462results about "Radio wave direction/deviation determination systems" patented technology

The invention belongs to the technical field of wireless communication, and discloses a CNN-Transform direction estimation method based on covariance-unitary matrix input, and the method comprises the following steps: generating received signal sample data of different incident angles; calculating a covariance matrix for a received signal sample, performing singular value decomposition, extracting real parts and imaginary parts of the covariance matrix and a unitary matrix, and constructing a four-channel two-dimensional real number tensor as input; extracting local spatial features and coherence structures through CNN; serializing the feature map and adding a position code; a Transform encoder module is input, and global spatial dependence is modeled; carrying out average pooling and full-connection classification on the output to realize direction angle prediction; and training is carried out by adopting cross entropy loss, an AdamW optimizer and a cosine annealing learning rate scheduler. According to the method, local and global features are fused, and the method has high precision, strong robustness and excellent generalization ability in complex environments of low signal-to-noise ratio, multipath interference and the like.

The application provides an angle of arrival measurement method, an electronic device, a readable storage medium and a chip, and relates to the technical field of wireless positioning. The method is applied to an electronic device, and the electronic device comprises a first antenna and a second antenna. The antenna radiation field patterns of the first antenna and the second antenna are similar within a first angle range around the electronic device and are not similar within a second angle range around the electronic device. The method comprises the following steps: determining the difference between target parameters measured by the first antenna and the second antenna according to a wireless signal; determining the angle of arrival range of the wireless signal according to the difference; wherein the angle of arrival range is the first angle range or the second angle range; and measuring the angle of arrival of the wireless signal by using the first antenna and the second antenna according to the angle of arrival range. The technical scheme provided in the embodiment can improve the accuracy of angle of arrival measurement.

The invention relates to the field of array signal processing, and particularly discloses a DOA joint estimation method based on a quaternion polarization sensitive array. Electromagnetic wave dual polarization components are captured through the orthogonal dipole and the loop antenna, and a quaternion observation matrix is constructed; calculating a quaternion covariance matrix by adopting a sliding window mechanism, and separating a signal / noise subspace by adopting quaternion singular value decomposition; and constructing a spatial spectrum function in combination with a quaternion steering vector, and realizing joint estimation of an azimuth angle and a pitch angle through two-dimensional search. According to the method, the unified characterization capability of quaternions on polarization-airspace information is fully utilized, and the DOA estimation precision and the anti-interference performance of the multi-polarization signal are remarkably improved.

The present disclosure proposes a radar device for quasi-static target detection. The radar device comprises a plurality of (e.g., N ≥ 2) receiver channels. Each receiver channel may correspond to an antenna element of an antenna array. Each receiver channel is configured to receive a received signal corresponding to reflections of transmitted radar chirps. The radar device comprises a processing circuit. The processing circuit is configured to, for each receiver channel and for each radar chirp, perform moving target detection (MTD) to produce an MTD signal. The processing circuit is configured to for each receiver channel and for each radar chirp, perform a spectral analysis of the MTD signal to generate a plurality of range bins. The processing circuit is configured to for each receiver channel and for each radar chirp, detect a target in a range bin based on a signal strength of the range bin. The processing circuit is further configured to determine an angle of arrival (AoA) for each detected target. The processing circuit is configured to cluster the detected targets according to their respective range and angle of arrival.

The invention discloses a dynamic positioning precision optimization system based on a self-learning fusion model, and relates to the technical field of wireless positioning. Comprising the steps that an acquisition and synchronization module synchronously acquires AOA, RSSI and TOA signals from a plurality of anchor points and generates a synchronous multi-source signal flow; the discrimination module extracts multi-dimensional instability characteristics such as fluctuation entropy, angle jitter and delay abrupt change rate of the signal flow, and classifies the current channel environment into predefined modes such as high occlusion, non-line-of-sight error or stable line-of-sight; the mapping module calls a corresponding weight distribution strategy according to the modal identifier to generate a real-time fusion weight vector; the adaptive positioning module couples the weight vector to an unscented Kalman filter observation model, dynamically adjusts the weight of each signal source in state updating, and outputs an estimated position and a positioning confidence coefficient; the optimization module monitors the positioning confidence and iteratively optimizes the weight strategy online based on the deviation of the positioning confidence from the target value. The method effectively improves the positioning precision and robustness in a complex dynamic scene.

