769 results about "Angle of arrival" patented technology

A decentralized event detection and geolocation system is disclosed, utilizing a dynamically adaptable Spontaneously Emergent Geolocation Network (SEGNet) comprising mobile, stationary, and other devices equipped with multi-sensor capabilities. The system operates by obtaining sensor data from distributed devices, applying trained models to detect potential events of interest (EOIs), and dynamically forming device networks for collaborative geolocation and event validation. The system employs synchronization mechanisms and geolocation techniques, including Time Difference of Arrival (TDOA) and / or Angle of Arrival (AoA), to determine event locations through multimodal data fusion and iterative validation processes. The architecture supports multiple operational modes, including decentralized, centralized, and hybrid configurations, enabling operation in connectivity-limited environments and enhanced processing when server access is available. The system is designed to accommodate dynamic task delegation and real-time threshold adjustments based on environmental conditions, providing reliable event detection and geolocation across diverse scenarios.

A wireless transmit / receive unit, WTRU, receives a positioning request message from another WTRU (1402). The positioning request message indicates a request associated with one or more of a sidelink positioning reference signals, SL-PRS, transmission or a SL-PRS reception and indicates a range of one or more parameters associated with the SL-PRS transmission or reception; these parameters comprise one or more of SL-RSRP, angle of departure AoD, angle of arrival AoA, and a line of sight LOS / NLOS metric. The WTRU measures the one or more parameters indicated in the positioning request message (1404) and performs the SL-PRS transmission (1410) or the SL-PRS reception (1410) on the condition that the measured parameters are within the range indicated in the positioning request message (1408).

Technologies directed to using at least three antennas and Ultra-Wideband (UWB) protocols are described. One method includes sending a first signal to a second wireless device with data that cause it to send a second signal at a plurality of times. The method receives copies of the second signal at a first time via a first pair of antennas and copies of the second signal at a second time via a second pair of antennas. The method determines first and second angle-of-arrival (AoA) values from the copies of the second signals at the first and second times, respectively. The method determines location information of the second wireless device, the location information including an identifier corresponding to a first field of view (FOV) corresponding to the first pair or a second FOV corresponding to the second pair and at least one of the first AoA value or the second AoA value.

UE positioning is added by use of a reconfigurable reflecting surface (e.g., IRS). The IRS is configured to adjust elements of the surface. The configuration may include signal switching on or off, signal phase, group delay, or signal amplitude. Positioning reference signal transmissions are performed that have line of sight to the UE and that reflect off the IRS. The UE takes measurements for the transmissions and can determine measurement(s) of angle of arrival or time of arrival or reference signal received power, and / or determine a channel estimation. Multiple methods are proposed to provide UE positioning.

The invention discloses a multi-base-station AOA cooperative low-altitude target rapid positioning system. The system comprises an AOA measurement base station network, an AOA data preprocessing module, an adaptive weighted intersection positioning module, an extended Kalman filtering state estimation module and a data fusion and system integration module. The system synchronously measures the arrival angle of a target signal through multiple base stations, removes noise in combination with smoothing filtering and an anomaly rejection algorithm, and then solves the initial position of a target by using a self-adaptive weighted intersection algorithm based on measurement quality and geometric distribution. And then, fusing the target motion model and the measurement model by adopting an extended Kalman filtering algorithm to realize dynamic estimation and prediction of the position, the speed and the course. The system can realize high-precision and real-time positioning and continuous tracking of targets such as low-altitude unmanned aerial vehicles, small aircrafts and the like in a complex electromagnetic environment and a sight distance limited scene, and has visual display and regional alarm functions.

