84 results about "Smart antenna" patented technology

The invention provides an unmanned aerial vehicle multi-system navigation decoy system based on intelligent algorithm optimization, and relates to the technical field of unmanned aerial vehicle processing, a sensing module comprises a cognitive radar, a photoelectric / infrared sensor, a magnetic and acoustic sensor and an electromagnetic environment scanning device, and a digital twinning and countermeasure AI module comprises a digital twinning model module and a countermeasure AI engine; the cross-domain multi-source cheating module comprises a multi-system navigation signal synthesis module and a sensor-level cheating module; the reconfigurable intelligent antenna array comprises a metamaterial unit, a real-time beam controller and a biological heuristic intelligent algorithm module, and the system security hiding module comprises an encryption access control unit, a micro-power frequency expansion and hopping unit and a redundant backup and disaster recovery unit. The response time of the system from detection to interference can be remarkably shortened by performing high-fidelity simulation on the flight control logic of the unmanned aerial vehicle and the actual electromagnetic environment in the digital twin environment and combining the hybrid decoy strategy generated by the adversarial AI.

The invention discloses a navigation robot self-adaptive communication system and method based on multi-network collaboration, and relates to the technical field of network communication, the system comprises a network management module which is responsible for safely storing encrypted AP information and network topology data and providing a function of receiving AP configuration update through NFC; the signal detection module is responsible for detecting network parameters and generating a network quality evaluation report; the switching control module is responsible for predicting the signal intensity in future set time, realizing microsecond-level decision response by combining a dynamic threshold algorithm and a manufacturer protocol adapter, and providing a decision basis for optimization of network connection; and the dual-channel communication module is integrated with a WiFi chip and a cellular network modem, realizes operator link redundancy through dual SIM (Subscriber Identity Module) card slots, dynamically optimizes WiFi and cellular signal reception by utilizing a built-in intelligent antenna array, and executes network connection optimization and switching operation according to a decision of the switching control module. The navigation robot can automatically adapt to different network environments.

The invention relates to a quick response liquid crystal phased array intelligent antenna system for a satellite internet of things, and the system comprises a sensing system which is used for collecting a terminal state, a satellite orbit, an environment state, and self-calibration information; the control system is used for generating an optimal beam control strategy based on a multi-target optimization algorithm in combination with the information acquired by the sensing system; the execution system is used for decomposing the optimal beam control strategy into the direction and shape of each beam; and the interconnection system is connected and communicated with an external network based on a plurality of communication interfaces.

A disaster relief system using AI-powered intelligent antennas in drone swarms, consisting of: a plurality of drones configured to collect environmental data in real time, with the drones being deployed in a disaster area environment; a smart antenna system mounted on each drone, each smart antenna system configured to perform adaptive beamforming to maintain communication links between drones; an artificial intelligence (AI) processing unit configured to receive real-time signal data, including obstacle information, drone positions, and interference patterns from the disaster environment, analyze the received signal data using reinforcement learning algorithms, generate optimized beamforming parameters based on the analysis, and transmit the optimized beamforming parameters to the intelligent antenna systems; a swarm communication protocol module configured to establish communication links between the plurality of drones using the optimized beamforming parameters, coordinate task assignments within the drone swarm, and maintain network integrity during operation; and a central control system configured to monitor all swarm operations, process environmental data, and adapt swarm behavior based on disaster relief requirements.

The invention provides a communication device, a communication method, a communication system, electronic equipment and a storage medium, which are applied to the technical field of communication and are used for solving the problem that the coverage range and the antenna gain of an existing intelligent antenna cannot meet the use requirements of different use environments. The communication device comprises a multiplexer and a plurality of antenna structures. The multiplexer comprises a common end and a plurality of selection ends. The common end of the multiplexer is coupled with one radio frequency channel, and the common end is used for being switched and conducted with different selection ends in the plurality of selection ends to form a plurality of paths. The multiple antenna structures comprise phased-array antennas, the multiple selection ends comprise first selection ends, and the phased-array antennas are coupled with the first selection ends. The plurality of antenna structures further comprise an omnidirectional antenna, the plurality of selection ends further comprise a second selection end, the omnidirectional antenna is coupled with the second selection end, and / or the plurality of antenna structures further comprise a directional antenna, the plurality of selection ends further comprise a third selection end, and the directional antenna is coupled with the third selection end.