A communication method and a communication apparatus are provided. The method includes: sending motion information of a terminal device and sending time information of a first antenna in a first virtual antenna array to a network device; receiving first configuration information from the network device, where the first configuration information is used to configure a first reference signal corresponding to the motion information and the sending time information; sending the first reference signal to the network device based on the first configuration information; and receiving a first multipath angle from the network device, where the first multipath angle indicates a multipath angle at which the first reference signal reaches the network device. The first antenna is any antenna in the first virtual antenna array.

The invention relates to the technical field of wearable device mutual-seeking positioning, in particular to a wearable device mutual-seeking positioning method and system based on an entry and exit principle, and the method comprises the steps: setting a base station, obtaining angle and distance information through a multi-antenna array, and carrying out the time slot positioning; constructing a shielding model by utilizing the equipment attitude information, and identifying a sight distance communication and signal shielding blind area; the Kalman filtering noise weight is adjusted by adopting a dynamic sector confidence gating strategy, a relative pose vector is solved in combination with geometric constraints, and a guide instruction is generated; in the near-field verification stage, a coding vibration sequence is transmitted, time domain wave packet cross correlation is calculated to confirm physical contact, and automatic search quitting is achieved. According to the invention, through a shielding model and a dynamic gating strategy, positioning drift caused by shielding is effectively inhibited, and the guiding robustness in a complex environment is improved; by means of coding vibration and a cross-correlation verification mechanism, misjudgment and real contact of the partition wall are accurately distinguished, and intelligent closed loop of guiding while entering and returning while contacting is achieved.

The invention introduces a Doppler radio direction finding system, which relates to the technical field of radio navigation and comprises an antenna array unit, a radio frequency switch matrix, a logic controller, a single-channel receiver and a signal processing unit. The logic controller drives the radio frequency switch matrix to alternately execute clockwise and anticlockwise antenna scanning actions in a single measurement period, and the signal processing unit respectively extracts phase slopes corresponding to forward and reverse scanning, generates an environment error component according to the sum of the two phase slopes and identifies a specific antenna oscillator at a standing wave node. The logic controller responds to the feedback instruction and physically skips the conduction operation on the specific antenna oscillator in the subsequent time sequence, the physical symmetry of positive and negative scanning and an environment feedback mechanism are utilized, environment standing wave interference is actively avoided on the premise that radio frequency channels are not increased, and qualitative change improvement of anti-multipath direction finding precision under a single-channel system is achieved.

The invention provides an arrival wave angle estimation method based on a zero scanning leaky-wave antenna. A rectangular waveguide is selected as a basic structure to design a periodic leaky-wave antenna only working in a-1 harmonic state; designing necessary antenna simulation parameters; a first leaky-wave antenna is designed; adjusting the gap interval p, and designing a second leaky-wave antenna; obtaining pattern functions of the first leaky-wave antenna and the second leaky-wave antenna; proper amplitude and phase parameters are selected for directional diagram synthesis, and a new directional diagram function is obtained; constructing an array guiding matrix suitable for the MUSIC algorithm; signal sources are arranged at different positions, simulation testing is carried out through MATLAB, and the incoming wave angle estimation capability of the zero-point scanning leaky-wave antenna is verified. According to the invention, a feasible technical path is provided for high-precision positioning and tracking application in future 6G mobile communication. The antenna is especially suitable for application in millimeter wave and terahertz frequency bands, such as vehicle-mounted communication, unmanned aerial vehicle platforms, military electronic countermeasures and the like.

