1752 results about "Wireless signal" patented technology

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 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.

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.

Aspects of the disclosure are directed to dynamic measurement for L1 and L2 mobility. In certain aspects, a user equipment (UE) is configured to obtain, from a first network node, one or more parameters, wherein the first network node forms at least a portion of a serving cell to the apparatus. The UE may measure a wireless signal originated from a second network node, the measurement being based on the one or more parameters, wherein the second network node forms at least a portion of a first candidate serving cell to the apparatus.

Apparatuses, systems, and techniques to perform channel estimation. In at least one embodiment, a processor includes one or more circuits to perform channel estimation corresponding to one or more wireless signals without using a reference signal.

Disclosed are a method and device for transmitting and receiving a wireless signal in a wireless communication system. A method for transmitting a physical random access channel (PRACH) according to an embodiment disclosed herein comprises the steps of: receiving configuration information related to uplink transmission from a base station; and transmitting the PRSCH to the base station on the basis of the configuration information. The configuration information includes information about the subcarrier spacing (SCS) of the PRACH and information about the SCS of a physical uplink shared channel (PUSCH), and the number of resource blocks (RBs) occupied by the PUSCH can be determined, on the basis of i) the SCS of the PRACH, ii) the SCS of the PUSCH, and iii) the length of the PRACH sequence, as the minimum number of RBs to which a PRACH sequence can be mapped, wherein the number of RBs occupied by the PUSCH is expressed as the number of RBs for the PUSCH.

An electronic device according to various embodiments may comprise: a housing; an antenna structure comprising a substrate, which comprises a first substrate surface facing a first direction and a second substrate surface facing a second direction opposite from the first substrate surface, and at least one antenna element disposed on the substrate so as to form a beam pattern in the first direction; a first support part disposed so as to at least partially correspond to the second substrate surface; a conductive bracket comprising at least one conductive extension part disposed higher than the second substrate surface with respect to the first support part; and a wireless communication circuit configured to transmit and / or receive a wireless signal in a designated frequency band by means of the at least one antenna element.

The application discloses a wireless signal transmission method, comprising the following steps: transmitting an incident signal within a set resource time length; a first transmission time delay exists in the process of the incident signal reaching a receiving end; a reverse signal is a scattered signal in response to the incident signal, and a second transmission time delay exists in the process of the reverse signal reaching a target end; the time length of the incident signal and / or the reverse signal is set so that the reverse signal reaching the target end is within the set resource time length. The application also comprises a device applying the method. The application solves the timing problem of a reverse scattering communication device transmitting a signal in a mobile communication network, so as to meet the index requirements of the system in terms of inter-code interference and inter-channel interference, and is especially suitable for a system of reverse scattering communication.

A wireless transmission system includes a transmitter antenna, a sensor, a demodulation circuit, and a transmitter controller. The sensor is configured to detect electrical information associated with AC wireless signals, the electrical information including, at least, a voltage of the AC wireless signals. The demodulation circuit is configured to receive the electrical information from the at least one sensor, detect a change in the electrical information, determine if the change in the electrical information meets or exceeds one of a rise threshold or a fall threshold, if the change exceeds one of the rise threshold or the fall threshold, generate an alert, and output a plurality of data alerts. The transmitter controller is configured to receive the plurality of data alerts from the demodulation circuit, and decode the plurality of data alerts into the wireless data signals.

The invention provides an AI-driven multi-wireless-signal candid photographing detection device which comprises a mounting shell, a hardware acquisition layer, an edge computing layer, a cloud federation layer and a man-machine interaction layer, and all the layers achieve signal interaction through PCIe4.0 and SPI hardware interface communication protocols. The broadband patch antenna, the ceramic antenna and the helical antenna are adopted to cover a full target frequency band, the millimeter wave radar chip is matched, the 16 * 16 metamaterial RIS panel is additionally configured, and the weak signal receiving power is improved by synchronously controlling a reflection phase focusing signal, so that the problem of missing detection is solved; the multi-signal tensor decomposition unit and the CNN-LSTM signal classification unit construct frequency, intensity, time and phase four-order tensors, and overlapped signals are separated through Khatri-Rao space-time coding; a three-layer CNN and a two-layer LSTM are combined, precise classification of candid photographing signals is realized, the misjudgment rate is reduced, millimeter wave assisted precise distance measurement is combined with millimeter wave flight time data and an RSSI attenuation model, a distance measurement error is controlled through a dynamic weighting algorithm, and the problem of positioning misalignment is solved.