The invention discloses an intelligent antenna array control method, system and device and a storage medium, relates to the technical field of communication, and aims to solve the problems of insufficient beam forming precision and low energy consumption ratio of a traditional antenna array. The method comprises the following steps: collecting multi-dimensional parameters of a communication environment in real time and generating a dynamic data set, wherein the dynamic data set comprises a user distribution thermodynamic diagram, a channel interference matrix and a multipath feature vector; obtaining a phase and amplitude regulation and control instruction set of each antenna unit in the antenna array based on the dynamic data set and a preset beam adjustment parameter; based on the regulation and control instruction set and the current scene features, a beam template library is called to generate a radiation pattern control signal, the current scene features comprise the geographical environment type and the user distribution density, and the radiation pattern control signal is used for indicating adjustment of the radiation power level.

The present invention discloses a GPS signal management method and system based on artificial intelligence, which belongs to the field of artificial intelligence technology. The method and system include receiving original signals of multiple GPS satellites, performing preliminary screening and noise filtering preprocessing. The method builds a geographic environment model based on signal characteristics in combination with multiple sensors, and adjusts GPS parameters in real time according to environmental changes, so as to adapt to different environmental conditions and improve the adaptability of the signal. The method also performs dynamic signal optimization and enhancement through an intelligent antenna array, and can dynamically adjust the antenna according to the signal strength and the predicted multi-path signal state, so as to further enhance the stability of the signal. The optimized and enhanced GPS signal and the data of multiple sensors are fused for high-precision positioning. By fusing the GPS signal and the geographic environment model information data, the error correction of the initial position estimation can be performed, and the fused position estimation is matched and verified with the geographic environment model, so as to significantly improve the positioning accuracy.

The invention relates to the technical field of power systems and communication, and discloses an intelligent power grid data transmission system and method of a narrowband Internet of Things, and the system comprises a network coverage enhancement module, a low-delay data processing module, a low-power-consumption management module, and an intelligent load management and data analysis module. The method and the device are used for realizing the stability of data transmission in a signal-limited environment. By introducing the multi-network hybrid transmission architecture and deploying the intelligent antenna and the small base station, the signal coverage range and the transmission stability can be remarkably improved in a signal limited or complex environment, and the multi-network hybrid transmission architecture can determine an optimal network according to real-time signal quality, delay and packet loss probability, so that the stability and the reliability of data transmission are ensured, and the data transmission efficiency is improved. The beam forming of the intelligent antenna and the optimized arrangement of the small base station effectively solve the problem that the signal of the traditional NB-IoT is weak in a building dense area or a remote area by improving the signal gain and the coverage depth.

The invention discloses a dynamic beam forming control system and method based on multi-target reinforcement learning, and relates to the technical field of intelligent antennas and arrays, and the system comprises a scene sensing module which collects and processes multi-mode original environment data, and generates scene situation data; the central control module is used for constructing a comprehensive state vector at the current moment according to the scene situation data and the channel state information, and generating an optimal collaborative beamforming action based on a multi-target reinforcement learning algorithm; the cooperative antenna array module is used for executing an optimal cooperative beam forming action and generating an optimal radio frequency beam; the system feedback evaluation module is used for monitoring the system performance after the optimal cooperative beam forming action is executed, calculating a multi-target reward vector, updating the system state and obtaining a comprehensive state vector at the next moment; and the experience storage module is used for constructing experience tuples and storing the experience tuples to the experience playback pool, and regularly updating parameters of the strategy network and the value network based on the experience tuples. According to the invention, the beamforming control performance in a wireless communication environment can be improved.

Implementations of the present disclosure relate to a method implemented at a wireless device. In this method, the wireless device transmits first information related to the position, orientation and a part number of the antenna of the wireless device to an automatic frequency coordination (AFC) system, and the part number is related to the radiation pattern envelope (RPE) of the antenna. Then, the wireless device can receive second information related to the RF signal coverage of the antenna from the AFC system, wherein the RF signal coverage is determined by the AFC system based on the received first information and the transmitting power of the wireless device. Then, the wireless device can adjust at least one angle and / or transmitting power of the antenna based on the second information so that the RF signal coverage of the antenna does not overlap with the RF signal coverage of the adjacent antenna.

