot with respect to a second robot at a current timestamp, wherein a first ultra-wideband (UWB) tag is installed on the first robot, the first UWB tag being a rotating tag configured to move in a circular path about a centre of rotation on the first robot, wherein a second UWB tag is installed on the second robot, the method comprising: receiving an estimate of the relative position of the first robot with respect to the second robot calculated at an earlier timestamp; obtaining rotating tag offset values of the first UWB tag with respect to the first robot at the earlier timestamp and at the current timestamp; obtaining a velocity value of the first robot at the earlier timestamp; obtaining a velocity value of the second robot at the earlier timestamp; obtaining distance values between the first UWB tag and the second UWB tag at the earlier timestamp and at the current timestamp; and calculating the relative position of the first robot with respect to the second robot at the current timestamp according to: the estimate of the relative position calculated at the earlier timestamp, the rotating tag offset values of the first UWB tag with respect to the first robot at the earlier timestamp and at the current timestamp, the velocity values of the first robot at the earlier timestamp, the velocity values of the second robot at the earlier timestamp, and the distance values between the first UWB tag and the second UWB tag at the earlier timestamp and at the current timestamp.

Provided are a fling mobile body, a flight position estimation method, a computer program, and a flight position estimation system that make it possible to estimate a flight position of the flying mobile body with high accuracy. The flying mobile body comprising: a receiver; and a control device. The receiver receives a terrestrial broadcast signal transmitted from a broadcasting station. The control device executes a step of estimating a flight position of the flying mobile body based on the received terrestrial broadcast signal.

The invention discloses a one-dimensional out-of-lattice DOA estimation method based on deep learning. The method comprises the following steps: acquiring IQ signal data and a corresponding angle label in a training stage; performing covariance matrix preprocessing on the IQ signal data to obtain training signal data; preprocessing the angle label, and segmenting the angle label into an integer part and a decimal residual offset; configuring an improved binary cross entropy loss function and an evaluation function to construct an off-grid DOA neural network model, inputting the training signal data and the preprocessed angle label into the off-grid DOA neural network model for model training, and generating an off-grid DOA neural network model weight; acquiring IQ signal data in an identification stage; performing covariance matrix preprocessing on the IQ signal data in the identification stage to obtain M * M * 2 identification signal data; and inputting the identification signal data into the off-grid DOA neural network model, and loading a corresponding off-grid DOA neural network model weight to obtain a corresponding angle prediction value.

A sensor (1) includes: a living body component extractor (24-1, etc.) that receives, by a reception array antenna, a signal transmitted from each of one or more transmitting stations (10-1, etc.) and influenced by a living body, and extracts a signal component influenced by the living body from the signal received; a position spectrum function calculator (25-1) that calculates as many position spectrum functions as a total number of combinations of the one or more transmitting stations (10-1, etc.) and one or more receiving stations (20-1, etc.), the position spectrum functions each being calculated from the signal component and corresponding to a likelihood of a position of the living body; a weight function calculator (30) that calculates as many weight functions as the total number of the combinations of the one or more transmitting stations (10-1, etc.) and the one or more receiving stations (20-1, etc.), the weight functions each representing reliability of a position spectrum function of a corresponding receiving station (20-1, etc.) at each coordinate in a measurement range; an integrated position spectrum function calculator (40) that outputs an integrated position spectrum function obtained using the position spectrum functions and the weight functions; and a position estimator (50) that estimates the position of the living body by detecting a maximum value from the integrated position spectrum function.

Provided is a positioning apparatus capable of quickly calculating a highly accurate distance measurement result.　This positioning apparatus comprises: an antenna unit having N (N is an integer greater than or equal to 3) antenna elements including a plurality of pairs of antenna elements; a selection unit that selects a pair of antenna elements of which the quality of phase difference is greater than or equal to a predetermined level, on the basis of a phase difference between phases when each pair of antenna elements of the plurality of pairs receives a signal from a device of which the position is being measured; and a distance measuring unit that measures the distance between the antenna unit and the device of which the position is being measured, on the basis of the phase of a signal communicated between one antenna element of the pair of antenna elements selected by the selection unit and the device of which the position is being measured.

The present application relates to the technical field of data processing, and provides an analysis method and apparatus for audio collection. The method comprises: first, acquiring an audio signal of a stereo sound collected by a terminal device; parsing the audio signal of the stereo sound to obtain audio data respectively corresponding to a plurality of sound channels; then determining parameter information of the stereo sound on the basis of the audio data respectively corresponding to the plurality of sound channels; and according to the parameter information of the stereo sound, analyzing index information of the terminal device for a stereo sound audio collection capability. By applying the technical solution of the present application, the stereo sound collection performance of the terminal device can be analyzed in light of stereo sound parameters obtained by means of actual measurement, so that accurate analysis of the stereo sound audio collection capability of the terminal device can be achieved, and the analysis accuracy of stereo sound audio collection is improved.