A method in which a first device operates in a wireless communication system according to at least one of examples disclosed in the present specification may comprise: receiving configuration information including different types of positioning-related configurations; receiving a reference signal for positioning; and transmitting a measurement report for the reference signal on the basis of at least one of the different types of positioning-related configurations, wherein event conditions are associated with the different types of positioning-related configurations, respectively, and on the basis of satisfaction of a first event condition, the first device transmits a measurement report for the reference signal on the basis of a first type of positioning-related configuration associated with the first event condition.

User equipment according to an embodiment of the present disclosure may detect first DCI for a paging early indicator (PEI), monitor second DCI for paging on a paging occasion (PO) of a first slot related to the PEI, on the basis of detecting the first DCI, and receive a paging message through a PDSCH scheduled by the second DCI, and preferably, the user equipment may determine, on the basis of the first DCI for the PEI, before the monitoring of the second DCI on the PO, whether the second DCI is configured to schedule the PDSCH on the first slot on the basis of same-slot scheduling or configured to schedule the PDSCH on a second slot different from the first slot on the basis of cross-slot scheduling.

A working vehicle includes a linkage, a receiver to receive wireless signal(s) from transmitter(s) in / on the attachment(s) and including identification information of the attachment(s), and a controller configured / programmed to select identification information of the attachment attached to the linkage from the identification information included in the received wireless signal(s), and start a process based on the selected identification information. The controller is configured / programmed to cause a memory and / or storage to store, for a first period of time, the identification information included in the received wireless signal(s), and when the attachment is attached to the linkage, perform a first selecting process to select identification information satisfying a first condition from the stored identification information, and, if no identification information satisfying the first condition is stored, perform a second selecting process to select identification information satisfying a second condition from identification information included in wireless signal(s) received after the attachment is attached.

Examples pertaining to repeater gain control for device collaboration in distributed MIMO systems are described. An apparatus (e.g., a repeater) may determine a first compensation value for a first path loss on a first link between the apparatus and a UE, and determine a second compensation value for a second path loss on a second link between the apparatus and a network node of a wireless network. The apparatus may also determine a repeater gain for uplink power control according to the first compensation value and the second compensation value. The apparatus may further forward a radio signal from the UE to the network node according to the repeater gain.

Techniques for controlling motion of physical, moving devices within a robotic work cell of an inventory system are disclosed. A user device (e.g., a wearable device) can be used within the workspace to transmit wireless signals. One of these signals can be received by one or more receiving devices associated with the robotic work cell. A proximity monitoring engine can transmit notification data to a machine controller while the signal is being received. Transmitting the notification data may cause the machine controller to execute instructions to halt motion of the robotic device (and / or other moving devices associated with the robotic work cell). The devices of the robotic work cell may remain in a halted state while the signal continues to be received. When the signal is no longer being received, the devices of the robotic work cell may be instructed to resume motion.

Photovoltaic electric control shutter hollow glass externally connected with a control box comprises a window body, a shutter blind, an electric driving device, a photovoltaic assembly and a receiver, the shutter blind is arranged in the window body, the electric driving device is arranged in an upper frame of the window body and used for driving the shutter blind to complete lifting and overturning, and the electric driving device is electrically connected with the wireless receiver; the receiver comprises a bottom box, a box cover and a main control circuit board, the main control circuit board is provided with a microprocessor, a power management unit, a photovoltaic charging management unit, a motor driving unit, a wireless signal receiving and processing unit, a key unit and an indicator light unit, and the photovoltaic charging management unit is electrically connected with the photovoltaic module; the wireless receiving device is installed in the upper frame of the hollow glass, the control key box which is externally connected and installed in a lower mode is adopted, the appearance of the hollow shutter glass can be neat, the key control box can be disassembled and assembled according to needs to be debugged and operated, the set height of the control key box better conforms to the using habit of a user, and operation is more convenient.

This invention discloses a method and apparatus for single-channel blind source separation of wireless signals based on deep neural networks. Specifically, in the training phase, a signal dataset is created, including a training set and a validation set; a dual-path complex time-domain convolutional network is constructed; a custom network training objective function is created; the obtained signal dataset is used to train and validate the dual-path complex time-domain convolutional network, resulting in a trained dual-path complex time-domain convolutional network; in the application phase, the time-frequency aliased signal to be separated is acquired through a single antenna; the time-frequency aliased signal is segmented and processed to obtain a fixed-length complex-form aliased signal; using the trained dual-path complex time-domain convolutional network, multiple signals are separated from the complex-form aliased signal and sent to a demodulator for demodulation to recover the bit data of the separated signal. This invention can effectively separate simultaneously and in-frequency mixed signals under single-antenna reception conditions, improving the anti-interference capability of wireless communication.

