4929 results about "Signal strength" patented technology

The invention provides a transmitting power control method and a TOC controller. The transmitting power control method comprises the following steps that S1, quality information of a channel is collected and obtained based on a system receiving end, the obtained quality information of the channel is evaluated, and the quality information of the channel comprises signal to noise ratio (SNR) data, received signal strength (RSSI), bit error rate (BER) data and link quality (CQI) data; the signal-to-noise ratio (SNR) data, the received signal strength (RSSI), the bit error rate (BER) data and the link quality (CQI) data can be obtained through real-time measurement or a prediction algorithm of historical data; and S2, monitoring the network load condition and user distribution in real time based on the system. According to the transmitting power control method and the TOC controller provided by the invention, the channel quality, the network load and the interference condition in a communication system are monitored in real time, and a self-adaptive adjustment mechanism is combined, so that the transmitting power can be accurately controlled, the communication quality can be effectively improved, the power consumption is reduced, and the TOC controller can stably work in a complex environment.

The invention relates to the technical field of electromagnetic pulses, and discloses an electromagnetic pulse data transmission method. The method comprises the following steps: collecting natural electromagnetic pulse signal data of a detection target area through a six-dimensional complementary electrode array structure, and executing Kalman filtering peak extraction and characteristic frequency locking to obtain frequency-optimized signal data; executing first-order and second-order gradient difference matrix calculation and space vector synthesis to obtain signal source position coordinate data and signal intensity data; performing spectral domain reconstruction and multilayer dynamic threshold analysis to obtain a spatial clustering abnormal data packet; and selecting an optimal transmission channel to transmit the spatial clustering abnormal data packet to a cloud server. According to the invention, the influence of an external interference source is effectively eliminated, accurate extraction and characteristic frequency locking of effective frequency band signals are realized, power frequency and harmonic interference thereof are effectively suppressed, the signal-to-noise ratio of the effective frequency band of the signals is improved, and the reliability and timeliness of data transmission in a severe field environment are ensured.

The invention discloses a cargo transportation state monitoring system based on the Internet of Things, and relates to the technical field of logistics management. Electromagnetic signal intensity of each frequency band in a cargo box is recorded in real time through an electromagnetic interference monitoring module, and multi-point temperature data and temperature deviation information collected by a redundant sensor module are combined; the data processing and transmission module is used for preprocessing the signals and uploading the signals to the cloud platform, and the comprehensive analysis module extracts spectrum interference intensity abnormal features and temperature difference fluctuation features and accurately evaluates the influence of electromagnetic interference on the sensor data precision; then, the interference division module divides the interference event into instantaneous interference and continuous interference, the early warning processing module delays the instantaneous interference to trigger the temperature control equipment to adjust and send low-level early warning, and the continuous interference is deeply analyzed to generate a graded early warning signal and guide a coping strategy; and the data reliability, the equipment stability and the cargo protection capability of the cold chain transportation system in a complex electromagnetic environment are effectively improved.

According to the 5G portable WiFi signal enhancement method and system provided by the invention, surrounding environment data are collected through an environment sensing sensor, and a device placement scheme is optimized in combination with a deep learning algorithm, so that the signal coverage range is expanded; the strategy of dynamically adjusting the transmitting power, the signal frequency and the modulation mode can optimize the signal strength according to the environmental change; interference signals are analyzed through quantum calculation, null is formed through the beam forming technology, interference signal receiving is effectively restrained, and the signal strength in the target direction is enhanced. In combination with the Internet of Things technology, uploading equipment state data to an edge server in real time for big data analysis, and pushing a personalized signal enhancement scheme according to different user use environments; through precise placement guidance and a dynamic frequency band switching strategy, a user can enjoy smoother network connection in a use process, and good signal quality is ensured to be kept in a complex environment. According to the invention, not only can the signal quality of 5G portable WiFi be improved, but also more intelligent and personalized network experience can be provided for users.