This disclosure provides systems, methods, and apparatuses, including computer programs encoded on computer storage media, for wireless communication. In one aspect of the disclosure, a method for wireless communication performed by a user equipment (UE) includes receiving cross-link interference (CLI) resource configuration information and angle-of-arrival (AoA) estimation configuration information, The method also includes receiving CLI associated with an uplink transmission transmitted by another UE, and determining a CLI value for the CLI based on the CLI resource configuration information. The method includes determining an AoA value associated with the CLI based on the AoA estimation configuration information, the AoA value corresponding to an estimated AoA at the UE associated with the uplink transmission. The method further includes transmitting CLI report data indicating the determined CLI value and AoA report data indicating the estimated AoA value. Other aspects and features are also claimed and described.

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.

In some aspects of the disclosure, an apparatus for wireless communication by a user equipment (UE) includes a primary receive (PRx) path associated with a first antenna and configured to receive a wireless signal. The apparatus further includes a diversity receive (DRx) path associated with a second antenna antenna. The apparatus further includes a phase shifter configured to phase-modify an interference signal from the second antenna based at least in part on a physical distance between the first antenna and the second antenna and further based on an angle of arrival (AoA) associated with the interference signal. The apparatus further includes a circuit configured to generate a received signal based on the wireless signal and the phase-modified interference signal.

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.

Exemplary system, method and computer-accessible medium for selecting at least one location of (i) at least one receiver or transceiver or (ii) at least one transmitter or transceiver can be provided. For example, it is possible to facilitate a receipt, from the at least one transmitter or transceiver, of a plurality of signals by the receiver(s) or transceiver(s). Each of the signals has a multipath component. Then, it is possible to determine time of flight (ToF) information and angle of arrival (AoA) information of the multipath components present in the signals. Further, it is possible to determine one or more possible locations of (i) the receiver(s) or transceiver(s) or (ii) the transmitter(s) or transceiver(s) based on the ToF information, the AoA information, and a model of physical surroundings. The location(s) of (i) the receiver(s) or transceiver(s), or (ii) the transmitter(s) or transceiver(s) can be selected based on the one or more possible locations and an extended Kalman filter (“EKF”).

The invention relates to the technical field of signal reconstruction, in particular to a complex electromagnetic environment-oriented millimeter wave signal blind source separation and reconstruction system, which comprises a frequency spectrum trend division module, a path fading construction module, an initial cluster label generation module, a multi-solution path screening module and a fusion reconstruction execution module. According to the method, power spectral density sequence processing is carried out on millimeter wave frequency domain data, a multi-dimensional feature group is formed according to a path loss factor, an angle of arrival and the like, and an initial feature cluster is screened through an Euclidean distance, so that the accuracy of signal source classification is effectively improved; after the frequency domain response and the phase contour are continuously subjected to point comparison, path screening is completed by integrating a mean square error residual value, the path misjudgment probability is reduced, time domain resampling and phase frequency offset standardization are executed in fusion reconstruction, the consistency and fidelity of signal reconstruction are enhanced, and the reconstruction precision is improved. The whole process improves the separation accuracy and reconstruction precision of mixed signals in a complex electromagnetic environment.

The invention discloses a photon device and method for simultaneously measuring Doppler frequency shift and an angle of arrival, and belongs to the technical field of microwave photon-assisted radars. The device is configured to enable a transmitting signal and a reference signal to enter a first dual-parallel Mach-Zehnder modulator working in a carrier suppression single sideband modulation mode after being combined so as to generate two positive first-order sideband signals, and then the two positive first-order sideband signals enter a second dual-parallel Mach-Zehnder modulator and are modulated by an echo signal; and a modulation signal output from the second dual-parallel Mach-Zehnder modulator enters a photoelectric detector for photoelectric conversion to generate a down-conversion signal. Comparing the frequency of the down-conversion signal with the frequency of the reference signal by using an electric spectrum analyzer to obtain the magnitude and direction of Doppler frequency shift; the arrival angle of the target can be obtained by monitoring the power of the frequency conversion signal. Measurement of Doppler frequency shift and the angle of arrival can be completed only by using the photoelectric detector with the bandwidth lower than the frequency of the transmitted signal, and the requirement for the bandwidth of the photoelectric detector is lowered.

