1001results about "Radio wave direction/deviation determination systems" patented technology

The invention discloses a target positioning method and system based on a single reference station, and relates to the field of wireless positioning, and the method comprises the steps: generating vortex electromagnetic waves carrying orbital angular momentum based on a transmitting end of a reference station, and generating a time-varying phase modulation transmitting signal and a metasurface time-varying coding sequence through a programmable metasurface; a time-varying phase modulation emission signal forms a multipath superposition effect in a propagation environment, a receiving end obtains a mixed signal of a direct wave and a reflected wave, and the receiving end carries out OAM mode separation on the mixed signal of the direct wave and the reflected wave through a spiral phase plate and an annular array to obtain signal components in different modes; and based on the signal component and the metasurface time-varying coding sequence, reconstructing an equivalent virtual array response by adopting a compressed sensing algorithm. According to the invention, the orbital angular momentum modal separation technology and the metasurface dynamic coding technology are creatively fused, and high-precision real-time direction finding in a complex multi-path environment is realized under a single base station architecture.

The invention provides a coherent signal arrival direction estimation method and device based on a deep convolutional network, and belongs to the field of array signal processing. The method comprises the following steps: receiving a to-be-detected signal containing a coherent signal by using a uniform linear array antenna to obtain an array receiving data matrix and extract a covariance matrix; forming an input feature vector by right upper triangular elements divided from a diagonal line in the covariance matrix, inputting the input feature vector into a covariance estimation model formed by a deep convolutional network, obtaining an estimation value of the right upper triangular elements under an ideal incoherent condition, and reconstructing the estimation value to obtain a covariance matrix estimation value; and performing characteristic decomposition on the covariance matrix estimation value, and generating a spatial spectrum by using a MUSIC algorithm to obtain an estimation result of the signal arrival direction. According to the method, the noise-containing mixed signal covariance matrix is mapped into the ideal incoherent noise-free signal covariance matrix through a physical constraint supervised learning framework, so that the estimation precision and robustness of the MUSIC algorithm in a coherent scene are improved.

A DoA estimation method and device based on steering vector matrix reconstruction, related to the field of array signal processing. The method includes: obtaining an array sampling covariance matrix according to an array received signal; setting a target variable, and limiting a feasible domain of the target variable by using two operators to determine a first constraint condition; characterizing an estimation error based on the target variable and the array sampling covariance matrix, and using the characterized estimation error as a second constraint condition; establishing an initial optimization model according to a preset norm based on partial sum of singular values and constraint conditions of the target variable; determining a multivariable optimization model according to the initial optimization model; and solving the multivariable optimization model to obtain an optimal result; analyzing the optimal result to obtain a DoA of the target incident signal.

Aspects presented herein may enable a user equipment (UE) to perform angle-of-arrival (AoA) determination using non-ideal and non-directional antennas. In one aspect, a UE obtains an indication of a phase difference of arrival (PDoA) function related to the first user equipment (UE). The UE obtains a set of PDoA measurements associated with a second UE when the first UE is associated with a plurality of orientations. The UE computes, based on the PDoA function, the set of PDoA measurements, and the plurality of orientations of the first UE, a general function that is associated with a probability in which the second UE is at a set of relative directions compared to the first UE. The UE estimates, based on the computed general function, a relative direction of the second UE compared to the first UE, where the relative direction is included in the set of relative directions.

The invention belongs to the technical field of array signal processing, and particularly relates to a co-prime array design method based on virtual array hole filling, which comprises the following steps of: S1, forwards moving two sub-arrays of an extended co-prime array by a distance of Nd / 2; s2, turning over one sub-array of the shifted co-prime array to obtain an improved co-prime array; s3, generating a differential virtual array according to the improved co-prime array; s4, introducing and combining the array to carry out hole filling on the differential virtual array; s5, calculating a received signal model and a covariance matrix of the filled virtual array; and S6, DOA estimation is carried out by using an ROOT-MUSIC algorithm. The method has the advantages that better signal source resolution and lower array element mutual coupling are achieved, meanwhile, the continuous freedom degree is improved, more signal sources can be estimated at the same time, and high practical value is achieved.

The invention provides an AIS signal constrained least square angle estimation method, device and equipment and a storage medium, and the method comprises the steps: collecting time domain, frequency domain and phase domain TDOA observation data, and evaluating the observation precision of each path based on a signal-to-noise ratio, goodness of fit and phase stability; then, mapping multi-source observation values into a unified nonlinear observation equation, and constructing a weighting matrix according to each observation precision, so that a high-precision channel obtains a larger weight; thirdly, forming an equation and inequality constraint set by combining the physical incidence angle range constraint of the double / three-antenna array, the arrival time difference range constraint determined by the baseline length and the propagation speed and the three-antenna closed TDOA geometric constraint; and finally, constructing an optimization target in a constrained least square form, carrying out iterative solution through a sequential quadratic programming (SQP) algorithm, outputting an optimal angle estimation value on the premise of meeting all physical and geometric constraints, and realizing high-precision estimation of the AIS signal arrival angle in a complex electromagnetic environment.

