474results about "Direction finders" patented technology

Access control system (1) for buildings (2) with a stationary unit (20) and a mobile unit (10), wherein the mobile unit (10) has a mobile transceiver (11) which is designed to transmit wirelessly and encrypted signals (S) for authentication and authorization of the mobile unit (10) with respect to the stationary unit (20) and for control of the stationary unit (20) by the mobile unit (10) to a stationary transceiver (21) of the stationary unit (20), wherein the stationary unit (20) comprises a control device (22) which is designed to determine a position of the mobile unit (10) relative to the stationary unit (20) from the signals (S) transmitted from the mobile transceiver (11) to the stationary transceiver (21) and to control a function if a control command for triggering the function is transmitted to the stationary unit (20) by a mobile unit (10) authenticated and authorized by the stationary unit (20) and / or the position of the mobile unit (10) is within a predetermined access area (30), and wherein the control device (22) is designed to determine an angle (ϕ) from which the signals (S) were received from the signals (S) transmitted from the mobile transceiver (11) to the stationary transceiver (21), to determine a measured distance (rg) between the stationary transceiver (21) and the mobile transceiver (11) from a signal (S) received at the stationary transceiver (21) from the mobile transceiver (11) and from the measured distance (rg) and a vertical distance (rv) stored as a correction value in the control device (22) between the stationary transceiver (21) and the mobile transceiver (11), to determine a horizontal distance between the stationary transceiver (21) and the mobile transceiver (11) in the polar coordinate system lying in the horizontal plane as a distance (r) from which the signals (S) were received, so that the position of the mobile unit (10) can be specified as polar coordinates of a polar coordinate system lying in a horizontal plane, in whose coordinate origin the stationary transceiver (21) is arranged.

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 invention discloses a sparse Bayesian direction of arrival estimation method based on subspace compression and dictionary optimization, and belongs to the field of array signal processing. According to the method, the data dimension is reduced through the subspace compression technology, and the noise immunity is improved; signal power and noise power are automatically estimated in combination with a sparse Bayesian model, and dependence on information source number information is avoided; the calculation efficiency and the numerical stability are improved through a support set adaptive pruning strategy; and finally, a dictionary fine tuning mechanism is introduced, direction continuous optimization is realized on the basis of an original discrete grid, an off-grid error is eliminated, and direction-of-arrival estimation with sub-resolution precision is realized. The method is a novel method combining subspace compression, sparse Bayesian inference, adaptive pruning and angle optimization, can give consideration to estimation precision, calculation efficiency and application robustness, and is especially suitable for direction estimation under the complex actual conditions of low signal-to-noise ratio, few snapshots, unknown signal source number and the like.

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 invention discloses a low-redundancy high-order direction finding method and system based on co-prime characteristics and a computer storage medium, and the method comprises the steps: receiving signals from a plurality of signal sources through employing a low-redundancy array obtained through improvement based on a co-prime array, and obtaining a received signal; calculating a fourth-order cumulant matrix of the received signal according to the received signal; obtaining a covariance matrix according to the fourth-order cumulant matrix; according to the covariance matrix, calculating to obtain a characteristic value and a characteristic vector of the covariance matrix; dividing the feature vector into a signal subspace and a noise subspace according to the size of the feature value; constructing a spectral function according to the projection of the steering vector on the noise subspace; and searching peak values of the spectral function in all possible directions, and determining the direction of the signal source. According to the low-redundancy array obtained based on improvement of the co-prime array, on the basis that the number of receiving array elements is reduced, the number of estimated signal sources is increased, the fourth-order cumulant is adopted, and the positioning precision in a non-Gaussian noise environment can be improved.

The invention relates to a method for obtaining a position of a sound source relative to a dedicated reference point. A first and a plurality of second sound signals are recorded which are synchronized in time. The position can be obtained by applying an estimated filter to a correlated signal derived by correlation of the first sound signal with at least one of the plurality of second sound signals in the frequency domain. Two timing values are derived in the at least one filtered and correlated signal exceeding a dedicated threshold in the time domain. Then the distance between the dedicated reference point and the sound source based on the respective obtained first timing value and second timing value.

An apparatus including multiple antennas and means for converting measurements of time of arrival of a positioning reference signal at the multiple antennas to a compensation value and using the compensation value to produce a compensated time of arrival measurement for the positioning reference signal. The apparatus also includes means for providing compensated time of arrival measurements for a plurality of positioning reference signals from different reference points to enable positioning of the apparatus.

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.

