3066 results about "Wireless signal" patented technology

The invention discloses a signal processing method based on deep learning and adaptive filtering fusion. The method comprises the following steps: S1, collecting and preprocessing an original signal; s2, carrying out adaptive filtering; s3, constructing a deep neural network model to perform deep feature extraction on the filtered signal; s4, signal fusion and interference elimination are carried out; S5, a real-time closed-loop feedback mechanism is established, and dynamic parameter adjustment is carried out; s6, performing an end-to-end dynamic optimization process; s7, performing iterative updating and high-confidence sample judgment; and S8, processing a newly collected signal by using the trained adaptive filtering module and the deep neural network model, and generating a reconstructed signal through signal fusion. According to the method, through effective fusion of adaptive filtering and the deep neural network, accurate suppression and high-dimensional feature extraction of a multipath effect, nonlinear noise and transient interference in a complex wireless signal are realized, so that the precision, robustness and real-time performance of signal processing are remarkably improved.

Disclosed are a method and apparatus for transmitting and receiving a wireless signal in a wireless communication system. The method according to an embodiment of the present disclosure may comprise the steps of: receiving, from a base station, first configuration information including a list of TCI states, the list of TCI states providing a reference signal for a QCL for a downlink channel and / or a reference for determining an uplink transmission spatial filter for an uplink channel; receiving, from the base station, second configuration information related to a CORESET, a plurality of CORESETs, which have different CORESET full indexes, being configured by the second configuration information; and receiving DCI from the base station.

The invention relates to a wireless signal optimization method and system fused with channel state detection, and the method comprises the steps: obtaining detection state parameters of a fused channel, carrying out the scene decision processing, and outputting a classification result; performing transmission matching according to the classification result to obtain a transmission parameter set; performing channel frequency identification on the fusion channel based on the classification result to obtain frequency band resource block features; and carrying out transmission dynamic adaptation and frequency resource allocation based on the transmission parameter set and the frequency band resource block characteristics to obtain wireless control parameters. According to the invention, the complex characteristics of the channel can be reflected more comprehensively, and the accuracy of channel state detection is improved.

A first communication device capable of selecting a bandwidth, includes a receiving circuit, for receiving a wireless signal from a second communication device according to a first bandwidth; a measurement circuit, coupled to the receiving circuit, for measuring a communication quality of the wireless signal; and a processing circuit, coupled to the measurement circuit, for selecting a second bandwidth according to the first bandwidth and the communication quality; and a transmission circuit, coupled to the processing circuit, for transmitting information of the second bandwidth to the second communication device, for the second communication device to transmit the wireless signal to the first communication device according to the second bandwidth.

According to one aspect of the disclosure, a method for measuring stress of a subject includes: transmitting, by a sensor, a wireless signal within an environment comprising the subject: measuring reflections of the wireless signal to generate a physiological signal responsive to changes in distance between the subject and the sensor over time: processing the physiological signal to extract feature data of the subject; and providing the feature data as input to a stress classification network to determine a stress level of the subject.

The invention discloses an HRF signal synchronization method, device and system of a dual-mode carrier communication system, and belongs to the technical field of power line carrier communication. The method comprises the following steps: dividing a frequency offset range into a plurality of frequency offset hypothesis intervals based on an allowable maximum residual frequency offset range; performing frequency offset pre-compensation on the received signal according to each frequency offset hypothesis interval to obtain multiple paths of frequency offset compensation signals, and performing cross-correlation processing on the multiple paths of frequency offset compensation signals and a local reference sequence to obtain multiple paths of cross-correlation value sequences; in any cross-correlation value sequence, performing self-correlation processing on cross-correlation values of adjacent symbol intervals to obtain a corresponding self-correlation sequence; correlation peak values corresponding to the frequency offset hypotheses are extracted from the multiple paths of self-correlation sequences respectively, the maximum correlation peak value is determined from the correlation peak values, and if the maximum correlation peak value is larger than a synchronization judgment threshold value, the corresponding position is determined to be the synchronization position. According to the invention, high-precision wireless signal synchronization is realized, and high-quality signal transmission is ensured.

