55 results about "Wireless interference" patented technology

The invention discloses a network communication dynamic optimization method based on multi-module collaboration, and relates to the technical field of network communication, a dual-mode communication module is deployed at each network node, and the network communication dynamic optimization method comprises the following steps: each network node broadcasts own existence information and power line channel characteristics through an HPLC (High Performance Liquid Chromatography) channel of the dual-mode communication module; each network node scans surrounding wireless networks through an HRF channel of the dual-mode communication module and reports own wireless channel quality information to the gateway; the global state sensing module collects all information and constructs a global network view containing physical topology and a channel quality map. A dual-mode cooperation mechanism, a machine learning prediction model and a dynamic decision strategy can adapt to complex dynamic environments such as power line noise fluctuation and wireless interference change, and communication parameters can be autonomously optimized without manual intervention; and meanwhile, the modular design is convenient to expand to a multi-mode communication scene, and has a wide application prospect.

The invention relates to the technical field of wireless communication, and provides a wireless interference source automatic identification and classification system and method based on deep learning, and the method comprises the steps: 1, receiving an original wireless interference signal, and carrying out the denoising and filtering processing; signal energy is converted into a power spectrum and a time-frequency diagram through fast Fourier transform (FFT) and continuous wavelet transform (CWT); step 2, constructing a time-domain graph branch and a frequency-domain graph branch through a convolutional neural network CNN and a self-attention mechanism Transform architecture, and capturing frequency-domain features and time-frequency features of the interference signal at the same time; 3, fusing the frequency domain and time-frequency domain features through a multi-scale feature fusion network MT in combination with a convolutional neural network and a self-attention mechanism; and step 4, adopting a Softmax activation function to carry out classification identification on the fused features, and outputting the category of the wireless interference source. According to the invention, the wireless interference source can be efficiently, accurately and automatically identified and classified.

The invention discloses an unmanned aerial vehicle flight control method for preventing wireless interference, and belongs to the technical field of multi-unmanned aerial vehicle control. The method comprises the following steps: acquiring and preprocessing an SDR signal; performing interference identification on the preprocessed signal and evaluating an interference identification result; a control strategy optimization framework is constructed based on reinforcement learning, and dynamic updating and optimization of flight control parameters are realized; through a multi-mode communication link and a data temporary storage mechanism, real-time monitoring of a task state in an extreme interference scene is ensured. According to the invention, by constructing a multi-sensor fusion autonomous navigation system, high-precision autonomous positioning and dynamic trajectory correction capability are realized; by introducing an intelligent spectrum decision-making mechanism combining software defined radio SDR and machine learning and utilizing fast Fourier transform FFT and reinforcement learning algorithms, full-band interference identification and adaptive frequency hopping communication capabilities are realized.

The invention discloses an intelligent glasses box based on artificial intelligence and a wireless charging control method thereof, and relates to the technical field of intelligent wearable equipment, and the method comprises the steps: generating a cooperative charging strategy matrix in a local network through an equipment group distributed voting mechanism based on an encrypted prediction parameter packet; generating an electromagnetic field focusing parameter configuration table through a time-frequency-space three-dimensional resource allocation scheme based on the cooperative charging strategy matrix and the three-dimensional coordinates of the equipment in the glasses box; the electromagnetic field focusing parameter configuration table drives the programmable coil array to dynamically adjust the charging signal and generate a charging efficiency real-time monitoring curve; and detecting the actual charging efficiency in the charging efficiency real-time monitoring curve, and dynamically generating an increment optimization parameter packet. Through space coordinate mapping and dynamic spectrum isolation in time-frequency-space three-dimensional resource allocation, accurate directional transmission of electromagnetic energy is realized, wireless interference among multiple devices is eliminated, and charging efficiency optimization and compatibility guarantee are achieved.

One or more computing devices, systems, and / or methods are provided. In an example, a method includes instantiating a first user equipment (UE) module on a first computing device and instantiating a second UE module on a second computing device connected to the first computing device by a wired network. A first base station (BS) module associated with the first UE module is instantiated on a third computing device coupled to the wired network and a second BS module associated with the second UE module is instantiated on a fourth computing device coupled to the wired network. A first resource allocation map is sent from the first BS module to the second BS module. An interference metric is generated based on the first resource allocation map. A data transmission between the second UE module and the second BS module is modulated based on the interference metric.