The invention discloses a Beidou strong deception jamming detection processing method and system, and relates to the technical field of satellite navigation anti-jamming. The invention provides a solution based on dynamic gain monitoring and multi-dimensional feature collaborative analysis to solve the problems that a Beidou / GNSS system is prone to being affected by strong deception interference signals in a complex electromagnetic environment to suppress radio frequency link gain, and positioning failure is caused by the fact that deception signals and real signals are difficult to distinguish in a traditional technology. According to the method, radio frequency gain change is tracked in real time through a digital AGC module to generate an interference-to-signal ratio, an equivalent carrier-to-noise ratio is calculated in combination with a signal carrier-to-noise ratio for primary judgment, and accurate recognition is achieved by fusing verification of multi-dimensional characteristics such as code phase consistency, carrier frequency stability and signal strength fluctuation. The system comprises a radio frequency front end, a digital AGC module, a correlator channel and an interference processing module, and precise suppression of strong deception interference is realized through dynamic reference gain learning, interference signal mark elimination and robust positioning resolving mechanisms.

Aspects of the present disclosure provide an over-the-air (OTA) interferometer that enables transmitting by a source and redirecting by a RIS, to a destination, one or more reference signals over multiple time-frequency resources. The time frequency resource may be time slots. In each time-frequency resource, phases of one or more reference signals may be modified. Signal strength measurements may be made at the destination during the multiple time-frequency resources and used to determine a phase difference between the reference signals received at the destination. Examples of different types of source and destination may be devices such as a base station, an access point, a transmit receive point (TRP) and user equipment (UE).

The invention provides an HPLC (High Performance Liquid Chromatography) and micropower wireless dual-mode communication method, which belongs to the technical field of multiplexing communication, is used for realizing cooperative transmission of power line carrier communication and micropower wireless communication, and comprises a modulation end method and a demodulation end method. According to the modulation end, firstly, HPLC and micropower wireless signals are collected, and band-pass filtering and spectrum sensing are carried out, so that frequency bands which do not interfere with each other are obtained. Then, a unified time reference is established, transmission delay is calculated, and delay compensation is carried out; and then, modulating and transmitting by adopting an orthogonal frequency division multiplexing technology. And at a receiving end, main and standby channels are selected according to the signal strength, and demodulation and data recovery are performed by adopting an adaptive modulation and demodulation technology. According to the scheme, the advantages of HPLC and micropower wireless are fully utilized, fusion of two communication technologies is achieved, and the technical problem that effective cooperation is difficult to achieve due to the fact that existing HPLC and micropower wireless communication often adopt independent communication carriers and transmission protocols is solved.

The invention relates to an automatic switching method of a terminal and a satellite based on multi-attribute decision, and belongs to the technical field of satellite communication. The objective of the invention is to solve the problems of frequent switching and network performance reduction caused by high-speed movement of satellites in a 5G NTN low-orbit satellite communication scene. The method comprises the following steps: firstly, a terminal collects information of satellites in a visible range, including longitude and latitude, signal strength, serial numbers, channel resources and the like, and reports the information to a service satellite; and the service satellite calculates the remaining coverage time of the current satellite on the terminal according to the reported information, and judges whether to trigger switching. And if switching is triggered, the service satellite screens a candidate satellite set, quantitative evaluation is carried out according to attributes such as a satellite elevation angle, residual service time, the number of channels and switching time delay, and the satellite with the maximum comprehensive quantitative value is selected as a target satellite. And finally, the service satellite initiates a switching request to the target satellite and starts a switching process to complete switching between the terminal and the satellite.

The invention relates to the technical field of wireless communication testing, and particularly discloses a Bluetooth headset anti-interference performance testing system which comprises an interference signal generation module, an interference signal dynamic simulation module, a signal stability monitoring and evaluation module and an anti-interference capability identification module. An interference signal comprising a modulation signal, a cross-band noise signal and a dynamic radio frequency signal is generated and injected into a test environment, and a real interference scene is simulated by using dynamic conversion of signal strength and frequency; the monitoring module obtains the intensity and frequency characteristics of the interference signal in real time, and comprehensively evaluates the signal stability based on an intensity abnormal coefficient and a frequency abnormal coefficient; and the anti-interference capability identification module calculates an anti-interference capability coefficient by using a support vector machine in combination with performance data of the Bluetooth earphone under different interference levels, and realizes graded evaluation of earphone performance.