The invention discloses a data transmission system and method of an unmanned aerial vehicle, and belongs to the field of unmanned aerial vehicles. The system comprises an unmanned aerial vehicle, an unmanned aerial vehicle hangar and a vehicle, the unmanned aerial vehicle hangar is located outside the vehicle, and a beacon plate with a communication function is arranged in the unmanned aerial vehicle hangar; the unmanned aerial vehicle is used for collecting first data and sending the first data to the beacon plate based on the first data transmission parameter; and the beacon board is used for receiving the first data and sending the first data to a central control platform of the vehicle based on the second data transmission parameter. The unmanned aerial vehicle hangar is deployed outside the vehicle, the beacon plate with the communication function is arranged in the unmanned aerial vehicle hangar, the beacon plate is used for receiving the first data collected by the unmanned aerial vehicle, shielding interference of a vehicle body metal structure on wireless signals is avoided, and it is guaranteed that the first data can be stably transmitted to the beacon plate; the first and second data transmission parameters are set based on different transmission stages, the transmission strategy is flexibly adjusted, and the integrity and transmission efficiency of data transmission are improved.

Apparatus and methods for identifying a wireless signal-emitting device are disclosed. The apparatus is configured to sense and measure wireless communication signals from signal-emitting devices in a spectrum. The apparatus is operable to automatically detect a signal of interest from the wireless signal-emitting device and create a signal profile of the signal of interest; compare the signal profile with stored device signal profiles for identification of the wireless signal-emitting device; and calculate signal degradation data for the signal of interest based on information associated with the signal of interest in a static database including noise figure parameters of a wireless signal-emitting device outputting the signal of interest. The signal profile of the signal of interest, profile comparison result, and signal degradation data are stored in the apparatus.

The invention discloses a wireless ranging method, device and equipment based on an HPLC and HRF dual-mode communication system, and belongs to the technical field of power line carrier communication. The method comprises the following steps: receiving wireless signals sent by a sending end in sequence, and performing frequency domain transformation on the wireless signals to obtain frequency domain response signals; performing interference suppression processing on the frequency domain response signal to obtain a target frequency domain response signal; calculating a synchronous timing deviation corresponding to the wireless signal based on the target frequency domain response signal; and calibrating the sampling clock frequencies of the transmitting end and the receiving end based on the synchronous timing deviations respectively corresponding to the successively received wireless signals, and performing ranging operation after calibration to obtain a ranging result. According to the invention, accurate and stable distance measurement can be realized in a dual-mode communication system based on HPLC and HRF.

Provided are a communication device, a base station, and methods for a communication device and a base station. The communication device comprises a transceiver, which receives wireless signals. The communication device further comprises a circuitry which, in operation, (i) detects, in the received wireless signals, presence of a wake-up signal, WUS, (ii) based on the WUS, determines from the received wireless signals, wake-up information, and (iii) based on the wake-up information, determines to receive control information other than WUS and wake-up information.

The invention discloses an RFID-based railway construction man-machine information intelligent management method, and relates to the technical field of railway construction safety management, and the method comprises the steps: collecting original radio frequency signals and environment data of personnel and mechanical tags in a construction region; constructing and updating a digital twin atlas in real time based on the original radio frequency signal and the environmental data, and performing adaptive calibration on the tag signal by using the atlas to obtain a high-precision spatio-temporal trajectory; inputting the high-precision spatio-temporal trajectory into a spatio-temporal relation inference engine, and outputting a quantized safety risk level; and performing iterative optimization on the digital twin map and the physical rule model based on a feedback result of risk early warning. According to the invention, accurate calibration and compensation of RFID signals in a complex construction environment are realized by constructing a dynamically updated wireless signal digital twin map; a time-space relation inference engine is fused with multi-dimensional data to carry out prospective risk deduction, a quantitative safety risk level is output, and conversion from passive alarm to active early warning is realized.

The invention belongs to the technical field of wireless communication networks, and discloses a wireless signal testing method and system for an unmanned vehicle. The method comprises the steps of synchronously collecting electromagnetic signals inside and outside a vehicle, and generating an electromagnetic observation data set; constructing a calibration observation matrix based on a vehicle attitude, position information, a road side reference signal and a communication link state, extracting a candidate interference cluster set and constructing a power curve, and calculating a Pearson's correlation coefficient and Doppler frequency shift to identify an interference type label; determining an interference source position of each interference cluster by adopting a corresponding interference source positioning algorithm according to the interference type label; comprehensively evaluating the communication reliability of the wireless link of the whole vehicle by combining all interference source positions, corresponding labels and power curves and fusing communication link performance indexes and vehicle state information; according to the invention, accurate identification and traceability of wireless link interference of the unmanned vehicle are realized, and the accuracy and real-time performance of communication reliability evaluation are improved.