A human-powered vehicle component comprises wireless communicator circuitry. The wireless communicator circuitry is configured to transmit a first wireless signal to a first additional human-powered vehicle component using a first communication protocol in response to a first user input. The wireless communicator circuitry is configured to transmit a second wireless signal to a second additional human-powered vehicle component using a second communication protocol different from the first communication protocol in response to a second user input different from the first user input.

The invention relates to the technical field of optical fiber wireless communication and mobile forward transmission, in particular to a digital analog optical fiber wireless forward transmission transmitting end parameter self-adaptive optimization method and system based on reinforcement learning. Decomposing the normalized wireless signal into digital parts of all levels and a final analog residual error part through multi-level modulation, and transmitting the digital parts and the final analog residual error part in a time division multiplexing manner; a receiving end represents inter-symbol interference caused by link nonlinear distortion and bandwidth limitation, and the signal-to-noise ratio of a recovery signal is calculated based on the error vector amplitude. Parameters of a transmitting end are optimized and modeled into a Markov decision process, states comprise rounding factors, scaling factors, constellation forming factors and pre-equalization filter tap coefficients of all levels, and actions are discrete increments of the parameters; a reinforcement learning agent is constructed by using a dual deep action value network, and training is updated in combination with experience playback and a target network. The reward function comprises a threshold satisfaction item and a signal-to-noise ratio change item; parameters are interactively updated in the training stage, and online self-adaptive adjustment is performed in the reasoning stage.

Examples relate to systems and methods for providing multiplayer experiences on a head-wearable apparatus, such as AR glasses. The system receives, by a first head-wearable apparatus, a short-range wireless signal from a second head-wearable apparatus, the short-range wireless signal including data that identifies a first digital effects session that is currently active on the second head-wearable apparatus. The system obtains, by the first head-wearable apparatus, information corresponding to the first digital effects session based on the data. The system, in response to obtaining the information corresponding to the first digital effects session, presents an indicator in a user interface of the first head-wearable apparatus, the indicator informing a user of the first head-wearable apparatus that one or more digital effects sessions are currently active on one or more head-wearable apparatuses within a threshold distance of the first head-wearable apparatus.

Disclosed are systems and techniques for proximity detection using a wearable sensing device. An example method can include obtaining sensing data based on one or more wireless signals, the sensing data comprising at least one of a proximity measurement and a distance measurement; determining, based on the sensing data, a spatial relationship between a device associated with a user and a source of the one or more wireless signals; determining whether the spatial relationship satisfies a proximity condition associated with a distance threshold; and based on a determination that the spatial relationship satisfies the proximity condition associated with the distance threshold, triggering a sensory alert via one or more output components.

The invention relates to the technical field of software defined radio communication, and discloses a dual-mode adaptive communication method and system based on SDR. The method comprises the following steps: receiving an original wireless signal, preliminarily judging a protocol family, and activating a corresponding signal analysis engine and a channel evaluation engine; the signal analysis engine restores a complete communication message unit, and the channel evaluation engine quantitatively represents a channel state. The information of the two information is input into a dynamic decision-making network, and the network learns an implicit association rule between the semantic integrity of the message and the transmission reliability of the channel and outputs a collaborative decision-making instruction containing a mode priority weight vector. The instruction is finally compiled into a hardware configuration parameter sequence, and the radio frequency front end and the baseband unit are driven to reconfigure, so that mode self-adaptive switching is realized. According to the invention, cross-layer intelligent decision and flexible multi-mode scheduling are realized, and the reliability and efficiency of communication in a complex wireless environment are improved.

An attachment management system comprises a working vehicle, a plurality of attachments, a mobile terminal, and a plurality of communication tags fixed on the attachments to communicate with the mobile terminal through a wireless signal that is compliant with a near field communication standard. The mobile terminal is switchable between a first mode to receive the wireless signals from the communication tags and a second mode to receive the wireless signals from the communication tags and to transmit attachment information. The mobile terminal displays, in the first mode, tag identifiers and a plurality of pieces of attachment information stored in the tag memories of the communication tags, and in the second mode, the tag identifiers and the plurality of pieces of attachment information stored in the tag memories of the communication tags which transmit the wireless signals each having signal intensity equal to or greater than a predetermined threshold.

The invention relates to a sucking and swallowing cooperated breast feeding auxiliary device for a premature infant, and belongs to the technical field of medical instruments. The use method comprises the specific use steps that the premature infant is gently placed on the dynamic fitting body position supporting unit; the flexible pressure sensing unit immediately starts to work to monitor the body position change of the premature infant in real time; when the premature infant starts to suck, a nursing person puts a bionic sucking head of the sucking-swallowing linkage auxiliary unit into the mouth of the premature infant; when the sucking pressure is gradually increased, the valve starts to be linearly opened to discharge milk; when it is detected that the body position of the premature infant deviates towards the right side by 6 degrees, information is rapidly transmitted to the sucking-swallowing linkage auxiliary unit through wireless signals, and a flow adjusting valve is immediately triggered to reduce the milk yield by 30%; when the body position of the premature infant returns to normal, the flow adjusting valve restores to normal milk output; according to the sucking and swallowing cooperated breast feeding auxiliary device for the premature infant, the milk intake amount of the premature infant is increased, and the bucking phenomenon does not occur in the feeding process.