The utility model discloses a three-wire mooring cable for an unmanned aerial vehicle, which comprises an anode high-voltage cable, a cathode high-voltage cable, a low-voltage cable and a signal transmission module, and is characterized in that one end of the anode high-voltage cable, one end of the cathode high-voltage cable and one end of the low-voltage cable are all connected to the ground end; the other end of the positive high-voltage cable, the other end of the negative high-voltage cable and the other end of the low-voltage cable are all connected to the sky end, the low-voltage cable is further connected with the signal transmission module, the positive high-voltage cable and the negative high-voltage cable are used for transmitting high-voltage power, the low-voltage cable is used for transmitting low-voltage signals, and the signal transmission module is connected with the signal transmission module. The signal transmission module includes a plurality of discrete components. According to the utility model, a wired cable is adopted for transmission, external wireless interference signals can be well resisted, the application of chips in the signal transmission module is reduced, a plurality of discrete components are adopted, the circuit board can be simplified, the failure rate can be reduced, the computing power can be reduced, and the signal transmission module can be widely applied to the technical field of signal transmission.

A communication management resource as discussed herein receives antenna test information derived based on simultaneous transmission of a first wireless carrier frequency and a second wireless carrier frequency from each of multiple different types of antenna hardware. The communication management resource uses the antenna test information to determine wireless interference associated with each of the multiple different types of antenna hardware. The communication management resource then deploys the multiple different types of antenna hardware in a network environment based upon the determined wireless interference.

Techniques for wireless communications are disclosed. These techniques include identifying a change in at least one of: (i) a WiFi radio channel or (ii) a cellular radio channel for a wireless station (STA) supporting both WiFi and cellular radio access technologies. The techniques further include determining one or more WiFi radio channels subject to interference from the cellular radio for the STA, based on a network message received from the STA, and modifying one or more parameters for WiFi communication relating to the STA, based on the determined one or more WiFi radio channels subject to interference.

A wireless communication system includes a first wireless station and a second wireless station. The first wireless station establishes wireless connectivity with multiple wireless stations including the second wireless station. The first wireless station transmits a first notification to the multiple wireless stations, where the first notification includes reference signal schedule information indicating a schedule for monitoring at least one reference signal. The first wireless station additionally transmits a second notification, where the second notification triggering the second wireless station to monitor the at least one reference signal as indicated by the reference signal schedule information.

The application discloses a wireless Mesh network access mode selection method and system based on TimeGAN and a multi-arm tiger machine, and the method comprises the following steps: forming a wireless Mesh network, each Mesh node broadcasts a data packet to other Mesh nodes in a high-frequency H frequency band to form a wireless network, and terminal access is performed in a low-frequency L frequency band; when a node joins or leaves the wireless Mesh network, a routing protocol adjusts the wireless Mesh network; a Mesh node is set as a controller, each Mesh node periodically scans a wireless environment, calculates available channel interference at the node and reports the same to the controller, the controller generates an adversarial network to obtain throughput data of various access strategies in the current wireless interference environment, and then uses the multi-arm tiger machine to determine optimal access strategies of each node and issues the optimal access strategies for execution. By monitoring a communication environment, the advantages and disadvantages of the wireless environment are determined according to interference generated by AP points in different channels in the environment, the optimal access mode is dynamically selected for the Mesh backbone network, and therefore the communication quality and wireless resource utilization rate are improved.

The invention provides an LTE-U wireless signal sensing method and related equipment, which can be used for a wireless interference monitoring and spectrum management system in a complex electromagnetic environment of rail transit, and deeply integrates authorized and unauthorized spectrums, known and unknown protocols, real-time sensing and long-term optimization. A systematic solution is provided for high-reliability vehicle-ground communication, the bottleneck of an authorized spectrum is effectively broken through, on the premise that 1.8 GHz LTE-M is reserved as a high-reliability control main channel, 5.8 GHz and other authorization-free spectrums are intelligently aggregated through the LTE-U technology to serve as data auxiliary channels, under the condition that a spectrum allocation policy is not changed, the available bandwidth of the system is effectively improved by several times, and the system reliability is improved. Through envelope analysis and spectrum sensing, a clean sub-band in an unlicensed frequency band can be identified. Interference is effectively avoided, and the spectrum utilization rate is maximized.