The invention relates to the technical field of electric power communication and information, in particular to a substation wireless network performance optimization method based on the Internet of Things, which comprises a data acquisition module, a data transmission and preprocessing module, an intelligent analysis module, a strategy generation module, a strategy execution and feedback module and an effect evaluation and abnormity alarm module. The data acquisition module is used for acquiring operation data and environment parameters of a wireless network of the transformer substation in real time; and the data transmission and preprocessing module is used for performing low-power-consumption transmission, cleaning, normalization and feature extraction processing on the operation data and the environment parameters. According to the application, wireless signal quality (signal intensity, signal-to-noise ratio and the like), equipment operation states (CPU / memory utilization rate and connection number), service load characteristics (flow peak value and protocol type) and environmental parameters (electromagnetic interference intensity, temperature and humidity) are synchronously acquired through the data acquisition module, multi-dimensional data fusion is realized, and a more complete information basis is provided for subsequent analysis.

The present disclosure relates to a wireless communication system and, specifically, to a method and a device therefor, the method comprising the steps of: monitoring a plurality of PDCCH candidate sets within an SS set on a scheduling cell, to detect a PDCCH including scheduling information on at least one cell, wherein each PDCCH candidate set is associated with only one corresponding cell index, and if the at least one cell corresponds to a plurality of cells, PDCCH candidates for the PDCCH are configured in a PDCCH candidate set associated with a smallest cell index among cell indexes of the plurality of cells; and performing data communication on the at least one cell on the basis of the PDCCH.

The utility model relates to a submarine cable state on-line monitoring system, which belongs to the technical field of cable protection equipment and comprises a submarine cable temperature monitoring module, a submarine cable breakdown fault response module, a submarine cable surrounding environment monitoring module, a marine monitoring ship body, a submarine cable environment display module and a submarine cable GIS module. Two supports are fixedly installed at the top end of the marine monitoring ship body, and a wireless signal transceiver is fixedly installed at the top of the marine monitoring ship body. The device has the beneficial effects that the two U-shaped frames can be driven to move in the same direction or opposite directions through the rotation of the two-way screw rod, and then the canopy outside the U-shaped frames can be driven to unfold, so that each part on the marine monitoring ship body is prevented from being eroded by rainwater or severe weather, and the service life of the marine monitoring ship body is prolonged. And therefore, protection can be provided for components on the marine monitoring ship body, and the service life of the components on the marine monitoring ship body can be prolonged.

In an example, a method includes obtaining a first plurality of distance measurements for each of a plurality of wireless signals transmitted between a first wireless device and a second wireless device, wherein a distance between the first wireless device and the second wireless device is known; determining coefficients of a polynomial function describing a relationship between estimate errors introduced to the obtained first plurality distance measurements by multipath signals and a statistical spread of the obtained first plurality of distance measurements; obtaining a second plurality of distance measurements for each of a plurality of wireless signals transmitted between a third wireless device and a fourth wireless device, wherein a distance between the third wireless device and the fourth wireless device is unknown; and correcting each of the second plurality of distance measurements based on the determined coefficients of the polynomial function.

The invention discloses a multi-source data fusion indoor positioning method and system based on deep learning, and relates to the technical field of indoor positioning, and the method comprises the steps: obtaining a wireless signal, inertial sensor data, a timestamp and an indoor map topology; processing the signal through a deep learning model to obtain a preliminary positioning coordinate, and mapping the preliminary positioning coordinate to a map path edge for topological constraint; calculating a displacement and a time interval in combination with the coordinate sequence and the timestamp, fusing the speed and the steering angle of the inertial data, and constructing a spatial-temporal feature vector; calculating a reconstruction error of the vector by using an auto-encoder model to obtain an abnormal confidence coefficient score; if the score exceeds a threshold value, calculating a moving direction according to sensor data, screening a candidate path edge through direction similarity matching, and projecting the coordinate to the edge for correction; otherwise, receiving the original coordinates; and finally outputting the corrected positioning track or the positioning track formed by the original coordinates. The method can ensure that the positioning track better conforms to the actual motion state, and the self-adaptive capability of the positioning system is enhanced.

A base station of the embodiment includes first and second wireless signal processing units and a link management unit. The first and second wireless signal processing units are configured to transmit and receive wireless signals using first and second channels, respectively. The link management unit establishes a multi-link with a terminal apparatus using the first and second wireless signal processing units, sets the first wireless signal processing unit as a primary link, and sets the second wireless signal processing unit to a secondary link. When the secondary link is in an active mode and a first condition is satisfied, the link management unit sets the secondary link to the operation pause mode. When the secondary link is in an operation pause mode and a second condition is satisfied, the link management unit sets the secondary link to the active mode.