Examples for wireless based occupancy detection are described. In one example, a described method comprises: transmitting, by each of a plurality of transmitters, a respective wireless signal through a wireless channel of a venue; receiving, by a receiver, the respective wireless signal, the received wireless signal different from the transmitted wireless signal due to the wireless channel and a motion of a user when the user is present in the venue; obtaining a plurality of time series of channel information (TSCI) of the wireless channel; computing a plurality of autocorrelation function (ACF) segments based on the plurality of TSCI; generating a plurality of feature maps using a first deep learning model that is shared by the plurality of ACF segments, wherein each ACF segment is input into the first deep learning model individually to generate a respective feature map; inputting the plurality of feature maps together into a second deep learning model to generate an aggregate representation that is independent of a quantity and locations of the transmitters; computing a probability of user presence based on the aggregate representation; and detecting a presence of the user in the venue based on a threshold and the probability of user presence.

The application discloses a body-building rowing machine, which comprises a handle, a transmission mechanism, a water ball, a base, a support frame, a hinged frame, a display mechanism and a seat, the handle is connected with the transmission mechanism, the handle comprises a connecting rod and handles connected at two ends of the connecting rod, a first electrode is inserted into the handle, an end of the first electrode is electrically connected with a PCB, the PCB is arranged in the connecting rod, a battery compartment is arranged in the handle, a battery is arranged in the battery compartment, and the battery supplies power to the PCB, a plurality of color lamp beads are arranged in the water ball, and the PCB controls the light-emitting color of the lamp beads according to a wireless signal emitted by the electric signal of the first electrode. Compared with the prior art, the body-building rowing machine has the beneficial effects that the electric signal on the surface of the hand skin is transmitted to the PCB through the first electrode, the heart rate is calculated by the PCB, the heart rate is transmitted through a wireless signal and displayed in the display mechanism, meanwhile, the light-emitting color of the lamp beads in the water ball is controlled according to the heart rate, and the health condition of the user is prompted.

The invention relates to the technical field of wearable intelligent equipment, and further relates to a method and device for determining the home position of a user and wearable intelligent equipment. The method comprises the following steps: when the wearable intelligent equipment is in an indoor environment, acquiring wireless signal data and multi-source sensing data; determining wireless signal feature data according to the wireless signal data, and determining a standing proportion, a charging behavior similarity and a position aggregation degree according to the multi-source sensing data; performing weighted summation on the wireless signal feature data, the standing proportion, the position aggregation degree and the charging behavior similarity; and when the weighted summation result is not less than the total threshold, determining that the target coordinate is the user home position. According to the method, the wireless signal data and the multi-source sensing data are effectively fused, the problem that a single judgment condition is prone to interference or misjudgment is avoided, the accuracy and reliability of user home position recognition are remarkably improved, a solid foundation is provided for subsequent intelligent services based on home scenes, and therefore the user experience is optimized.

This invention provides a method and apparatus for identifying raw wireless signal targets based on model fusion decision-making, relating to the field of intelligent signal sensing technology. The method involves inputting raw wireless signal data into the signal sensing and preprocessing layer of a signal target identification model to obtain dimensional representation information output by the signal sensing and preprocessing layer. Each signal representation data in the dimensional representation information is then input into the parallel detection and feature extraction layer of the signal target identification model to obtain structured detection evidence corresponding to each signal representation data output by the parallel detection and feature extraction layer. All structured detection evidence is then input into the intelligent fusion and decision-making layer of the signal target identification model to obtain the fusion decision result output by the intelligent fusion and decision-making layer. Finally, the fusion decision result is input into the result output layer of the signal target identification model to obtain the target identification result of the raw wireless signal data output by the result output layer. The technical solution of this invention improves the accuracy of signal identification.

According to various embodiments, an electronic device comprises: a housing; a first substrate disposed in the housing; a second substrate arranged to face the first substrate; a conductive patch disposed on the second substrate; at least one conductive post located near the conductive patch on the second substrate; and a wireless communication circuit disposed on the first substrate and configured to transmit and / or receive wireless signals via the conductive patch, wherein one end of the at least one conductive post is positioned to be couplable to the conductive patch, and the other end can be electromagnetically connected to a ground layer of the first substrate.