A device and method for identification of at least one object in an image registered with an image registration device, wherein each of the at least one object is provided with a wireless tag, the device comprising at least one sensor for registering a wireless signal from the wireless tag and for registering at least one direction to the wireless tag. The wireless signal comprises information for identification of the object.

A satellite tracking system and method, a three-point peaking technique is used to determine the direction of a satellite 50 which includes a signal source. A Kalman filter is used to minimize the effects of noise in the received signal during the three-point peaking operation. This determination may be made at any time. Once the position of a satellite 50 has been determined twice over a time interval, its future position may be estimated by an adaptive continuous step track technique, using a Kalman filter, which assumes that the satellite moves uniformly with time as viewed from the antenna.

A frequency estimation method based on time-delay sampling is suitable for signal processing in an engineering scene in which leaf end timing, nondestructive testing or passive radar is difficult to deploy a high-sampling-rate or multi-sampling-rate system, and comprises the following steps: uniformly sampling signals by using two channels with the same sampling period; the time delay and the sampling period of the two sampling channels are relatively prime; carrying out Hilbert transformation preprocessing on data points of the two sampling channels, and solving aliasing frequency in cooperation with an ESPRIT algorithm; changing the initial position of the analysis data to construct a plurality of delay schemes, and repeating the step S2 to obtain equivalent sampling frequencies and equivalent aliasing frequencies under different delay schemes; according to the equivalent aliasing frequency, calculating two remainder frequencies under each delay scheme; and performing traversal solution on the congruence equation set with the equivalent sampling frequency as the modulus and the remainder frequency as the remainder by using the Chinese remainder theorem, and obtaining the target frequency in combination with the consistency criterion and the minimum estimation criterion.

A localization device provides localization between a user and an autonomous vehicle. The device is embedded in user equipment or in the autonomous vehicle. An electronic circuit of the device exchanges RF signals with another localization device embedded in the autonomous vehicle or in the user equipment respectively. A measurement of at least a distance, by direct means like time of flight or indirect means, is made between the user equipment and the autonomous vehicle using the RF signals exchanges. The localizing of the autonomous vehicle or the user equipment, respectively, is made using the measured distance.

This invention belongs to the field of broadband array signal processing technology, specifically relating to a broadband signal direction-of-arrival (DOA) estimation method based on virtual interference suppression. The method comprises the following steps: Dataset construction: Based on simulation data, array observation covariance matrices with different signal-to-noise ratios and directions, along with corresponding virtual interference matrices, are generated. These matrices are then preprocessed and post-processed, and the processed matrices are used as samples and labels in the dataset. Model training: A machine learning model is trained using the constructed dataset. DOA estimation: The preprocessed array output vector covariance matrix is ​​input into the trained machine learning model. The virtual interference matrix is ​​obtained from the machine learning model's output and then rank-1 covariance matrix is ​​obtained through loading. Finally, the spatial spectrum is estimated using a subspace orthogonality method, and the direction corresponding to the peak position of the spatial spectrum is the DOA.

The application relates to the field of signal processing and discloses a multi-baseline phase interferometer virtual phase line boundary folding processing method and system. The method comprises the following steps: performing sub-interferometer division, and generating an initial candidate modulus pair set based on system physical constraints; performing boundary folding detection on a measured phase pair, and judging whether the measured phase pair falls into a boundary dangerous area; if folding risk is detected, corresponding virtual modulus pairs are generated, the initial candidate modulus pair set is expanded by using the virtual modulus pairs, and an expanded candidate set is formed; based on a minimum linearization error criterion, an optimal modulus pair most matched with the measured phase pair is selected from the expanded candidate set; a global ambiguity vector is solved step by step, and finally, a signal angle of arrival is estimated. Through active identification and compensation of boundary folding effects, the robustness and accuracy of angle measurement under low signal-to-noise ratio conditions are significantly improved.

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.

Methods, systems, and devices for wireless communications are described. A first wireless device (e.g., a user equipment (UE) or a network entity) may identify a set of estimates of distance for a plurality of devices in a first direction between the first wireless device and a second wireless device. The first wireless device may identify a possible location using a pair of coordinate values for a second direction and a third direction, where the possible location is for the second wireless device in relation to the first wireless device. Based on the set of estimates of distance and the possible location of the second wireless device, the first wireless device may determine a set of parameters for a three-dimensional beamforming procedure, the set of parameters including inputs to the three-dimensional beamforming procedure. The first wireless device may communicate with the second wireless device in accordance with the three-dimensional beamforming procedure.