The invention provides an HPLC (High Performance Liquid Chromatography) dual-mode communication stability method, medium and system, and belongs to the technical field of dual-channel multiplexing communication, and the method comprises the following steps: firstly, collecting HPLC low-frequency / high-frequency carrier signals, working voltage / current, temperature and electromagnetic interference data in real time; stable, variable and noise components of a carrier signal are respectively obtained through empirical mode decomposition, and a correlation coefficient matrix of the variable components and interference factors is established by using multiple linear regression and singular value decomposition. And calculating a signal intensity, a signal-to-noise ratio and an error rate evaluation matrix based on the stability coefficient matrix, and constructing an abnormal feature matrix in combination with a communication protocol specification. And finally, inputting the features into a five-layer full-connection neural network, outputting fault type probability distribution through a softmax function, and taking the type corresponding to the maximum probability value as a diagnosis result. According to the invention, the technical problem of rapid and accurate diagnosis of HPLC communication stability in a complex and changeable low-voltage distribution network environment is solved.

Procedures, methods, apparatuses, devices, and computer program products for determining sidelink transmission power. A first Wireless Transmit / Receive Unit, WTRU senses for at least one signal, using: a first receive beam in a first direction associated with an upcoming sidelink unicast transmission to a target WTRU and (2) a second receive beam for in an opposite direction, determines, from the sensed signal(s), scheduled transmissions that will interfere with the upcoming sidelink unicast transmission based on the scheduled transmissions overlapping in time and frequency with the upcoming sidelink unicast transmission, determines a transmission power to compensate for: (1) pathloss and (2) estimated interference at the target WTRU of scheduled transmissions interfering with and that have a lower priority than the upcoming sidelink unicast transmission, the estimated interference based on respective sensed signal received signal strengths, and sends to the target WTRU data in the sidelink unicast transmission using the determined transmission power.

The invention provides an HPLC (High Performance Liquid Chromatography) and micropower wireless dual-mode communication frequency self-adaption method, which belongs to the technical field of dual-mode communication and comprises the following steps: firstly, establishing dual-mode communication by initializing parameters such as carrier frequency, sending power and modulation mode; secondly, electromagnetic interference signals in a power line channel are collected, and a linear superposition noise model containing a time domain weight is established to predict noise characteristics; meanwhile, a zero-crossing point time sequence of the power line signal is analyzed, and a zero-crossing point feature vector is constructed. And in combination with noise spectrum prediction and zero crossing point features, solving a convex optimization problem to obtain an optimal carrier frequency and other communication parameters. For micropower wireless communication, a channel quality evaluation matrix is constructed based on indexes such as signal strength, channel busy degree and bit error rate, an interference prediction model is established, and wireless communication parameters are optimized through quadratic programming. And finally, establishing a switching decision function according to a set communication quality threshold, and realizing self-adaptive switching of dual-mode communication so as to ensure the overall communication quality.

The invention discloses a low-power-consumption Bluetooth device connection matching detection system and method, and relates to the technical field of Bluetooth communication, and the method comprises the steps: sending a broadcast signal to a surrounding environment, enabling a scanning function by a scanning device, scanning the broadcast signal, and recognizing a target device from a scanning result; evaluating the environmental complexity according to the environmental noise data and the broadcast signal strength, and dynamically adjusting a search strategy according to the environmental complexity to obtain a connectable device list; calculating a dynamic matching score of the connectable device according to the real-time state information, and performing identity verification on the connectable device according to the dynamic matching score to obtain a target connection device; the stability of connection matching is judged by periodically detecting signal strength and communication quality information, unstable connection is interrupted according to a detection result, and reconnection is tried. According to the invention, the problem of unstable pairing possibly occurring in the connection process of the BLE equipment can be effectively solved, and the reliability of the equipment and the user experience are improved.

Methods, systems, and devices for wireless communications are described. A transmitting user equipment (UE) may transmit repetitions of sidelink synchronization signal blocks (S-SSBs) in the time domain to a receiving UE to increase signal strength and reliability. The transmitting CE may receive a message from the network which indicates an S-SSB timing configuration for a timing window including multiple S-SSB transmission occasions within an S-SSB period, along with an indication of a periodicity and a duration of the timing window. The transmitting UE may then participate in at least one listen-before-talk (LBT) procedure during the timing window to access the sidelink channel. In such cases, the number of S-SSB occasions in the timing window may be numerous to compensate for possible failure of at least one LBT procedure. Based on a successful outcome of at least one LBT procedure, the UE may transmit one or more repetitions of the S-SSB.