A method for determining an angle of arrival and / or a direction of arrival of an electromagnetic wave from a mobile device to a receiving unit, in particular a UWB receiver. The receiving unit includes at least two receiving antennas, For determining the angle of arrival and / or the direction of arrival, a phase difference of arrival between signal responses at the receiving antennas is ascertained. The phase difference of arrival is ascertained at such a location in the signal responses that is still situated in the signal responses prior to a particular midpoint of a first signal path.

The invention provides a photonics beam domain receiving large-bandwidth blind source separation device and method for main lobe interference, and belongs to the technical field of wireless communication. The device comprises an optical domain multi-beam receiving module, an optical domain convolution mixing-instantaneous mixing conversion module and an optical domain instantaneous mixing blind source separation module. The optical domain multi-beam receiving module estimates an arrival angle of an antenna array element receiving signal, and the optical delay network constructs a plurality of receiving beams according to the arrival angle to realize synchronous receiving of a mixed signal; the variable optical delay array realizes delay synchronization of different receiving beams and completes conversion from optical domain convolution mixing to instantaneous mixing; and the optical domain instantaneous mixed blind source separation module completes extraction of a target signal through optical domain amplitude weighted iterative optimization. The photonics beam domain reception large-bandwidth blind source separation device and method have the advantages of being wide in working frequency band range, large in bandwidth and low in energy consumption, interference in a beam main lobe is effectively restrained, and the anti-interference capacity of a phased-array antenna is 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.

The invention discloses an analog Doppler frequency shift and arrival angle measuring device and method based on Rydberg atoms, and in the aspect of DFS measurement, the device performs beat frequency on two signals to obtain an intermediate frequency signal frequency which is a DFS value; the device calculates the AOA of the echo signal by measuring the phase difference of the echo signal at two different positions in the cesium gas pool. According to the invention, simultaneous measurement of DFS and AOA can be realized, and the scheme has the advantages of simple structure, stable system, multifunction, anti-interference and the like, and has great application prospects in electronic reconnaissance and countermeasure systems and the like.

The invention discloses an underwater sound environment sensing method based on multi-array-element sparse channel estimation. An underwater sound receiving end receives signals transmitted through an underwater sound multipath channel through a multi-array-element array; performing Hilbert transform on the receiving signal of each array element to obtain an analysis signal, and calculating a cross-correlation function of the analysis signal and the transmitting signal; based on the cross-correlation function, sparse channel parameters, including path amplitude and time delay, of each array element are estimated by adopting an orthogonal matching pursuit algorithm combined with a constant false alarm detection dynamic threshold value; the method comprises the following steps: constructing an array response vector by using sparse channel parameters of a multi-array element array, and searching and estimating angles of arrival, including a direction angle and a pitch angle, of a multipath signal through a spatial spectrum peak value; and based on the arrival angles, amplitudes and time delays of the direct path and the reflection path, inverting an underwater environment structure through a ray acoustic theory, including a reflection point distance and a reflection surface normal vector, so as to realize three-dimensional perception of the underwater reflector. According to the invention, multipath resolution can be improved, and false alarm and missing detection can be effectively reduced.

The present application relates to selecting an antenna optimization parameter of a UE. In an example, grip data indicating a user grip of the UE is generated. The grip data is used in a look-up of antenna data indicating an antenna selection from the plurality of antennas and / or a tuner state from a plurality of tuner states. In another example, reference signal measurements can be generated, each corresponding to one of the antennas. The reference signal measurements can be input to artificial intelligence model that outputs the antenna selection, the tuner state, or a predicted angle of arrival. The predicted angle of arrival can be used in a look-up of antenna data to determine the antenna selection and / or the tuner state.

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.