The invention relates to the technical field of railway wireless communication, in particular to a GSM-R (Global System for Mobile Communications-Railway) vehicle-mounted front-end wireless interference test system and a method thereof. Comprising a high-resolution spectrum acquisition unit; an integrated multi-dimensional test unit; a dynamic scene adaptation unit; and an intelligent interference diagnosis unit. According to the invention, multipath channel modeling and Doppler frequency offset estimation in a vehicle-mounted high-speed mobile environment are completed through a dynamic scene adaptation unit, and scene prior information is generated; and the intelligent interference diagnosis unit constructs a vehicle-mounted adaptive multipath frequency offset estimation and interference diagnosis model according to the multi-path frequency offset estimation and interference diagnosis model, and realizes full-dimensional interference feature extraction. According to the method, sudden interference is detected by adopting double modes of known interference accurate identification and unknown interference clustering, internal and external source interference is decoupled and traced through feature analysis and hypothesis testing, the criticality is quantified, and a disposal instruction is generated. Meanwhile, based on a diagnosis-collection closed-loop scheduling mechanism, collection parameters are adjusted in a targeted mode, an interference model is iteratively optimized, and self-adaptive adaptation of the system to a vehicle-mounted dynamic scene is achieved.

A method for reducing wireless interference and power drain for a wireless input device by not requesting acknowledgements (ACK) for packets containing only displacement data. An acknowledgement is requested after a designated time or number of packets. Each displacement data packet contains all the displacement data since the last ACK to allow easy data recovery. Button clicks and other non-displacement data packets include an ACK request.

The invention provides a wireless interference detection method and system, particularly relates to the technical field of wireless communication, is applied to Bluetooth equipment, and comprises the steps that a signal intensity sequence is acquired, the signal intensity sequence comprises N intensity values arranged in order, and the intensity values are used for representing the intensity mean value of a plurality of signals on a corresponding Bluetooth channel; a first set and a second set are generated based on the signal intensity sequence, and the first set is a candidate set with the maximum mean value of the corresponding multiple intensity values in multiple candidate sets corresponding to the N intensity values; each candidate set comprises M continuous intensity values in the signal intensity sequence, and the second set comprises all intensity values except the first set; and calculating a quotient of an average value of the plurality of intensity values included in the first set and an average value of the plurality of intensity values included in the second set to obtain a quotient value, and comparing the quotient value with a set threshold to generate detection information. According to the invention, the wireless interference on the BLE channel can be accurately and comprehensively detected.

An access point for interference detection includes memory configured to store information identifying one or more non-associated client devices that are not configured to communicate with the access point, and one or more processors, implemented in circuitry, coupled to the memory and configured to: determine that communication signals outputted from a non-associated client device to another access point or from the other access point to the non-associated client device are being received by the access point based on the stored information, determine an amount of in-network interference being generated by the communication signals based at least in part on the determination that the communication signals from the non-associated client device or from the other access point are being received by the access point, and output interference information based on the determined amount of in-network interference.

A wireless communication system includes a first wireless station and a second wireless station. The first wireless station establishes wireless connectivity with multiple wireless stations including the second wireless station. The first wireless station transmits a first notification to the multiple wireless stations, where the first notification includes reference signal schedule information indicating a schedule for monitoring at least one reference signal. The first wireless station additionally transmits a second notification, where the second notification triggering the second wireless station to monitor the at least one reference signal as indicated by the reference signal schedule information.

Techniques for reducing wireless interference are provided. A wireless local area network (WLAN) is providing, by an access point using a first radio. It is determined to initiate a geolocation process for the access point using a second radio. A first amount of interference at the second radio caused by the first radio is determined, and either a hot start geolocation acquisition process or a cold start geolocation acquisition process is selectively used for the AP based on comparing the first amount of interference to one or more criteria.