An estimation method includes: receiving, by first and second antennas, radio waves including reflected radio waves that are radio waves transmitted from a transmitting antenna and reflected by a target; calculating a phase difference between first received radio waves that are radio waves received by the first antenna in the receiving and second received radio waves that are radio waves received by the second antenna in the receiving; calculating an amount of correction based on the amplitude of the first received radio waves and the amplitude of the second received radio waves, adding the calculated amount of correction to the phase difference calculated in the calculating of the phase difference, and obtaining a corrected phase difference resulting from correction of the phase difference; and estimating, based on the corrected phase difference and the distance between the first and second antennas, a direction in which the target is located.

The invention discloses a novel non-uniform array-based signal source positioning method, which comprises the following steps of: determining an actual array element position through flexible array distribution according to environmental characteristics when a target signal reaches the ground; calculating a virtual domain differential common array, determining the position of a virtual array element, constructing a signal model, and calculating a covariance matrix; vectorizing the covariance matrix, and removing redundancy to obtain an equivalent receiving signal of the virtual domain; performing spatial smoothing processing on the equivalent covariance matrix of the virtual domain to obtain a smoothed data correlation matrix; after characteristic decomposition, constructing a signal subspace; and finally, dividing signal subspaces based on an ESPRIT algorithm idea, and calculating a rotation matrix to obtain an estimated angle. The designed non-uniform array can flexibly adjust the array element layout according to complex environment characteristics, the flexible array layout strategy improves the freedom degree of the array, the spatial sampling and signal analysis efficiency is optimized, meanwhile, the calculation path is simplified, and the algorithm complexity is reduced.

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 invention discloses a rotating interferometer antenna signal sorting method based on iteration peak taking, and aims to solve the problem that a pre-sorting process based on a direction finding angle cannot be introduced into a signal sorting process of a rotating interferometer positioning system antenna. Therefore, the problem of signal sorting with high-density signals and low geometric constraints in the main signal sorting process is solved. According to the method, a signal sorting method based on voting positioning and iterative peak taking is adopted, a process of sorting known target signals and then sorting non-unknown target signals is utilized, and sorting logics of sorting strong parameter condition constraint radiation sources, sorting weak parameter condition constraint radiation sources and iterative peak taking grid position condition constraint are combined. Accurate signal sorting of the rotary interferometer positioning system antenna is realized.

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.

The invention relates to the field of signal processing, and discloses a virtual phase line boundary folding processing method and system for a multi-baseline phase interferometer, and the method comprises the following steps: carrying out the division of sub-interferometers, and generating an initial candidate modulus pair set based on the physical constraint of the system; performing boundary folding detection on the measurement phase pair, and judging whether the measurement phase pair falls into a boundary dangerous area; if a folding risk is detected, generating a corresponding virtual modulus pair, and expanding the initial candidate modulus pair set by using the virtual modulus pair to form an expanded candidate set; based on a minimum linearization error criterion, selecting an optimal modulus pair which is most matched with the measurement phase pair from the extended candidate set; and calculating a global fuzzy number vector step by step, and finally estimating a signal arrival angle. According to the method, the boundary folding effect is actively identified and compensated, so that the robustness and accuracy of angle measurement under the condition of low signal-to-noise ratio are remarkably improved.

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.

A radar device includes: a first receiver antenna outputting a first reception signal; a second receiver antenna outputting a second reception signal; a third receiver antenna outputting a third reception signal; a first receiver circuit processing the first reception signal; and a second receiver circuit selecting one of the second reception signal and the third reception signal and processing the selected signal. The first receiver antenna is placed apart from the second receiver antenna in a first direction and apart from the third receiver antenna in a second direction.

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.

To provide an estimation device, an estimation method, and a program that can improve the accuracy of estimating the direction of arrival.SOLUTION: An estimation device according to the present disclosure includes acquisition means for acquiring an evaluation function indicating the characteristics of a determination target signal, which are obtained by inputting the determination target signal into a trained model, and the number of waves of the determination target signal, and estimation means for estimating the direction of arrival of the determination target signal using peak information in the evaluation function and the number of waves.SELECTED DRAWING: Figure 1

The present invention discloses a method for direction finding of incoherently distributed sources under strong impulse noise. The method comprises the following steps: first, obtaining snapshot sampling data, performing de-impact preprocessing, and constructing a generalized Capon space spectrum function; second, initializing the quantum position of each arrow and setting parameters to construct a fitness function; third, dividing the arrow group into sub-arrow groups, and performing fitness function evaluation on all arrows. The quantum position of the arrow with the best fitness in each sub-arrow group is selected as the optimal quantum position; fourth, updating the quantum position of each arrow according to the shooting mechanism; fifth, mapping the updated quantum position of each arrow to a position, calculating the updated fitness function value, and updating the optimal quantum position of each sub-arrow group; and sixth, returning to step three, looping and iterating until the maximum number of iterations is reached, outputting the optimal quantum position set, and transforming it into the central azimuth and angular spread estimates of the incoherently distributed source through mapping. The method is robust and high-performance under strong impulse noise conditions.