Disclosed herein are an FFT processor, an FFT computing method, a radar signal processing system-on-chip, an integrated circuit, and an electromagnetic wave sensor. The FFT processor comprises two cascaded FFT kernels, and the FFT processor has at least two operating modes among a large-point-number FFT mode, a pipeline mode and an independent parallel mode, wherein when the FFT processor is in the large-point-number FFT mode, the two FFT kernels are configured to decompose FFT of N points into two instances of FFT; when the FFT processor is in the pipeline mode, the former FFT kernel of the two cascaded FFT kernels is configured to perform distance FFT, and the latter FFT kernel of the two cascaded FFT kernels is configured to perform Doppler FFT; and when the FFT processor is in the independent parallel mode, the two FFT kernels are configured to independently process data of different channels in parallel.

The invention discloses a multi-system adaptive switching radio direction finding method and system. The method comprises the following steps: acquiring signal modulation characteristic parameters and electromagnetic environment interference characteristic data to construct a system evaluation criterion, identifying a system mismatch sensitive area, and generating an interference weight distribution diagram and a system coverage margin; performing system competitive advantage decline analysis on the two to generate a switching urgency level and construct a hierarchical switching index set; obtaining a degradation offset coefficient through performance degradation trend tracking, and performing threshold correction on the real-time switching index to generate an adaptive switching index and a switching cooperation parameter; and tracking a system performance evolution trajectory based on the switching cooperation parameters and the interference weight distribution diagram, identifying an optimal system migration trigger point, completing optimal direction finding system selection and outputting an incoming wave direction measurement result. According to the invention, adaptive sensing of electromagnetic environment change and dynamic optimization of system switching are realized, and the accuracy and continuity of wave direction measurement in a complex interference environment are improved.

The invention discloses a hybrid antenna array direction of arrival estimation method based on noise marginalization SBL. The method comprises the following steps: initializing system parameters and a sampling grid set; establishing a hybrid antenna array receiving signal model, and initializing a hybrid beam forming matrix into a block diagonal matrix meeting constant modulus constraint; constructing a hierarchical probability model under a Bayesian framework, and introducing a noise precision parameter into signal prior; integral operation is carried out on the noise precision parameter, so that the signal posterior distribution is converted into student t distribution; an objective function is constructed, an expectation maximization algorithm is adopted to iteratively update a signal energy spectrum, and the process does not involve noise parameter estimation; an alternating iteration strategy is adopted, the signal energy is fixedly updated through inner circulation, and optimization is performed through a gradient descent method after outer circulation is fixed; after convergence, constructing a target function of off-grid estimation by reconstructing a covariance matrix; and searching the off-grid direction of the maximized objective function near a spectrum peak to obtain a final DOA estimation value.

The invention discloses a single-channel received RIS direction of arrival estimation method, and relates to the technical field of wireless sensing, and the method comprises the steps: mapping a space-time coding matrix into a control signal, and loading the control signal to periodically arranged electromagnetic units of an RIS, thereby carrying out the space-time coding modulation of an incident signal, and forming a reflection signal comprising angle information; receiving the reflected signal by a single-channel receiving end and converting the reflected signal into baseband data, performing Fourier transform on the baseband data to obtain a frequency domain component, and constructing a plurality of virtual receiving channels; and constructing a covariance matrix based on the signal of the virtual receiving channel, performing eigenvalue decomposition on the covariance matrix, constructing a spatial spectrum function, and performing peak search on the spatial spectrum function to obtain the direction of arrival of the incident signal. The invention further discloses a single-channel receiving RIS direction of arrival estimation system, high-precision direction of arrival estimation under the single-channel receiving condition is achieved, and the system has the advantages of being simple in system structure, low in hardware cost, high in algorithm resolution and high in anti-noise capacity.