The invention relates to the technical field of carrier communication, in particular to a multichannel power line carrier communication system which comprises a data acquisition module, a first determination module, a second determination module, a judgment module, a selection module, a sending module and a correction module. According to the invention, through an accurate data acquisition and real-time determination mechanism, complex environment changes in a power network can be effectively dealt with, stability and high efficiency of communication are ensured, channels with optimal parameters such as signal strength, noise, delay and the like are optimized through multi-stage screening and determination, channels with relatively large interference and noise are effectively avoided, and the communication efficiency is improved. Meanwhile, the correction module can adjust the intensity threshold value in real time, it is guaranteed that the system still maintains excellent communication performance when the number of channels fluctuates and the network load changes, and the problems that due to the fact that the attention degree of the influence of real-time environment changes on signal quality is low, channel selection is inaccurate, and verification results are deviated are effectively solved.

A method for dynamically adjusting transmit power of a first device that is in communication with a second device using a wireless communications protocol includes, in part, determining, by the second device, a received signal strength indication (RSSI) associated with a signal received from the first device; determining, by the second device, a first amount of power adjustment for the first device in accordance with the determined RSSI; transmitting the first amount of power adjustment from the second device to the first device; determining, by the first device, a second amount of power adjustment for the first device in accordance with the RSSI and the first amount of power adjustment; and changing a transmit power of the first device in accordance with the second amount of power adjustment.

The invention relates to the technical field of electric power communication, and discloses a district physical topology identification method based on dual-mode communication signal strength, comprising the following steps: S1, building a district network; s2, topology identification is started, self initialization is completed, and necessary environment preparation before topology identification is carried out; s3, adding STA operation participation data one by one until all STA data are added; s4, identification calculation is started, branch calculation is carried out through HPLC signals of neighbor STAs by adopting a mode of selecting a rated threshold value, meter box calculation is carried out through HRF signals of the neighbor STAs, and relevancy ranking is determined; and S5, obtaining a topology result, and ending identification. According to the method, identification of the physical topology of the transformer area can be completed without additional equipment and manual intervention, and the method is safe, convenient and high in practicability. In the recognition process, the method is not affected by load voltage and current changes and the length of a power line, and compared with an existing impedance calculation and time delay calculation scheme, the recognition accuracy is high.

The invention discloses a control system for two-wheeled vehicle communication equipment, which relates to the technical field of communication equipment control and comprises a weak signal detection module, a signal fluctuation analysis module, a connection interruption evaluation module, a dynamic control optimization module and a self-adaptive adjustment module. The signal fluctuation analysis module is used for analyzing the network signal intensity fluctuation degree of the communication equipment in a weak signal environment based on the acquired network signal fluctuation information, and acquiring connection interruption risk information of the communication equipment in real time if the fluctuation degree exceeds a preset threshold value; and the connection interruption evaluation module is used for evaluating the connection interruption risk of the communication equipment under the condition of network signal fluctuation when the two-wheeled vehicle enters the weak signal environment. The problems of unstable connection, frequent disconnection and high power consumption of two-wheeled vehicle communication equipment in a weak signal environment are solved, intelligent detection, accurate evaluation, dynamic optimization and adaptive adjustment are realized, and the communication stability and the equipment cruising ability are improved.

The invention discloses an antenna control method and device and electronic equipment, and relates to the field of multimode cooperative communication, and the method comprises the steps: analyzing the characteristics of the environment around an antenna, generating an optimal polarization strategy in combination with a characteristic analysis result and a polarization switching prediction algorithm, transmitting a test signal through an antenna array controller, and recording a channel impulse response, time inversion processing is carried out on the channel impulse response, a time inversion signal and a phase compensation parameter are combined to generate a reverse emission signal, the reverse emission signal is reemitted, an optimal polarization strategy is combined to adjust the polarization state of each array element, a beam forming parameter set is generated, and the phase and amplitude of antenna equipment are adjusted through a controller. And monitoring signal strength and transmission efficiency, and generating a signal transmission performance data report. The antenna polarization switching method and device solve the technical problems that an antenna polarization switching algorithm cannot adapt to a dynamic electromagnetic environment and a multipath effect, the stability is insufficient, the signal strength is unstable, and the communication quality is affected in the related technology.