The invention discloses a self-adaptive rotating baseline direction finding method, device and equipment, a medium and a terminal. Signals are continuously collected through the base line rotatable antenna array; rapidly identifying and outputting environment parameters by using the trained environment evaluation model, and evaluating the environment grade; constructing a dynamic direction-finding angle model by combining the attitude parameters and the motion parameters of the mobile platform, the control parameters of the antenna array and the environmental parameters; according to the environment parameters and the environment grades, a dynamic parameter optimization rule is formulated, and control parameters, direction-finding resolving parameters and signal processing algorithm parameters of the antenna array are adjusted; and based on the environmental parameters, the adjusted control parameters of the antenna array, the adjusted direction-finding resolving parameters and the adjusted adaptive filter parameters, calculating an incoming wave angle by using a dynamic direction-finding angle model. According to the method, high-precision incoming wave signal direction finding is realized in a dynamic environment, and the method is suitable for mobile scenes such as unmanned aerial vehicles and vehicle-mounted communication.

During signal reception, a tracking device includes a first antenna array configured to adjust a first steering angle of the first antenna array in a first plane and a second antenna array configured to adjust a second steering angle of the second antenna array in a second plane. The tracking device includes a phase difference of arrival calculator to determine a first phase shift between the first antenna array and the target device, a second phase shift between the second antenna array and the target device, and a phase difference of arrival between the first phase shift and the second phase shift. The tracking device includes a target device tracking circuit to determine the angle of arrival of the radiofrequency signal at the receiving device based on the phase difference of arrival.

The invention provides a sparse covariance reconstruction and adaptive grid correction-based DOA (Direction of Arrival) estimation method, and belongs to the technical field of ocean observation. According to the method, snapshot-level signal reconstruction is changed into covariance-level sparse modeling, an alternating optimization strategy is introduced to carry out energy estimation, a Sherman-Morrison matrix lemma is fused to accurately update a covariance inverse matrix, and an adaptive grid continuous correction mechanism is introduced. According to the method, a staged optimization framework is constructed, sparsity and geometric interpretability are fused, DOA estimation precision can be remarkably improved, off-grid error limitation is broken through, robustness under low signal-to-noise ratio and signal correlation is improved, algorithm calculation complexity is remarkably reduced, real-time processing capacity is improved, and the method is suitable for an underwater complex propagation environment.

Embodiments of the disclosed technology relate to improvements in location estimation and prediction for mobile devices while preserving energy. The use of classifiers is provided which preserves energy usage of the mobile device while providing contextually aware information for various stages. The use of a motion classifier and ranging in the context of access devices, the use of directional motion classifiers to reduce the latency in detection that a mobile device has entered a geofence area, and methods of improving location estimates and increasing geofence boundaries to prevent false exits from a geofenced area are disclosed.

The present disclosure relates to direction of arrival (DOA) estimation systems and super-resolution DOA estimation devices. An example system comprises a diffraction modulator configured to modulate phase distribution of electromagnetic fields of incident waves emitted by N signal sources to focus the incident waves on a detector, the DOAs corresponding to the signal sources within a preset angle range. The detector comprises a plurality of detection areas, the preset angle range comprising a plurality of angle intervals, each detection area corresponding to one angle interval. The detector is configured to measure intensity of an electromagnetic field in each detection area in response to the incident waves being focused on the detector to obtain an intensity measurement value of the electromagnetic field in each detection area, and determine the DOAs corresponding to the N signal sources based on angle intervals corresponding to N detection areas with greatest intensity measurement values.

The invention discloses an ultra wide band direction finding information extraction method based on a multi-input single-output delay superposition network. The method comprises the following steps: acquiring an antenna receiving signal and an attitude transformation matrix of an antenna; processing an antenna receiving signal to obtain a time point of a first peak leading edge detection threshold value and pulse sequence data in a complex form; carrying out 64-time up-sampling processing on the pulse sequence data in the plural form, and drawing an amplitude-time curve and a phase-time curve; determining a peak value corresponding to the adjacent antenna according to the peak value leading edge time point; calculating the peak values corresponding to the adjacent antennas to obtain the time difference of arrival and the phase difference of the adjacent antennas; and ultra-wideband direction-finding information positioning is realized. According to the invention, group delay can be carried out on the ultra-wideband pulse signal by adopting the delay line with the given length, and the ultra-wideband direction-finding information positioning precision is improved. The ultra wide band direction finding information extraction method based on the multi-input single-output delay overlay network can be widely applied to the technical field of ultra wide band positioning.