The invention discloses a radar photoelectric cooperative detection method and system based on radio orientation and optical measurement, and belongs to the field of radio fixed.The method comprises the steps that a radio signal of a target is obtained, parameter estimation is conducted on the radio signal, and direction-of-arrival data and statistical characteristic parameters of the target are obtained; generating a guide instruction according to the direction of arrival data to drive a photoelectric detection device to point to the airspace where the target is located, and obtaining real-time optical image data of the airspace where the target is located through the photoelectric detection device; projecting the error uncertainty range to a two-dimensional plane of the real-time optical image data, and generating an adaptive probability search area; performing visual feature extraction on the real-time optical image data in the adaptive probability search area, and detecting to obtain at least one candidate visual target; and calculating the association confidence of each candidate visual target and the direction of arrival data, and judging a final detection target. According to the invention, closed-loop self-calibration of the whole radar photoelectric system is realized.

The invention provides a DOA (direction of arrival) estimation method and device of a random linear array. The DOA estimation method comprises the following steps: establishing an observation model representing a relationship between direct output of a sensor unit and a source signal, and carrying out compressed sampling on the direct output of each unit of the linear array by applying a random demodulator; constructing a linear observation relationship between the sampling signal of the random demodulator and a decomposition coefficient matrix of the source signal matrix on a certain sparse base, obtaining an estimated value of the decomposition coefficient matrix by using a sparse sampling reconstruction method, and further reconstructing to obtain an estimated value of an original source signal matrix; and calculating the DOA spectrum and estimating the DOA angle of the target or source according to the peak value of the spectrum. According to the invention, the technical problems of low estimation precision and low resolution caused by large design difficulty of a sensor array, heavy data acquisition burden and single analysis signal are solved.

When a radio-frequency identification (RFID) tag reader queries an RFID tag, the reader or an appliance coupled to the reader derives a channel estimate from the tag's reply to the reader's query. The channel estimate represents the communications channel between the reader and that tag—or more precisely between the reader and the tag's location. This channel estimate acts as a fingerprint or signature for the communications channel between the reader and the tag's location. If the tag's environment is relatively static, then the channel estimate should be relatively stable, even if the tag is moved. The reader or appliance creates a library of tag locations indexed by channel estimate for each tag within range of the reader. When the reader receives a reply from a tag at an unknown location, the reader or appliance computes the corresponding channel estimate and uses that channel estimate to look up the closest location in the library of tag locations.

A single-station positioning method based on Doppler frequency shifts and time difference information, and a system and an electronic device. The method comprises: acquiring an actual period of a pilot signal sent by an unmanned aerial vehicle (S1); on the basis of the actual period of the pilot signal sent by the unmanned aerial vehicle, determining two adjacent target signals sent by the unmanned aerial vehicle in a target area, and acquiring actual center frequencies of target signal information, an actual time difference of arrival between the two target signals at a receiving base station, actual angles of arrival, and actual Doppler frequency shifts of the unmanned aerial vehicle (S2); importing an actual range of the target area, the actual period of the pilot signal, the actual center frequencies of the target signals, the actual time difference and the actual angles of arrival into variables in a preset theoretical Doppler frequency shift model, so as to obtain a theoretical Doppler frequency shift value table, wherein the table comprises different theoretical Doppler frequency shift values corresponding to different distances from the unmanned aerial vehicle to the receiving base station (S3); performing error metric calculation processing on the actual Doppler frequency shifts and each theoretical Doppler frequency shift value, so as to obtain a theoretical Doppler frequency shift value corresponding to the minimum error metric (S4); and on the basis of the theoretical Doppler frequency shift value corresponding to the minimum error metric, determining the positions at which the unmanned aerial vehicle sends the target signals (S5). The method can ensure the accuracy of single-station positioning in a complex scenario.