The invention discloses a base station coverage anomaly detection method based on big data analysis, and belongs to the technical field of base station coverage detection in the technical field of communication. Aiming at the problems that the existing base station coverage anomaly detection is insufficient in accuracy and cannot adapt to dynamic environment change, the method comprises the following steps of: acquiring operation data such as received signal strength indication values of all base stations in a target area for continuous 1-30 days and 10-60 minutes, performing dimension reduction processing, and calculating a coverage characteristic value obtained by multi-dimensional index linear weighting; the method comprises the following steps: acquiring a coverage anomaly probability value, inputting the coverage anomaly probability value into an isolated forest model which is trained by historical data and can be dynamically updated, outputting the coverage anomaly probability value, and when the coverage anomaly probability value is in an interval greater than 0.7 and less than or equal to 0.9, marking a corresponding base station position on an electronic map as a coverage anomaly area. The method can accurately position the abnormal coverage area of the base station, is suitable for real-time monitoring and abnormity identification of the coverage state of the base station in communication network maintenance, and improves the network optimization efficiency and the service quality.

A method can comprise receiving, by a system, a service request from a user equipment. The method can further comprise, based on the service request, determining respective signal strengths of respective radio access technologies of multiple radio access technologies being used for cellular broadband communications. The method can further comprise, identifying a subset of the respective radio access technologies for which a signal strength criterion is satisfied. The method can further comprise processing a subset of the respective signal strengths corresponding to the subset of the respective radio access technologies using a machine learning model to determine a selected radio access technology, wherein the machine learning model is trained to determine the selected radio access technology based on an energy efficiency metric of the system and based on resource allocation of the system. The method can further comprise communicating with the user equipment via the selected radio access technology.

The invention discloses an unmanned aerial vehicle communication terminal supervision method based on multi-source information fusion, and the method comprises the following steps: S1, multi-source information collection: collecting multi-source heterogeneous data of an unmanned aerial vehicle communication terminal in parallel, the multi-source heterogeneous data at least comprises terminal transmitting power, received signal strength (RSSI), signal-to-noise ratio (SNR), adjacent region interference strength, wireless link transmission error rate, terminal positioning data, flight state data and environmental meteorological data; and S2, information fusion and feature extraction: carrying out space-time alignment and normalization processing on the multi-source heterogeneous data collected in the step S1, inputting the data into an information fusion model for feature layer fusion, and outputting a group of fusion feature vectors capable of comprehensively representing the current operation state of the communication terminal. According to the invention, more reliable unmanned aerial vehicle communication terminal supervision can be realized.

The present application relates to a method and apparatus for random access in non-terrestrial networks (NTN). An embodiment of the present disclosure provides a user equipment (UE), which includes: a transceiver configured to: receive configuration information associated with repetition of a random access message; and a processor configured to: determine whether to transmit a request for the random access message with repetition, or determine whether to transmit the random access message with repetition for a random access procedure based on the configuration information, wherein the configuration information at least indicates one of the following: a signal strength parameter and a signal strength offset associated with the signal strength parameter; a non-signal-strength parameter; a non-signal-strength parameter and a non-signal-strength offset associated with the non-signal-strength parameter; or a signal strength parameter and a non-signal-strength parameter.

A wireless device that supports sidelink communication may transmit a sidelink transmission in a first set of one or more slots. The wireless device may measure a received signal strength indicator (RSSI) in a second set of slots, the RSSI indicative of a channel busy ratio (CBR) over a combined set of slots including both the first set of one or more slots and the second set of slots and transmit the sidelink communication based on the CBR associated with the combined set of slots.