The invention relates to the technical field of communication, and discloses a wireless signal coverage enhancement system and method based on reinforcement learning, and the method comprises the following steps: fusing multi-source perception data of a laser radar, a camera and the like, extracting a terminal motion state and environment obstacle information in real time, calculating a relative motion parameter and collision time, and carrying out the real-time detection of the collision time; the method comprises the following steps: estimating a threat level according to the obstacle size and distance, outputting a quantitative threat index and a potential high-risk target, identifying an effective reflecting surface from point cloud data, constructing a time-varying diffraction topological graph according to the dynamic obstacle position, and predicting signal loss of each path by using a graph neural network. According to the method, the optimal diffraction path is predicted by sensing the motion trail of the high-speed dynamic obstacle in real time in combination with environmental electromagnetic characteristics, the beam forming and power strategy is dynamically optimized, the influence of multipath interference and penetration loss on the signal quality is suppressed, and the interruption recovery time can be shortened and the positioning precision and the communication reliability can be improved in a shielding scene.

The invention discloses a micro-action three-dimensional sensing method and system based on WiFi channel state information, and relates to the technical field of wireless signal sensing. The method comprises the following steps: collecting CSI data, preprocessing, and outputting a CSI amplitude matrix and a phase matrix; the phase difference of adjacent antenna pairs is used for counteracting common noise, a linear mapping model of displacement increment and phase change is constructed, and displacement calculation is achieved; designing a space-time TransFormer model, fusing CSI amplitude, phase difference, displacement increment and Doppler frequency shift characteristics through a time sequence and space joint attention mechanism, and outputting an initial three-dimensional trajectory; optimizing the initial three-dimensional trajectory by using a self-supervised learning mechanism based on physical consistency constraint; and finally, constructing a dynamic path filter, carrying out real-time filtering correction on the optimized trajectory in combination with extended Kalman filtering and Bayesian multipath fusion, and outputting a final three-dimensional trajectory, thereby realizing high-precision and low-delay trajectory reconstruction without labeling in a complex scene.

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.

According to embodiments, provided is an antenna comprising: a substrate of a square shape including first to fourth corners; a radiation unit disposed on the substrate and including a first radiation unit and a second radiation unit that radiate a wireless signal; a first feed line that applies the wireless signal to the first radiation unit; a second feed line that applies the wireless signal to the second radiation unit and has an extension line that perpendicularly intersects with an extension line of the first feed line; and a ground portion disposed on the substrate and spaced apart from the radiation unit and having at least a portion of a boundary area including a step shape, wherein the ground unit includes a shared ground unit that is disposed diagonally from a first edge to a third edge, is located between the first radiation unit and the second radiation unit, and performs impedance matching of the first radiation unit and the second radiation unit.

The invention relates to the technical field of bridge underwater part detection, in particular to bridge underwater part detection equipment which comprises a mounting frame, a sealed waterproof shell is fixedly arranged at the upper end of the mounting frame, a lifting frame is hinged to one side of the lower end of the mounting frame, and floating cylinders are fixedly arranged on the two sides of the lower end of the mounting frame; a propeller is fixedly arranged at the rear part of the mounting frame, a detection mechanism is arranged at the lower end of the lifting frame, a wireless signal transceiver is fixedly arranged at the upper end of the sealed waterproof shell, and remote control is realized through the propeller and the wireless signal transceiver, so that the equipment can be autonomously navigated to a to-be-detected area, and the risk and cost of manual diving operation are reduced; the lifting frame adopts a multi-degree-of-freedom adjusting hydraulic cylinder, a motor I and a motor II, so that the position and angle of the detection mechanism can be flexibly adjusted to adapt to piers or underwater structures with different depths and different gradients, and the detection coverage rate and precision are improved.

The invention relates to the technical field of sensors, in particular to a rigid-flexible coupling rotating body deformation sensor based on full-flexible design and a testing method. The sensor comprises an annular main body; the annular main body is a closed ring formed by alternately connecting a plurality of rigid arcs and a plurality of flexible arcs; the rigid arc and the flexible arc are arranged in a manner of meeting dynamic balance; the plurality of micro data acquisition devices are respectively integrated on each rigid arc; the miniature data acquisition device comprises a Wheatstone bridge, a filtering module, a digital potentiometer, an analog-to-digital conversion module, a digital acquisition module, a single-chip microcomputer, a wireless signal sending module and a battery unit. The plurality of strain gauge groups are respectively arranged on the outer surface of each flexible arc; and the thickness of the flexible arc is uniform. According to the invention, deformation adaptation and high-sensitivity measurement are realized through a rigid-flexible arc alternating structure, and convenient monitoring under a rotation working condition is realized through a wireless communication miniature data acquisition device.