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 a non-line-of-sight moving target three-dimensional reconstruction method based on an MIMO millimeter wave radar, and is applied to the technical field of radar target detection in a complex urban environment. Aiming at the problem of difficulty in realizing three-dimensional reconstruction of a non-line-of-sight moving target in the existing radar target detection technology, the method comprises the following steps: firstly, establishing a non-line-of-sight multipath propagation model, and exporting a multipath signal model of an MIMO millimeter wave radar; the invention further provides a multipath signal departure angle (DoD) / arrival angle (DoA) unambiguous estimation algorithm, and solves the problem that a main lobe and a grating lobe are difficult to distinguish in the DoD / DoA estimation process of an existing commercial MIMO radar. And finally, proposing a path-oriented non-line-of-sight target three-dimensional positioning algorithm, respectively positioning the non-line-of-sight target by using different paths, and fusing different path positioning results to form a three-dimensional point cloud. According to the method, three-dimensional reconstruction of a plurality of non-line-of-sight moving targets can be realized, and the correlation problem between paths does not need to be considered.

The invention discloses an indoor positioning method based on optical AOA and ultrasonic auxiliary wave distance measurement, a plurality of groups of acousto-optic combined positioning systems are deployed in each indoor direction, each positioning system comprises an ultrasonic transmitter, an ultrasonic receiver, an LED array, a detector array and a microcontroller, and each microcontroller is connected to a terminal; the LED array performs frequency modulation on the optical signals, the ultrasonic transmitter performs pulse modulation on the ultrasonic signals, and the detector array receives the optical signals from the LED array, records the arrival angle when the optical signals arrive and corrects the arrival angle; the ultrasonic receiver receives the ultrasonic signal, and the distance R between the target point location and the ultrasonic receiver is determined by measuring and calculating the time difference of signal propagation; and the position of the target point location in the three-dimensional space is determined according to the corrected arrival angle and the distance R, a self-adaptive dynamic weighting hybrid filtering algorithm is operated, the space coordinate point location of the target point location is obtained, and indoor positioning of the target point location is achieved.

The disclosure relates to a pre-5th-Generation (5G) or 5G communication system to be provided for supporting higher data rates Beyond 4th-Generation (4G) communication system such as long term evolution (LTE). Disclosed is a method of determining a User Equipment, UE, location wherein the UE is in communication with at least two base stations (gNB) of a telecommunication network, comprising the steps of: determining at least one of: a) Angle of Arrival, AoA, of a signal from the UE at each of the at least two gNBs; b) Angle of Departure, AoD, of a signal from each of the at least two gNBs; c) AoA of a signal from each of the at least two gNBs at the UE; and d) AoD of a signal from the UE at each of the at least two gNBs; and determining the UE position on the basis thereof.

The invention discloses an unmanned aerial vehicle monitoring method and system in a complex electromagnetic environment, and the method comprises the steps: extracting a signal feature from a spectrum signal collected in real time, and obtaining a first feature vector; adopting a pre-constructed random forest model to classify the first feature vectors and match the first feature vectors with known unmanned aerial vehicle information to obtain a first model and a first serial number of the unmanned aerial vehicle; according to the coordinates of the at least three measurement stations, calculating the three-dimensional coordinates of the unmanned aerial vehicle by adopting a time difference of arrival positioning technology and an angle of arrival measurement technology; calculating the radial speed of the unmanned aerial vehicle relative to each measurement station by adopting a Doppler effect, and calculating a three-dimensional speed vector of the unmanned aerial vehicle according to the radial speed; and according to the three-dimensional coordinates and the three-dimensional speed vector of the unmanned aerial vehicle, predicting the change trend of the three-dimensional coordinates and the three-dimensional speed vector of the unmanned aerial vehicle in a preset time window by adopting a particle filtering algorithm. By adopting the embodiment of the invention, the identification accuracy, the positioning precision and the anti-interference capability of unmanned aerial vehicle monitoring in a complex electromagnetic environment can be improved.