A system includes a plurality of access point devices (APs) configured to provide a wireless network at a site, each of the plurality of APs having a known location, and a network management system comprising one or more processors and a memory comprising instructions that when executed by the one or more processors cause the one or more processors to: determine, based on a known location of a first AP of the plurality of APs, a known location of a second AP of the plurality of APs, and received signal strength measurements of wireless signals originating at one or more antennas of the first AP and received by one or more antennas of the second AP, an orientation angle of the second AP; and generate an output indicative of the orientation angle of the second AP.

A display device may include at least one processor configured to execute one or more instructions to cause the display device to: based on receiving a wireless communication connection request from an electronic device, detect a first signal strength or a second signal strength of a wireless communication signal received from the electronic device, the first signal strength being higher than the second signal strength; based on the wireless communication signal having the first signal strength: select a first connection mode with a first waiting time to automatically connect to the electronic device; and control a display to display the first waiting time. The at least one processor is further configured to: based on the wireless communication signal having the second signal strength: select a second connection mode with a second waiting time to automatically connect to the electronic device; and control the display to display the second waiting time.

The invention relates to the technical field of communication control, and discloses a communication control method and system based on a dual-mode communication module, the system integrates two communication modes of 4G and 5G, and flexible and reliable real-time data transmission is realized. The core is that a communication quality evaluation module is introduced, and 4G and 5G communication quality is scored by analyzing data such as signal strength, data transmission rate and packet loss rate. The system constructs a fault prediction module, and predicts the type and probability of future communication faults by using historical communication quality scores and equipment operation state data. And the maintenance early warning module carries out early warning on the maintenance demand of the communication equipment in combination with the evaluation and prediction results. And the maintenance scheme generation module automatically generates a maintenance scheme according to the early warning result, triggers an emergency notification when the maintenance demand is high and provides detailed steps. According to the invention, the stability and reliability of communication service are improved, and the maintenance process of communication equipment is optimized.

The invention relates to the technical field of ultra-far offshore data transmission, and discloses an ultra-far offshore distance real-time data stable transmission method and system. The method comprises the following steps: acquiring target transmission link data, and extracting dynamic fluctuation characteristics containing signal strength distribution information and a delay jitter relationship from the target transmission link data; calling the trained channel estimation network to carry out signal positioning processing on transmission link data, and generating a signal transmission path set containing a channel type identifier and phase code mapping relation; based on the set, calling a waveform analysis network to perform multi-modal feature fusion on the signal intensity distribution information to obtain a fusion result containing time-frequency domain features and modulation mode features; and inputting a fusion result into a transmission strategy model to perform dynamic path selection, and outputting a real-time data transmission element containing a control instruction generated based on a signal transmission sequence and a phase self-calibration parameter. According to the method, stable transmission of real-time data under the ultra-far offshore distance can be realized.

Methods, systems, and devices for wireless communications are described. In some systems, a user equipment (UE) and a base station may participate in a one-shot initial access procedure involving a reconfigurable intelligent surface (RIS) divided into a number of sub-RISs, each sub-RIS associated with a different configuration for reflecting signaling from the base station. In some aspects, the base station may configure each sub-RIS to have a different frequency shift and transmit, to the UE, a parameter indicating a quantity of synchronization rasters associated with each of a set of beams that the base station may use as part of the one-shot initial access procedure. The UE may, for each beam, monitor a quantity of monitoring occasions corresponding to the quantity of synchronization rasters and transmit random access signaling to the base station based on which synchronization raster of which beam provides a greatest signal strength at the UE.

The invention provides a method and a device for predicting influence of sea wave fluctuation on signal intensity based on ship data. The method provided by the invention comprises the following steps: acquiring multi-attitude angle data of a ship based on a nine-axis inertial measurement unit; the multi-attitude angle data comprises a rolling angle, a pitch angle and a yawing angle; establishing a Cartesian coordinate system taking the gravity center of the ship as an original point; based on the multi-attitude angle data, calculating spatial transformation of the antenna position in the Cartesian coordinate system through an automatic spatial transformation algorithm to obtain the transformed antenna position; determining the direction of the transformed antenna through vector operation by combining the initial orientation of the antenna and the position of the transformed antenna; and determining a corresponding angle through an angle resolving algorithm based on the initial antenna direction and the transformed antenna direction, matching a corresponding antenna gain in an antenna gain database based on the angle, and determining a signal strength change prediction value based on the antenna gain.