The invention relates to the field of 5G-A / 6G terminal equipment, and discloses a wireless terminal-oriented metamaterial intelligent antenna system, which comprises a liquid crystal adjustable metasurface array for receiving control parameters to adjust the phase response of each unit in the array so as to construct direction-controllable electromagnetic beams; the heterogeneous sensing module is used for collecting and processing multi-source data of the surrounding environment of the wireless terminal, and the multi-source data comprises Wi-Fi channel state information and millimeter wave radar reflection information; and the spatial modeling module is used for generating a sensing map of a spatial environment where the terminal is located according to the multi-source data. By constructing the liquid crystal adjustable metasurface array and applying continuous voltage to each unit of the liquid crystal adjustable metasurface array, fine phase control is achieved, rapid reconstruction and dynamic adjustment of the antenna beam direction are achieved, the effect of completing beam switching within the millisecond level is achieved, and the communication stability of a wireless terminal in a high-speed moving environment is effectively improved.

The invention relates to the technical field of wireless communication, and provides a multi-band intelligent antenna array beam forming method and device, equipment and a medium. Dynamic frequency band switching is carried out according to multi-dimensional environment data to obtain frequency band decision parameters, three-dimensional beam modeling is carried out according to the frequency band decision parameters to obtain a beam weight matrix, and hybrid precoding is carried out on the beam weight matrix according to a coding mode to obtain a digital-analog precoding matrix. Performing temperature compensation correction on the digital-analog precoding matrix according to the array temperature distribution data to obtain an optimized precoding matrix, and performing federated learning optimization on a local beam weight model according to the optimized precoding matrix to obtain a global beam forming weight, and performing phase error iterative correction on the global beamforming weight according to the radiation field distribution data to obtain an antenna array control signal. According to the invention, through multi-stage and full-link optimization processing, a complex dynamic environment can be adapted, and a high-precision beam forming effect is ensured.

The present disclosure relates to an optical network terminal (ONT) for an indoor optical network, in particular an optical network terminal providing Wi-Fi services at an indoor service location. The master access device in the present disclosure is provided for an indoor optical network, whereby the indoor optical network includes one or more slave access devices optically coupled to the master access device. Each slave access device includes at least one transceiver and at least two antenna elements operably coupled to the at least one transceiver in a switchable manner. In this regard, the master access device is configured to evaluate one or more parameters of a radio frequency (RF) signal radiated or received by each slave access device, and switch at least two antenna elements of the slave access device based on the one or more parameters.

The present invention relates to the field of communication antenna technology, and specifically to a TD-LTE smart antenna used in a frequency band near 3500MHz, comprising a metal reflector, a radiation unit, a metal isolation wall, a metal isolation strip, and a feed network; the radiation unit, the metal isolation wall, and the metal isolation strip are fixedly installed on the front of the metal reflector, and the feed network is welded and connected to each radiation unit, respectively, and installed on the front or back of the metal reflector. A low-stripped wide-band patch radiation unit with a height of only 1 / 8 of the wavelength of the working center frequency is selected to reduce the antenna beam width. At the same time, a specific metal isolation piece is designed as a radiation boundary, so that the high-frequency band antenna can obtain a unit beam with a 65° wavelength width with superior performance while adopting an array arrangement of conventional low-frequency smart antennas. On this basis, relevant measures are adopted to strictly control the consistency of the amplitude and phase of each radio frequency port, so that the high-frequency band smart antenna can obtain a synthetic beam of superior performance for services, broadcasts, etc.

This invention relates to the field of smart antenna design technology, specifically to a multi-layer transparent antenna system based on a frequency selective surface (FSS). The system includes a transparent FSS interlayer, a dynamic impedance matching layer, a conformal waveguide coupling structure, a control module, and a receiving module signal-connected to the control module. The purpose of this invention is to provide a multi-layer transparent antenna system based on a frequency selective surface, characterized by high multi-band compatibility, dynamic environmental adaptability, high integration, and concealment.

An intelligent antenna switching method, comprising: collecting complex wireless signal parameters of a wireless environment; in the current operation stage, when the maintenance period of the antenna to be switched is 0, comparing the wireless signal quality of the initial antenna and the antenna to be switched according to these wireless signal parameters. When the comparison period of the antenna to be switched is 0, judging whether to switch the antenna according to the judgment result of the wireless signal quality. If the antenna is not switched, the next operation stage is used as the current operation stage. If the antenna is switched, the signal transceiver operation is switched from the antenna to be switched to the outdoor antenna to execute, or switched back from the outdoor antenna to the antenna to be switched to execute, and at the same time, the previous operation stage is used as the current operation stage. The present invention also provides an electronic device and a storage medium, which can quickly wake up available antennas for switching, achieve a more intelligent selection of antennas, and effectively solve power consumption.