A transportable ultra-wideband frequency spectrum monitoring and direction finding device relates to the technical field of radio direction finding and comprises a plurality of direction finding antenna arrays including a first amplitude comparison direction finding antenna array, a second amplitude comparison direction finding antenna array, a virtual baseline direction finding antenna array, a five-element interferometer direction finding antenna array and a Wattson-Watt direction finding antenna array. The plurality of switch matrix networks are respectively connected with the corresponding direction-finding antenna arrays and are used for switching multiple paths of antenna signals and injecting calibration signals; the plurality of down-conversion board cards are respectively connected with the corresponding switch matrix networks and are used for converting the radio frequency signals of different frequency bands into intermediate frequency signals through multi-stage frequency conversion processing; the digital receiver is connected with the plurality of down-conversion board cards and is used for carrying out direct acquisition and channelization processing on the intermediate frequency signals; and an industrial personal computer. The method and the device are used for solving the problems of limited frequency coverage range, limited lateral azimuth coverage range and limited receiving dynamic range of traditional lateral equipment.

The invention provides an intelligent metasurface-assisted non-line-of-sight target DOA estimation method based on atom norm minimization. After a receiving end obtains an echo signal, the echo signal is left multiplied by a known channel vector pseudo-inverse, the influence of an RIS backward channel is eliminated, and an angle estimation problem is converted into a convex optimization problem; a convex optimization problem is solved by using a CVX toolbox in Matlab, two one-dimensional Toeplitz matrixes respectively containing DOD and DOA information are constructed, the two one-dimensional Toeplitz matrixes are respectively subjected to one-dimensional Vandermonde decomposition to solve a signal angle, and joint estimation of the DOD and the DOA is realized. According to the method, the active regulation and control capability of the RIS is enhanced, so that the problem that DOA estimation precision and calculation efficiency in a traditional non-line-of-sight scene are difficult to consider at the same time is effectively solved, and the real-time performance of azimuth angle estimation is remarkably improved while relatively low calculation complexity is kept; and particularly under the conditions of low signal-to-noise ratio and low snapshot number, high-precision estimation of the target orientation can still be realized.

The invention relates to a direction-of-arrival estimation method based on a linear-nonlinear branch fusion neural network, and the method comprises the steps: obtaining an original signal of an antenna array, calculating a reference empirical covariance matrix based on the original signal, and obtaining an input tensor based on the reference empirical covariance matrix; based on the input tensor, processing by using a dual-path neural network to obtain a residual matrix; the dual-path neural network comprises a linear branch and a nonlinear branch; obtaining an enhanced covariance matrix based on the residual matrix and the reference empirical covariance matrix; and based on the enhanced covariance matrix, obtaining a DOA estimation value by using a Root-MUSIC algorithm. Compared with the prior art, the direction-of-arrival estimation method provided by the invention has the advantages of a traditional subspace algorithm and a neural network participation type method.

Provided in the present invention are a TDOA and AOA fusion positioning method and system. The method comprises: TDOA stations respectively receiving signals within measurement ranges thereof, and if a target signal is received, forming first target data, wherein the first target data comprises information of the time when the target signal is received; on the basis of the first target data formed by N TDOA stations, obtaining estimated two-dimensional coordinates; on the basis of the estimated two-dimensional coordinates, using an AOA station to perform AOA measurement processing, so as to obtain an estimated height between the AOA station and a target, wherein the estimated height serves as an initial calibration height; on the basis of the estimated two-dimensional coordinates, obtaining estimated distances between the N TDOA stations and the target; on the basis of the estimated distances and the initial calibration height, iteratively updating the estimated distance between the N TDOA stations and the target, so as to obtain target two-dimensional coordinates and a target height; and fusing the target two-dimensional coordinates and the target height, so as to obtain target three-dimensional coordinates. The present invention achieves relatively accurate two-dimensional positioning and target heights, thereby realizing highly accurate three-dimensional positioning.