A device may estimate targets and angle-of-arrival (AoA) and angle-of-departure (AoD) pairs for the targets based on a sensing-aware beam-forming (SABF) signal and a sensing-aware beam-nulling (SABN) signal received from another device. The device may perform post-processing of the AoA and AoD pairs to modify estimation accuracies for the AoA and AoD pairs, and may estimate path loss values for paths of the targets. The device may determine positions of the targets based on the AoA and AoD pairs, and may perform one or more actions based on the positions of the targets. The device may receive communication pilots from the other device, and may determine transmitter calibration coefficients for the other device and receiver calibration coefficients for the device based on the communication pilots.

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 electronic search, and relates to a radio reconnaissance method and system based on multichannel parallel processing and intelligent clustering, and the method comprises the steps: carrying out the multi-phase filtering digital channelization processing of a broadband radio signal, so as to obtain adjacent channel sequences with overlapped frequency bands; performing square law detection and constant false alarm detection on each channel sequence to generate an initial pulse description word; establishing a candidate corresponding relationship in adjacent channels based on arrival time similarity and noise consistency, and determining a cross-channel merging relationship according to frequency range continuity and frequency-time relationship slope consistency to generate a complete pulse description word; performing hierarchical clustering sorting based on the arrival angle and the pulse width; and performing multi-stage differential analysis on a clustering result to extract a repetition frequency sequence and determine a repetition frequency type. According to the technical scheme, the stability and consistency of cross-channel pulse merging and sorting results can be kept under the broadband high-density condition, and the radio search processing precision under the complex electromagnetic environment is improved.

This invention discloses a deep learning-based channel estimation method for asymmetric all-digital communication systems, comprising: designing an uplink receiving array based on a nested sparse array topology to recover the received signal of the sparse array into a virtual array signal of full dimension; decomposing the obtained virtual signal into a grid part and an off-grid part based on Taylor formula, and designing a two-step-angle estimation net (Ts-AEnet) to estimate the signal angle of arrival; solving a least-squares problem to estimate the signal path gain and reconstructing the downlink channel. This invention proposes an uplink receiving array based on a nested sparse array topology in asymmetric all-digital communication systems, minimizing information loss caused by missing antennas, and proposes a deep learning-based Ts-AEnet angle estimation network, which reduces the complexity of channel estimation while ensuring the system's estimation accuracy.

The present invention provides a system and method which allow for the rapid and reliable identification of towed trailers parked together in loading areas. According to a first preferred embodiment, an exemplary method of the present includes: monitoring hook-up criteria indicating that the first truck is maneuvering to hook-up with the first trailer; scanning for one or more transmitting devices when hook-up event criteria are met; determining which transmitting devices are sufficiently close to require an angle calculation based on RSSI levels; performing an Angle of Departure / Angle of Arrival calculation for each of the selected signals; determining which of the closest identified trailers have an Angle of Departure / Angle of Arrival which falls within a pre-set threshold; identifying a hook-up trailer based on detecting the Angle of Arrival / Angle of Departure and the compared RSSI levels; pairing the hook-up trailer ID device with a tractor ID device of the first truck; and transmitting paired ID information linking the hook-up trailer ID and the tractor ID device.

The invention discloses an anti-interference receiving beam optimization method for a communication and perception fusion system. The method comprises the following steps: estimating an arrival angle of a receiving signal of the communication and perception fusion system by using a spatial spectrum estimation algorithm; according to the angle of arrival of the received signal and the mathematical model of the received signal, carrying out inversion to obtain snapshot information of the received signal; according to the snapshot information of the receiving signal, a receiving beam vector optimization problem is constructed, the receiving beam vector optimization problem aims at maximizing the uplink communication channel capacity, interference suppression constraint is introduced at the same time, and an optimal receiving beam vector is designed; and obtaining an optimal receiving beam vector by solving the receiving beam vector optimization problem. According to the invention, external electromagnetic interference signals can be effectively suppressed, the communication quality and sensing performance of an ISAC system are improved, the bit error rate is reduced, and the accuracy of functions of target detection, positioning, tracking and the like is enhanced.