A processor-implemented sentry agent implemented at an access point or backend of a wireless network, such as a Wi-Fi LAN, detects jamming by gathering performance data associated with communications in the network, generating a plurality of metrics based on the performance data, and determining whether jamming exists based on the metrics, which may include two or more of a signal-to-noise ratio (SNR) metric, a packet error rate (PER) metric, a throughput metric, a latency metric, a jitter metric, a modulation and coding scheme (MCS) metric, a retransmission rate metric, a bit error rate (BER) metric, a connection stability metric, and a channel utilization metric. In some implementations, the sentry agent generates a jammer-detection variable for each metric based on (i) the metric itself and / or (ii) changes in the metric over time, generates a jammer-detection score based on the jammer-detection variables, and determines whether jamming exists based on the jammer-detection score.

The invention relates to the technical field of wireless communication, and particularly discloses a wireless communication method and system for multi-sensor interconnection, and the method comprises the steps: obtaining the state information of a wireless link with a gateway; receiving external wireless interference information and scene state information determined by scanning the public toilet environment based on the gateway; determining a transmission priority according to the type of the to-be-sent data; determining a wireless transmission parameter group for transmitting the data to be transmitted according to the wireless link state information, the external wireless interference information, the scene state information and the transmission priority; sending the to-be-sent data to a gateway based on the wireless transmission parameter group; according to the method, a sensor can dynamically adjust a wireless transmission strategy according to real-time link quality, external interference, scene change and data importance in a complex and changeable wireless environment of a public toilet, so that challenges caused by signal attenuation, a multipath effect and the external interference are effectively handled.

Disclosed herein are devices, methods, and systems for mitigating platform-based interference of wireless communications. The platform interference mitigation system may determine a platform-based wireless interference characteristic based on an operational setting of a computing platform, determine an interference mitigation parameter based on the platform-based wireless interference characteristic, and control a wireless communication interface of the computing platform based on the interference mitigation parameter. Such platform-based interference mitigation allows for optimizing the computing platform operations as well as the wireless communication interface.

A method for automatically switching wireless communication frequency points between a master device and a slave device. By sending an access request message to the master device through the default sending frequency point and receiving the response message of the master device, the information interaction between the master device and the slave device is realized, and then the parallel communication mode between the master control device and the slave control device is realized. When multiple master device responses are obtained, the slave device selects the master device with the best communication quality as the response master device according to the communication quality data of the response message, and stores the receiving frequency point and the sending frequency point of the response master device in the local memory. The master device and the slave device adopt different frequency receiving frequency points and sending frequency points for parallel communication, effectively solving the problem of wireless interference during communication between the master device and the slave device. And the slave device has a monitoring function and can receive the information of the master device in real time, including the receiving frequency point and the sending frequency point information of the master device with the best communication quality, providing information for the real-time parallel communication between the master device and the slave device.

The present invention discloses a wireless interference testing method, system and computer-readable storage medium, which belong to the field of wireless interference testing technology. The method comprises a target analysis module, a test analysis module and a test module; the target analysis module is used to perform target analysis on a test target, obtain various wireless interference scenarios that the test target has during application, summarize and analyze each wireless interference scenario, and obtain a test background set of the test target; the test analysis module is used to perform test analysis based on the test background set, and determine a test scheme for performing anti-interference testing on the test target; the test module is used to perform anti-interference testing on the test target according to the test scheme, and obtain test results of the test target in the corresponding test background; and each test result is summarized and analyzed to obtain an anti-interference evaluation result of the test target.

The invention discloses an intelligent interference detection method based on a data enhancement dual-granularity diffusion model, and the method comprises the steps: obtaining a to-be-detected wireless interference signal, and carrying out the time-frequency conversion processing of the to-be-detected wireless interference signal, so as to obtain a corresponding time-frequency characteristic pattern; inputting the time-frequency characteristic graph of the wireless interference signal to be detected into a pre-trained dual-granularity condition guidance DCG model to obtain condition guidance information containing signal multi-scale characteristics; and inputting the condition guidance information into a pre-trained U-Net network to carry out reverse denoising sampling processing, and selecting a category corresponding to a maximum value from a plurality of obtained normalization processing results as a final detection result. According to the method, the technical problem that dirty data misleads model training due to scarcity of real interference samples and easy damage of a signal physical structure by a conventional enhancement means in an existing detection method based on a discriminant deep neural network and a reconstruction method based on a generative model can be solved.