A method performed by a radio base station to determine the physical orientation of an antenna array, in a wireless communications network. The radio base station is equipped with the antenna array and capable of dynamically shaping the radiation pattern of the antenna array. The method comprises receiving (401) communication reference signals from known devices with known locations. Estimated (402) directions to respective device are obtained using the received communication reference signals. A determined (403) absolute orientation of the antenna array is obtained, based on the known locations of the known devices and the estimated directions to the known devices. The method comprises performing remedial network management procedures when the determined orientation of the antenna array differs from a nominal value for the antenna orientation and / or to shape (404) the radiation pattern of the antenna array (11) based on the determined orientation.

This invention provides a method and system for detecting unknown radio wave sources for radio wave users. [Solution] The present invention relates to a detection method for detecting an unknown radio wave source using a drone. In this detection method, the peak direction θa with the greatest intensity is detected from the radio wave signal received when a drone 200A equipped with a directional receiving antenna is rotated at a known first measurement position, and the peak direction θb with the greatest intensity is detected from the radio wave signal received when a drone 200B equipped with a directional receiving antenna is rotated at a known second measurement position, and the position of the radio wave source is calculated based on the first and second measurement positions and the peak directions θa and θb.

The invention provides a positioning method, a communication system and electronic equipment, and relates to the field of communication.The positioning method comprises the steps that the communication system can determine the Doppler frequency shift change rate and the positioning basic measurement quantity when a terminal in a moving state moves relative to network equipment, and then the positioning basic measurement quantity is calculated according to the Doppler frequency shift change rate and the positioning basic measurement quantity; and estimating the position of the terminal based on the positioning basic measurement quantity and the Doppler frequency shift change rate. Next, the communication system may correct the estimated position of the terminal. Wherein the Doppler frequency shift change rate and the positioning basic measurement quantity can be used for reducing position calculation errors caused by reasons such as the moving speed of the terminal and the transmission time delay of related parameters, so that the positioning precision of the terminal is improved.

Embodiments of this application provide a CSI-based location sensing method. If an antenna array direction of a device is unknown, a location layout of a plurality of devices provided with antennas arranged in a non-linear manner can be constructed based on a geometrical relationship of an angle difference of arrival (ADoA). When the location layout is used for positioning, positioning can reach the same high precision as that of a manual calibration method.

Embodiments of the present disclosure relate to multiple wireless device location determination. Embodiments of determining a location of a first wireless device based on estimates of two other wireless devices are disclosed. Each of the other wireless devices is assigned a plurality of regions or defines a plurality of regions of itself. Each wireless device estimates a location of the first wireless device relative to its assigned or defined plurality of regions. One of these estimates is then converted into a plurality of regions of other devices. The two estimates are then combined to estimate the location of the first wireless device.

A positioning system includes an elevation angle calculator that determines, as a second elevation angle, an inverse cosine of a first value, upon occurrence of a condition in which an absolute value of a first elevation angle is greater than or equal to a second predetermined angle, the second predetermined angle being greater than a first predetermined angle, the first value being obtained by dividing a second value that is obtained by correcting, with a correction value, an altitude measured by an altitude measurement unit, by a distance measured by a distance measurement unit. The elevation angle calculator selects any one of the first elevation angle and the second elevation angle, based on a value of the first elevation angle.

Embodiments of wireless communications systems, ultra-wide band (UWB) systems, and methods for wireless communications are described. In an embodiment, a wireless communications system includes a processor configured to obtain an angle of arrival (AoA) estimate from wireless signals; perform a Channel Impulse Response (CIR) analysis, and determine a confidence level for the AoA estimate based on the CIR analysis.

The signal processing device (300A, 300B, 300D) includes a signal extraction unit (310A) that extracts a first pulse signal from a signal received by a first antenna (101) to which a radio wave is input, and extracts a second pulse signal from a signal received by a second antenna (102) that is arranged at a distance from the first antenna (101) and to which the radio wave is input, and a signal combination unit (320A) that generates a first combined signal in which a plurality of first pulse signals are combined in the time axis direction, and a second combined signal in which a plurality of second pulse signals are combined in the time axis direction.

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.

An audio system is provided that includes a first loudspeaker and a second loudspeaker. The first loudspeaker transmits an audio signal including audio data and a signature tone into a listening environment. The second loudspeaker includes at least one controller programmed to receive the audio signal including the audio data and the signature tone and to determine a direction of arrival (DOA) of the audio signal as received at the second loudspeaker based at least on the signature tone. The at least one controller is further programmed to perform a time frequency masking operation on the received audio signal prior to determining the DOA of the audio signal.