37 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.

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.

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.

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.

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.

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.

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.

The invention discloses a link adaptive transmission and wireless interference identification method and device, relates to the technical field of wireless communication, and aims to automatically match channel conditions and characteristics degraded by interference to carry out link adaptation. The method comprises the steps of determining current scheduling resource information of a user; determining a current MCS at least based on a first MCS adjustment amount corresponding to a modulation and coding strategy of the user and a second MCS adjustment amount corresponding to the current scheduling resource information; and transmitting data based on the current MCS. According to the invention, the second MCS adjustment amount corresponding to the current scheduling resource information is added for each user, and the second MCS adjustment amount can reflect the time-frequency domain characteristics of the interference, so that the link self-adaption can accurately adapt to the interference influence to adjust the user coding modulation mode, thereby improving the rate experience and stability of the user.

A processor-implemented sentinel agent implemented at an access point or backend of a wireless network, such as a Wi-Fi LAN, detects interference by collecting performance data associated with communications in the wireless network, generating a plurality of metrics based on the performance data, and determining whether interference exists based on the plurality of metrics, wherein the plurality of metrics includes two or more of a signal-to-noise ratio (SNR) metric, a packet error rate (PER) metric, a throughput metric, a delay 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 sentinel agent generates an interferer detection variable for each metric based on (i) the metric itself and / or (ii) a variation in the metric over time; generating an interferer detection score based on the interferer detection variable; and determining whether interference exists based on the interferer detection score.

The invention relates to the field of wireless communication, and discloses an anti-interference wireless communication method and device.The method comprises the steps that the distance between an unmanned aerial vehicle and a ground station is calculated, the receiving power of the unmanned aerial vehicle is calculated according to the distance, and a deviation value is added on the basis of the receiving power of the unmanned aerial vehicle to form a receiving power range; querying a bias voltage and receiving power comparison table according to the receiving power range to obtain a corresponding bias voltage value; controlling a bias voltage control module to output a corresponding bias voltage signal to the graphene-based controllable antenna according to the acquired bias voltage value, so that the graphene-based controllable antenna only allows a signal corresponding to the receiving power range to pass through; and meanwhile, the PIN diode switch impedance matching matrix is controlled to carry out impedance circuit switching so as to adapt to the corresponding resonant frequency point. The method has the advantages that target power signals can be effectively and selectively received according to different distances from the unmanned aerial vehicle to a ground station, high-power electromagnetic waves are filtered out, and therefore electromagnetic wave energy suppression type wireless interference points are avoided.

Methods, apparatus, and systems for over-the-air cancellation of interfering wireless signals are provided. In embodiments, a reconfigurable surface is placed in the vicinity of an antenna and tuned to decrease the power of interfering wireless signals being received by the antenna. The reconfigurable surface comprises cell elements each having a respective reflection coefficient that can be adjusted to reflect and phase shift a portion of the interfering wireless signals to cause destructive interference with another portion at the antenna. In some embodiments, the adjustments are optimized through an iterative algorithm such as an artificial intelligence algorithm. Embodiments can facilitate improved reception of desired signals and minimized reception of in-band or out-of-band interference to enable full-duplex wireless communication between stations of a network.

Proactive external wireless interference mitigation is presented herein. Based on first metrics corresponding to a group of wireless devices that has been communicatively coupled to a wireless access point device, a system partitions a wireless coverage area into respective regions. Based on second metrics representing external interference corresponding to respective physical resource blocks utilized via wireless communications corresponding to the respective regions, the system associates defined degrees of the external interference to the respective regions. In response to determining that a location of a wireless device corresponds to a region of the respective regions, the system determines whether a defined degree of the external interference associated with the region satisfies a defined condition representing that portion(s) of wireless resources corresponding to the region are to be prevented from being assigned to the wireless device to minimize an effect of the external interference on the wireless device.

The present disclosure provides a wireless interference suppression method, device and program product. The method comprises: a first device comprising a WiFi module and a Zigbee module, such as a wireless router, an AP or a Zigbee-enabled FTTR product, etc., sending a negotiation request comprising beacon frame period information to a Zigbee terminal; receiving information of one or more target periods determined by the Zigbee terminal according to the information and returned by the Zigbee terminal; reducing the transmission power of the beacon frame in the target period, and receiving signaling and / or data sent by the Zigbee terminal in the beacon frame of the target period. The present disclosure determines the target period by negotiation and reduces the power of the beacon frame, so that WiFi and Zigbee can communicate simultaneously, suppress sidelobe interference, and improve communication efficiency without sacrificing WiFi throughput.

The present application relates to the technical field of electronic interference, and discloses an electronic attack method, an electronic device and an electronic attack system. The method comprises the following steps: obtaining an attack frequency spectrum waveform diagram, wherein the attack frequency spectrum waveform diagram is generated by a preset frequency spectrometer according to a radio frequency signal emitted by a device to be attacked; determining an attack frequency of the device to be attacked according to the attack frequency spectrum waveform diagram; and controlling a preset wireless interference device to emit a radio frequency signal to the device to be attacked according to the attack frequency of the device to be attacked. The embodiment can automatically determine the attack frequency without human intervention, so that the device to be attacked can be quickly and efficiently attacked electronically.

The invention belongs to the technical field of unmanned aerial vehicles, and discloses a tracking early warning method and system for realizing low-altitude unmanned aerial vehicle target warning countering. According to the method, an unmanned aerial vehicle target real-time video acquired by a low-illumination detection camera is preprocessed, the unmanned aerial vehicle target is detected through an improved YOLOv8 algorithm, the unmanned aerial vehicle target exceeding a set threshold value is tracked, and a tracking instruction is sent to a holder through a serial port protocol; the holder drives the tracking camera and the frequency spectrum and frequency band interference countering device to rotate to a target area in real time, and the current position of the holder is transmitted back in real time; and the tracking camera corrects the current position of the holder in real time, triggers the excitation sound warning indicator to give an alarm based on the corrected current position result of the holder, and counters the target by adopting wireless interference and blocking for the cross-border unmanned aerial vehicle. According to the invention, social resource, property and personal safety can be effectively guaranteed.

A wireless communication system includes at least a first wireless station and a second wireless station. The first wireless station receives reference signal configuration information indicating a configuration of a second wireless station transmitting reference signals. The first wireless station monitors for receipt of the reference signals as indicated by the reference signal configuration information. Based on receipt of a first reference signal as indicated by the reference signal configuration information, the first wireless station detects wireless interference at the first wireless station as caused by the second wireless station transmitting a respective wireless beam including the first reference signal. The respective wireless beam may be transmitted by the second wireless station to convey data to a mobile communication device.