This application provides an LTE-U wireless signal sensing method and related equipment. This application addresses wireless interference monitoring and spectrum management systems in the complex electromagnetic environment of rail transit, deeply integrating licensed and unlicensed spectrum, known and unknown protocols, real-time sensing and long-term optimization. It provides a systematic solution for highly reliable vehicle-to-ground communication, effectively overcoming the licensed spectrum bottleneck. While retaining 1.8GHz LTE-M as the high-reliability main control channel, it intelligently aggregates unlicensed spectrum such as 5.8GHz as a secondary data channel through LTE-U technology. Without changing the spectrum allocation policy, it effectively increases the system's available bandwidth several times. Through envelope analysis and spectrum sensing, it can identify clean sub-bands in the unlicensed frequency band, effectively avoiding interference and maximizing spectrum utilization.

The invention relates to the technical field of equipment platform task scheduling, in particular to an automation equipment platform task scheduling control method and system, and the method comprises the following steps: recognizing automation equipment in an idle state according to the state information of the automation equipment; enabling the automatic equipment in the idle state to enter an environment surveying mode; judging whether an external interference event exists or not so as to generate interference event information; generating and maintaining a wireless interference thermodynamic diagram, wherein the wireless interference thermodynamic diagram reflects the distribution and intensity of local radio interference; and performing a task scheduling decision, wherein the task scheduling decision comprises evaluating the position interference intensity of the candidate automation equipment and avoiding an interference area when a task path of the mobile equipment is planned. The operation stability of the automatic equipment platform can be improved, and limitation is overcome.

The embodiment of the invention discloses a pairing method and device of a cleaning system and a storage medium, and the method comprises the steps that cleaning equipment reads an equipment identifier stored in the cleaning equipment in response to a pairing driving signal received through a communication serial port; the cleaning equipment responds to a base station access signal received through the communication serial port, the base station access signal represents that the base station is connected with the communication serial port through a data transmission line, and the equipment identifier of the cleaning equipment is sent to the base station through the communication serial port, so that the base station stores the equipment identifier of the cleaning equipment as the equipment identifier of the base station, and the equipment identifier of the cleaning equipment is sent to the base station. Determining that the cleaning equipment is paired with the base station under the condition that the equipment identifier of the cleaning equipment is consistent with the equipment identifier of the base station; the method can be carried out offline, is not influenced by wireless interference of a production environment, and can effectively improve the production efficiency and the product delivery quality.

The present invention discloses a remote wireless heating valve control system based on the Internet of Things, which includes an intelligent communication management module, a real-time environment perception module, an adaptive frequency allocation and spectrum management module, a device control and execution module, and a system monitoring and maintenance module. This remote wireless heating valve control system based on the Internet of Things effectively solves the problem of unstable transmission of control instructions caused by wireless interference in complex environments through adaptive multi-band dynamic switching and intelligent interference recognition technology. This system not only improves the reliability and stability of heating control data transmission, but also optimizes heat energy distribution and resource utilization, reduces system operation costs, and significantly enhances the competitiveness and adaptability of the system in the fields of central heating, commercial buildings, and large residential areas.

Techniques are described for interference cancellation of sensing signals. An example wireless communication method includes transmitting, by a second network device to a first network device, a request that triggers the first network device to send transmission characteristics of a sensing signal to be transmitted by the first network device; and receiving, by the second network device from the first network device, configuration information for the sensing signal in response to the request, where the configuration information includes one or more resource positions and one or more parameters of the sensing signal.

A method for detecting wireless interference is provided. The method is implemented by a wireless communication apparatus. The method includes transmitting a request packet to a network node. The method includes generating a delay event when an acknowledgment (ACK) packet is received from the network node after a first time delay has expired and before a second time delay has expired or when the ACK packet is not received from the network node after the second time delay has expired, wherein the first time delay and the second time delay is started from when the request packet is transmitted. The method includes determining an interference level of a network environment between the wireless communication apparatus and the network node based on an interference level table and a number of delay events within a first period of time.