The invention relates to a mine monitoring method based on millimeter-wave radar multi-feature fusion, and the method comprises the steps: transmitting an FMCW signal through a millimeter-wave radar, receiving a target echo, sequentially carrying out the signal preprocessing, 1DFFT distance measurement, 2DFFT speed measurement, velocity ambiguity resolution and DOA estimation angle measurement, and extracting the distance, velocity, angle and energy variation features of a target point cloud; then millimeter-level deformation is obtained through phase analysis; obtaining a vibration frequency through band-pass filtering and spectrum analysis; fusing the six types of features of the target point cloud, adopting a confidence counter weighting decision mechanism, and triggering early warning when a fusion score exceeds a preset threshold value; according to the invention, through the advantages of high reliability, strong anti-interference performance and high non-contact safety of multi-feature fusion decision, the false alarm rate is significantly reduced, and the real-time accurate early warning capability of the mine dangerous state is improved.

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 invention discloses a sparse regularization direction of arrival estimation method based on a risk minimization principle, and belongs to the technical field of array signal processing and underwater acoustic signal processing. The method comprises the steps of receiving array signals and establishing an observation model; constructing a sparse representation and over-complete dictionary; establishing and initializing a regularization optimization model; carrying out adaptive weight updating and risk-driven parameter selection; after regularization parameters are determined, a fast iterative shrinkage threshold algorithm FISTA is adopted to carry out optimization solution, and dictionary refinement is carried out on the detected direction after each iteration convergence so as to reduce off-grid errors; and after a small amount of outer layer iteration is repeated, outputting a final DOA estimation result and corresponding power. According to the method, self-adaptive selection of regularization parameters and noise levels can be realized, and the problem of precision degradation under complex conditions of low signal-to-noise ratio, limited snapshot number, signal source correlation, power imbalance and the like is effectively solved without manual parameter adjustment, so that the robustness and practicability of estimation are remarkably improved.

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.

An embodiment receives a data stream comprising a plurality of sets of wave samples over a defined period of time, wherein receiving the data stream comprises receiving a transmitted signal at a receiver device from a transmitter device, and wherein the receiver device comprises an antenna array. The embodiment adjusts a beam shape at the receiver a number of times while the transmitted signal is being received during the defined period of time using the antenna array, wherein adjusting the beam shape a number of times produces a modulated plurality of wave samples based on different beam shapes. The embodiment determines the angle of arrival of the transmitted signal based at least in part on the modulated plurality of wave samples.

The invention provides a high-resolution DOA (direction of arrival) estimation method and system, and the method comprises the steps: updating a model covariance matrix based on a to-be-corrected space power spectrum and noise information of the iteration of this round, thereby obtaining a direction dependence weight factor, and carrying out the estimation of the direction dependence weight factor. And according to the direction dependence weight factor of the current round of iteration, the to-be-corrected spatial power spectrum, the model covariance matrix and the sample covariance matrix, predicting the to-be-corrected spatial power spectrum and noise information of the next round of iteration, and finally obtaining the spatial power spectrum. According to the method, on the premise that the number of prior information sources is not needed, the problem of spectrum peak merging of a traditional sparse method under the condition of adjacent information sources is solved, stable separation of near-angle incoming waves is achieved, and the high-resolution performance of DOA estimation is remarkably improved.

The invention relates to the technical field of navigation positioning, and discloses a satellite positioning method and device based on deep learning and filter coupling driving, and a medium. Determining a coarse positioning result of the receiver based on a least square method by using an observation pseudo-range between the receiver and each satellite and a model pseudo-range between the receiver and each satellite obtained by modeling; extracting observation quality features based on a coarse positioning result; inputting the observation quality features into a noise estimation model obtained based on deep learning to obtain a measurement noise covariance matrix and a noise compensation value; determining a state vector of a filter at an initial moment based on the coarse positioning result, and updating the state vector of the filter step by step based on the measurement noise covariance matrix and the noise compensation value to obtain a state vector at a to-be-estimated moment, the state vector at the to-be-estimated moment comprising a positioning result of the receiver at the to-be-estimated moment; noise and errors in the environment can be effectively compensated, so that the influence of the noise and the errors is effectively reduced, and the accuracy of satellite positioning is improved.

A method for determining an angle of arrival (AoA) of a radio frequency (RF) signal received at an antenna array. The method includes determining theoretical signals to be received at an antenna array having first and second antenna pairs. Antennas of the first antenna pair are offset from each other by a first offset angle and antennas of the second antenna pair are offset from each other by a second offset angle. A look-up table is generated based on the theoretical signals. An RF signal is received at each antenna pair and the antenna outputs in each antenna pair are combined to produce first and second difference values. The first and second difference values are compared to theoretical difference values in the look-up table. A measured AoA of the RF signal is determined based on the comparison of the first and second difference values to the theoretical difference values.