1. The name of the design product: smart antenna. 2. The use of the design product: the design product is used for high-precision positioning measurement. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The application discloses a cloud download data packet verification test system, device and method. The cloud download data packet verification test system comprises a test bench, a test host, a cloud, a data packet interception processing device and an intelligent antenna assembly. The test host is used for sending a download request to the cloud. The cloud is used for sending encrypted data packets. The data packet interception processing device is used for intercepting and processing the encrypted data packets, so that processed data packets are obtained, and the data packets are transmitted to the intelligent antenna assembly through physical data lines. The intelligent antenna assembly is used for transmitting the data packets to the test bench. The test host is used for listening to data information of the test bench during decryption and installation of the data packets in the test bench. The application can intercept data packets transmitted by the cloud to the test bench, perform secondary encryption, tampering and other operations on the intercepted data packets, and retransmit the data packets to the test bench, so as to verify detection of the test bench on completeness and authenticity of data of the cloud.

Embodiments can include, for example: an antenna structure including one or more antenna patch structure. The one or more antenna patch structure can include an active antenna element and / or a parasitic antenna element.

The invention relates to the field of image communication equipment, and particularly discloses a digital network set top box with an anti-interference function, the digital network set top box comprises a box body, a cooling fan and a position correction mechanism, a set top box main body and an intelligent antenna array control system are mounted on an inner network plate, and accurate position adjustment and stable fixation are realized through the position correction mechanism. The position correcting mechanism is composed of a plurality of supporting leg assemblies, each supporting leg assembly comprises a supporting rod, a screw rod, an expansion nail and a limiting screw pipe, and it is ensured that equipment is stably placed under various installation face conditions. In addition, the cooling fan is linked with the temperature control switch, so that the internal temperature is effectively reduced, and the operation stability of equipment is improved. According to the invention, the purposes of improving the anti-interference performance of the equipment, enhancing the signal receiving capability and improving the heat dissipation effect are achieved.

The invention discloses an intelligent antenna switching circuit and method based on signal receiving strength, and a router, and relates to the technical field of intelligent antennae, and the circuit comprises a main control chip which receives feedback signals, forwarded by a radio frequency chip, of all antennas in an antenna module, calculates the receiving strength, and stores the calculation data in a storage module; the calculation data in the storage module is called and compared with feedback signals of all antennas in the antenna module, and a result signal is sent to the radio frequency chip; the radio frequency chip receives the feedback signal, transmits the feedback signal to the main control chip, and sends a control signal to the switch chip according to the result signal; the switch chip switches on one antenna channel according to the control signal. According to the method, the RF signal receiving strength of the double-path or multi-path antenna is calculated through the target function, the antenna channels are preferentially and automatically switched, so that the purpose of antenna signal performance optimization is achieved, the purposes of optimizing the signal quality, effectively suppressing interference and widening the communication coverage range are achieved, and the target function is simple, easy to calculate and implement and low in cost.

The present invention provides a real-time location tracking antenna configured to locate tags, the real-time location tracking antenna is a single locator switched lobe antenna for 2D positioning which at least comprises: at least three patch antenna elements in an antenna, means configured to set up at least three overlapping lobes in desired 2D FOV where the means is one of: i. one first controller including one phase shifter module ii. one second controller including one switching device. It is also disclosed a real-time location tracking antenna system for 3D positioning.

The invention relates to the technical field of wireless communication, in particular to an ad hoc network communication method and system based on an unmanned aerial vehicle cluster, and the method comprises the steps: firstly obtaining communication demand parameters of the unmanned aerial vehicle cluster, including spatial position information, channel state information and communication quality requirements, and generating a beam pattern optimization design scheme and a space-time joint coding scheme; according to the beam pattern optimization design scheme, an objective function is constructed, the number of array elements and phase parameters of a super-surface smart antenna array are determined, and a receiving beam pattern is generated, and according to the space-time joint coding scheme, the super-surface smart antenna array is adjusted to generate a plurality of transmitting beam patterns, phase difference modulation is performed, and space-time coding signals are formed. Compared with a traditional antenna, the antenna provided by the invention can improve the signal gain by 20%-30%, and effectively improves the communication efficiency and stability of the unmanned aerial vehicle cluster.

The application provides an active smart antenna, wherein a LAN amplification unit is in a distributed integrated structure; compared with a structure design of a distributed LAN amplification unit, the distributed integrated LAN amplification unit has simple wiring, good reliability, low cost, greatly shortened length of a radio frequency coaxial cable, reduced radio frequency loss, simple wiring, strong manufacturability, and low radio frequency heat loss, and does not need special heat dissipation devices, thereby facilitating product miniaturization and weight reduction of the active smart antenna; that is, the structure design of the distributed integrated LAN amplification unit in the application considers performance, reliability, manufacturability and cost of the active smart antenna.