A system is disclosed. The system may include a receiver or transmitter node. The receiver or transmitter node may include a communications interface with an antenna element. A controller may include one or more processors and have information of own node velocity and own node orientation relative to a common reference frame. The receiver or transmitter node may be time synchronized to apply Doppler corrections to signals, the Doppler corrections associated with the receiver or transmitter node's own motions relative to the common reference frame, the Doppler corrections applied using Doppler null steering along Null directions. The system may be configured to, via the Doppler null steering, flood a communication data packet to a destination node based on a spatial awareness. The system may limit the flooding to only be towards the destination node and / or for a maximum number of hops.

The application relates to the technical field of wireless communication, in particular to a beam squint auxiliary angle-distance joint positioning method in a near field communication system, which comprises the following steps: determining the starting point (theta s ,r s ) and the ending point (theta e ,r e ) of the near field sensing area, generating a beam squint focusing scanning track for joint angle-distance positioning by adjusting the parameters of the true time delay device and the phase shifter; a base station sends a pilot signal, receives echo signals of a user terminal on each subcarrier, calculates the received power, finds the subcarrier index corresponding to the power peak value, and reversely deduces the initial angle estimation value and the initial distance estimation value of the target user; a local search area is selected near the initial estimation value obtained in the coarse positioning step, a two-dimensional joint search of the angle and the distance is carried out based on an improved near field multiple signal classification algorithm, and a high-precision final angle estimation value and a final distance estimation value are output.

The application discloses a non-uniform noise background-based sparse array gridless parameter estimation method, and the implementation steps are as follows: a sparse array structure is arranged at a receiving end; a sparse array receiving signal in a non-uniform noise background is modeled; a covariance matrix of the array receiving signal is calculated; receiving data of a virtual differential common array is calculated through vectorization and de-redundancy; a distribution to which a fitting error is subjected is derived, and a parameter estimation optimization model based on atomic norm minimization and avoiding a complex regularization parameter determination process is constructed; a semi-positive definite programming form of a primal problem and a dual problem is derived; and a wave direction estimation result is obtained through a MUSIC algorithm or polynomial root seeking. In addition, on the basis of fully utilizing a virtual differential common array of the sparse array to provide extended degrees of freedom and all information, the application restrains the influence of non-uniform noise by constraining the sparsity of data atoms to be recovered and selecting a regularization parameter from a chi-square distribution table according to a distribution to which a fitting error between the data to be recovered and actual receiving data not affected by noise is subjected, overcomes the grid mismatch problem caused by parameter domain discretization, avoids a complex process of determining the regularization parameter, and can obtain a higher-precision source direction estimation result.

This invention relates to an angle estimation method in an integrated communication and sensing system, belonging to the fields of wireless communication and radar technology. The angle estimation method in an integrated communication and sensing system is characterized by the base station simultaneously transmitting data in the downlink time slot. M There are data streams, among which M ≥2, the M Each data stream uses a different beamforming vector; the base station is based on the... M Constructing beamforming vectors P There are 1 guiding matrix, where P ≥2; the above P Each of the guidance matrices and N r The post-processed data from each receiving antenna is used to perform an inner product operation, resulting in... P The angle corresponding to the largest modulus among the inner product results is selected as the estimated angle of the target. N r ≥1.

The application discloses a low signal-to-noise ratio DOA estimation method based on deep learning, comprising the following steps: S1, generating an array signal data set and calculating a covariance matrix; S2, converting the DOA estimation problem into a multi-label classification task, discretizing the angle range into multiple grid points and constructing a multi-label binary vector as a supervised signal; constructing a convolution classification network, the network comprising a multi-scale convolution module, multiple cascaded residual modules with attention mechanisms, a pooling module and an output layer; training the network using the data set; S3, inputting the preprocessed to-be-estimated signal into the trained network to obtain the target existence probability of each angle grid, and obtaining the DOA estimation value through peak value detection. The application strengthens key feature extraction through multi-scale convolution and attention mechanism, maintains high-precision estimation under the condition of low signal-to-noise ratio and low snapshot, and simultaneously realizes lightweight network structure and is suitable for edge deployment.