The invention discloses an unmanned aerial vehicle detection direction-finding device capable of full-band detection, and relates to the field of unmanned aerial vehicle detection direction-finding equipment, the unmanned aerial vehicle detection direction-finding device comprises a direction-finding shell, the direction-finding shell is provided with a plurality of direction-finding antenna units along the circumferential direction of the direction-finding shell, each direction-finding antenna unit comprises a rotating unit, a telescopic unit and a direction-finding antenna, and the rotating unit comprises a rotating cylinder. The telescopic unit comprises a deflection cylinder and a multi-stage telescopic cylinder, one end of the deflection cylinder is rotationally connected with the rotating cylinder, one end of the multi-stage telescopic cylinder is slidably connected with the deflection cylinder, the other end of the multi-stage telescopic cylinder is connected with the direction-finding antenna, and the deflection cylinder adjusts the state of the direction-finding antenna and is used for forming a vertical polarization direction-finding state or a horizontal polarization direction-finding state. The rotating axis of the rotating cylinder is perpendicular to the rotating axis of the deflection cylinder, the rotating cylinder is used for adjusting the direction finding angle of the direction finding antenna, four monitoring technologies of low frequency band, high frequency band, vertical polarization and horizontal polarization are achieved through one antenna, and the direction finding antenna can be applied to more complex environments.

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.

The invention relates to a neural network angle measurement method applied to a beam waveguide reflector antenna, and belongs to the technical field of microwaves. Building a neural network angle measurement system applied to the beam waveguide reflector antenna, wherein the neural network angle measurement system comprises a receiving antenna array and a neural network angle measurement model; acquiring two-dimensional directional diagram data; in a non-uniform radiation field, echo signal amplitude information received by a 16 horn antenna feed source is used as input of an angle measurement system, an azimuth angle and a pitch angle are used as output of the angle measurement system, and neural network training is carried out; and deploying the generated neural network angle measurement model in an echo receiving and processing system. According to the characteristic that different array antenna energy distributions correspond to different echo incident directions, angle measurement is carried out by using a neural network algorithm. According to the angle measurement system trained through the neural network algorithm, an accurate angle measurement result can be obtained.

A half-spectrum search DOA estimation method based on characteristic value gradient jump belongs to the field of array signal processing, and comprises the following steps: modeling a received signal to obtain an array output vector; calculating a received signal covariance matrix; introducing a complex conjugate covariance matrix and a scanning source to construct a new covariance matrix, and constructing a spatial spectrum function; constructing a characteristic value gradient discrimination function, and adaptively estimating a signal source number by using the characteristic value gradient discrimination function; scanning angles are traversed by using a half-spectrum search method, and a signal direction of arrival is verified and determined by combining an MVDR algorithm according to a sharp spectrum peak formed by a spatial spectrum function. According to the method, source number priori knowledge is not needed, the source number can be identified autonomously, the problem that estimation is inaccurate under complex conditions in traditional half-spectrum search is solved, and the method has good robustness under the scene of unknown source number. According to the method, the limitation that few traditional half-spectrum search angle estimation is inaccurate is overcome, and a new thought is provided for half-spectrum search DOA estimation under the condition that the number of information sources is unknown.

The invention discloses an intelligent reflector assisted user arrival angle estimation method in a multi-carrier ISAC system. In the method, a plurality of users send pilot signals, and each IRS reflects the user signals to a remote radio access unit (RRH). The RRH uploads the received signal to a centralized baseband processing unit pool (BBU) through a forward link; the BBU performs joint processing on the received signals on the plurality of RRHs, and the observation dimension is increased by constructing the frequency domain snapshot observation matrix of the pilot signals on the plurality of subcarriers, so that the estimation precision of the arrival angle from the user to the IRS path is improved. According to the method, frequency domain snapshot information brought by pilot frequency subcarriers is fully utilized, and the angle estimation resolution and robustness are improved. By adopting the scheme of the invention, high-precision user positioning can be realized in a complex environment.

The invention belongs to the technical field of radio metering detection, and particularly discloses a time difference and angle measurement method and device for a microwave navigation landing system and a medium, and the method comprises the steps: responding to a received barker code, obtaining reference time, and carrying out the time synchronization; obtaining a scanning pulse according to the scanning interval and the back-scanning interval; analyzing and extracting the A / D sampling signal according to the scanning pulse to obtain a forward scanning beam and a backward scanning beam in the scanning pulse; obtaining a scanning time difference according to the forward scanning beam and the backward scanning beam; according to the scanned time difference, analysis is carried out based on non-constant clock counting, and a time difference signal is obtained; obtaining MLS angle data based on preset space angle position coding data according to the time difference signal; the invention aims to solve the problems of weak anti-interference acting force and low angle guiding precision of a microwave navigation landing system in the prior art.

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.