The invention discloses an electric automobile vehicle-mounted antenna based on radar self-feedback, which comprises a radar sensing module, a self-feedback control module and an intelligent antenna array, and is characterized in that the output end of the radar sensing module is electrically connected with the input end of the self-feedback control module; the control end of the self-feedback control module is in communication connection with the adjusting end of the intelligent antenna array, and the state monitoring end of the intelligent antenna array is in bidirectional communication with the feedback input end of the self-feedback control module. The number of antennas of the whole vehicle is remarkably reduced through integrated design, and the vehicle body layout is simplified; the hardware cost is optimized through modular integration, and the overall system expenditure is reduced. The problem of electromagnetic compatibility of an existing vehicle-mounted antenna system is solved, an intelligent solution integrating environment perception, Internet of Vehicles communication and dynamic adjustment is provided for an electric vehicle through modular design, and the vehicle-mounted antenna system has extremely high engineering application value.

The present application belongs to the field of data recording carrier control and proposes a smart antenna control method and system for dense tag reading and writing. The method includes: a reader / writer device broadcasts a first activation instruction so that the tag device is activated according to the first activation instruction and feeds a feedback signal; the reader / writer device obtains the feedback signal to obtain the tag time domain information and tag space information of the corresponding tag device, and modulates the first activation instruction into a second activation instruction according to a selected modulation rule so that the tag device updates the feedback signal; the reader / writer device obtains the tag information of the corresponding tag device according to the change in the updated feedback signal; wherein the modulation rule includes at least one of a power modulation rule, a spatial modulation rule, and a time domain modulation rule. The first activation instruction is modulated according to the feedback signal triggered by the tag device, and the signal transmission frequency, position, signal transmission direction, or time domain control instruction of the reader / writer device is changed to update the feedback signal, thereby improving the accuracy of information reading by the reader / writer device.

The application discloses a kind of based on phased array antenna beam guidance method and system, belong to wireless communication and intelligent antenna control technical field.The method obtains array state information, terminal state information, pilot measurement information, environment perception information and historical guidance feedback information, constructs joint state vector;Based on the joint state vector, scene interaction graph is constructed, and interference risk representation quantity is obtained using graph neural network;Parallel rehearsal is carried out on candidate beam control action in digital twin environment, and link quality prediction result, beam mismatch risk prediction result and constraint feasibility prediction result are obtained;Target beam control action is generated using reinforcement learning guidance strategy model, and is corrected by safety constraint predictive control;According to the action after correction, phased array antenna forms target guidance beam, and according to real-time feedback, reinforcement learning guidance strategy model, graph neural network and digital twin environment parameters are updated online.The application can improve the accuracy, reliability, safety and self-adaptive ability of beam guidance in complex dynamic scene.

An example smart antenna mount may couple an antenna alignment device with an antenna. The smart antenna mount may include sensors such as strain gauges and accelerometers, and an electronic circuitry to communicate the measurements from the sensors. The measurements are received by the antenna alignment device, which may perform further operations to determine whether the coupling is within desired bounds. If within desired bounds, the antenna alignment device may generate an indication of a normal coupling, e.g., by activating a first colored (e.g., green) LED. If the coupling is outside the desired bounds, the antenna alignment device may indicate an alarm condition, e.g., activating a second colored (e.g., red) LED or generating an audible signal.

The present invention relates to a fixing tool for a broadcast board and an antenna testing device. The fixing tool for the broadcast board includes: a fixing member, a slide rail, a mounting bracket, and a first fastener. The fixing member is used to be fixedly installed on a pole. The slide rail is fixedly installed on the fixing member and is used to be arranged along the extending direction of the pole. The mounting bracket is used to mount the broadcast board, and the mounting bracket can adjust its position along the slide rail. The mounting bracket is fixedly installed on the slide rail through the first fastener. Compared with the traditional method of tying the broadcast board to the pole with a nylon rope, the broadcast board can be fixed quickly and safely, and the installation effect of the broadcast board is stable. In addition, since the mounting bracket can adjust its position along the slide rail, when the mounting bracket is adjusted to a preset position according to the length of the antenna under test, the mounting bracket is fixedly installed on the slide rail through the first fastener, and the connection terminal of the broadcast board can be adapted to be connected to the ports of antennas under test with different lengths, and the intelligent antenna index testing work can be carried out, and the operation is relatively convenient and fast.