A controller for a working vehicle is configured or programmed to, when an attachment is attached to a hitch, if the controller succeeds in selecting one of one or more pieces of identification information that is included in one of one or more wireless signals transmitted from one or more transmitters in or on one or more attachments and received by a receiver according to a predetermined condition, perform a predetermined process based on the selected piece of identification information, and if the controller fails to select any of the one or more pieces of identification information, select, according to a predetermined condition, one of the one or more pieces of identification information that is included in one of the one or more wireless signals received by the receiver when the working vehicle takes action and perform the predetermined process based on the selected piece of identification information.

This terminal: transmits and receives a radio signal in accordance with a sub-band full-duplex communication system in which an uplink sub-band and a downlink sub-band are allocated in a non-overlapping manner in the frequency direction within a prescribed time based on the time division duplex; and receives a message including a higher-layer parameter indicating which of the uplink sub-band or the downlink sub-band is allocated. The terminal controls uplink transmission in the uplink sub-band or downlink reception in the downlink sub-band on the basis of the parameter.

The invention belongs to the technical field of bionic robots, and particularly relates to a multi-mode movement worm-imitating robot based on a paper folding structure. The worm-imitating robot adopts a modular design and comprises a functional module, eight wriggling modules and two rolling modules, main bodies of the functional module and the wriggling module are both of paper folding structures; each wriggling module has the bending deformation capacity in the axial direction and the eighth direction and can be anchored with the movement environment; a gripper of the functional module is used for gripping objects with different shapes and hardness, and is provided with a micro camera for environment detection; the rolling module has a rolling action capability; the robot is driven in a pneumatic mode and a shape memory alloy mode, and actuation is rapid and accurate; the upper computer controls all the function modules through wireless signals, and remote control over the robot can be achieved. According to the worm-imitating robot, machining simplification and overall light weight are achieved, and the deformability is greatly improved.

A method for operating a wireless transmission system includes (i) receiving, as input, direct current (DC) power from a power and data connector that comprises a power input and a bi-directional data connector, (ii) generating a driving signal for driving an antenna of the wireless power transmission system, (iii) generating alternating current (AC) wireless signals based on the input DC power and the driving signal, (iv) propagate AC wireless power signals that are based on the AC wireless signals via the antenna, (v) couple with a wireless receiver system via the AC wireless power signals, (vi) receiving data associated with a peripheral device by decoding in-band data signals from the AC wireless power signals that are encoded by the wireless receiver system, and (vii) providing the data associated with the peripheral device to a client device operatively associated with the wireless transmission system, via the bi-directional data connector.

The invention discloses a space-ground integrated high-precision positioning system and method based on multi-domain fusion, and the method comprises the steps: receiving a wireless signal of a GNSS satellite through a GNSS positioning subsystem based on a navigation map, so as to calculate the GNSS positioning information of a user; matching the GNSS positioning information with navigation map data to realize continuous matching tracking; a positioning subsystem based on low-orbit satellite communication, the subsystem receiving signals sent by a plurality of low-orbit communication satellites, and calculating to obtain low-orbit satellite positioning information; kalman filtering is adopted in the multi-domain fusion positioning subsystem, and GNSS positioning errors are corrected through high-precision observation data of a low-orbit satellite; the subsystem further comprises a self-adaptive weight distribution module which is used for evaluating the positioning signal quality of the GNSS and the low-orbit satellite in real time and dynamically adjusting the weight in the fusion algorithm according to the evaluation result. According to the method, the technical defects of low density, delay caused by repeated transmission and the like of the low-orbit satellite at the present stage can be overcome, and meanwhile, the GNSS positioning result is improved to the centimeter level.

A working vehicle includes a hitch to attach and detach an attachment thereto and therefrom, a receiver to receive wireless signal(s) which are transmitted periodically from transmitter(s) in or on the attachment(s), which include respective piece(s) of identification information of the attachment(s), and which are compliant with a near field communication standard, and a controller. The controller is configured or programmed to perform a selecting process and a predetermined process when the attachment is attached to the hitch and when a predetermined switch is operated with the attachment attached to the hitch, the selecting process including selecting, according to a predetermined condition, one of the piece(s) of identification information that is included in one of the wireless signal(s) received by the receiver, the predetermined process corresponding to the one of the piece(s) of identification information selected in the selecting process.