43 results about "Smart antenna" patented technology

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.

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.

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.

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 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 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.

A smart antenna system is configured to generate an initial weight set from an indication of desired azimuth and elevation steering angle and from an indication of frequency, to generate a plurality of further weight sets from the initial weight set, the further weight sets each being for the same azimuth and elevation steering angle, and for the initial weight set and for each of the plurality of further weight sets, generating a respective quantised wight set and generating an indication of side lobe level for each respective quantised weight set. A weight set is selected from the generated quantised weight sets for application to an antenna array on the basis of the indications of side lobe level.

This invention discloses a smart antenna array structure based on integrated power supply, control, and communication, comprising: a radio frequency (RF) power divider network; the RF power divider network divides the RF signal into multiple paths, feeding each RF signal into a coupler, which further divides the RF signal according to the coupling coefficient; the output of the coupler outputs a first RF signal, which is fed into the antenna link; the coupling end of the coupler outputs a second RF signal, which is fed into a passive on-chip system. In terms of power supply, the antenna utilizes the rectified RF signal to power the low-power antenna link; in terms of control, it uses a communication protocol to network-control the RF unit, completing functions such as beam control and shaping; in terms of communication, it implements a communication protocol and integrates communication sensing.

The invention relates to the technical field of antenna simulation testing, in particular to a multi-band 5G intelligent antenna simulation testing fixing system and a positioning method thereof.The multi-band 5G intelligent antenna simulation testing fixing system comprises a rack, an auxiliary shaft is rotationally arranged on the rack, a rotary table rotationally arranged on the rack is arranged at the top of the auxiliary shaft, and a main shaft is rotationally arranged on the rack; the main shaft and the auxiliary shaft are matched through a first linkage mechanism, the main shaft can drive the auxiliary shaft to rotate when rotating clockwise, the auxiliary shaft is kept static when the main shaft rotates anticlockwise, a brake disc is arranged at the top of the first driven gear, a friction block is arranged above the brake disc, and the main shaft and the friction block are matched through a second linkage mechanism. When the main shaft rotates anticlockwise, the friction block is driven to linearly move up and down, when the main shaft rotates clockwise, the friction block is kept static, the driving function and the locking function can be efficiently integrated, the response is rapid, and the stability of the 5G intelligent antenna after positioning during testing can be fundamentally ensured.

The invention relates to the technical field of WLAN (Wireless Local Area Network), in particular to a WLAN intelligent antenna system and a data transmission method, comprising the following steps: a channel fingerprint analysis decoupling module realizes deep analysis of a complex channel environment through a reconfigurable probe array and a subspace projection algorithm, and provides comprehensive channel feature information for the subsequent process; the dynamic beam configuration optimization module uses a spatial correlation matrix analysis and iterative optimization algorithm to solve an optimal beam configuration and realize regulation and control of an antenna excitation phase; the beam pre-alignment analysis module fuses terminal IMU sensor data and utilizes a Kalman filter to pre-judge the position change of a user and provide a reliable compensation value basis; and the wave beam dynamic regulation and control processing module generates an antenna control time sequence table through decoding analysis, sends out a driving signal, and quickly responds to real-time angle feedback at the same time.

The utility model relates to the field of television station engineering, and discloses a radio and television engineering intelligent antenna supporting structure which comprises a base, the top end of the base is fixedly connected with a supporting round block, the inside of the supporting round block is fixedly connected with a stretching mechanism, and the top of the base is fixedly connected with a buffering mechanism. The stretching mechanism comprises a motor, the exterior of the motor is fixedly connected to the interior of the supporting round block, the driving end of the motor is fixedly connected with a guiding round plate, a round plate is fixedly connected to the inner wall of the bottom of the base, long-strip-shaped grooves are formed in the four corners of the top of the round plate, and sliding plates are slidably connected to the inner walls of the long-strip-shaped grooves. According to the utility model, by connecting the expansion board, the supporting effect of the expansion board on the whole structure is further enhanced. The cross-shaped sliding groove provides a sliding track for the sliding block, it is guaranteed that the expansion board is effectively supported in the sliding process, and therefore the stability of the antenna supporting structure in the long-term using process is guaranteed.

The application provides a wave-absorbing and wave-transmitting integrated metamaterial structure with a dynamic switchable wave-transmitting window, and belongs to the technical field of novel artificial electromagnetic materials. The metamaterial structure is composed of metamaterial structure units arranged periodically. The unit period of the metamaterial structure unit is 15.0 mm. The metamaterial structure unit comprises a double-layer spiral chiral superunit, a patch mesh complementary structure, a dielectric substrate layer, a carbon-based resistance film and a PIN diode. The metal structure layer comprises a chiral wave-absorbing layer and an active wave-transmitting layer. The dielectric substrate layer is provided with multiple dielectric substrate layers. The chiral wave-absorbing layer and the active wave-transmitting layer are arranged on different dielectric substrate layers from top to bottom. The carbon-based resistance film is printed in the gap of the chiral wave-absorbing layer. The PIN diode is printed in the gap of the active wave-transmitting layer. The application can realize dynamic switching of the wave-transmitting window in the 7-9.6 GHz wave band and realize efficient absorption in the out-of-band frequency bands of 3-6 GHz and 11-21 GHz. The application effectively solves the problems of wave-absorbing, wave-transmitting compatible design, wideband wave-transmitting window dynamic switching and the like. The application is compatible with electromagnetic and mechanical bearing functions and can be applied to a multifunctional electromagnetic integrated system and an intelligent antenna cover system.

The invention relates to the technical field of mobile communication, and discloses a beam switching device and an antenna. The beam switching device comprises a supporting medium and a metasurface structure. The supporting medium is used for being movably arranged above the antenna array. The metasurface structure is connected with the supporting medium, and the supporting medium can drive the metasurface structure to move to the position opposite to the antenna array in the vertical direction or the position completely staggered from the antenna array in the vertical direction. According to the beam switching device and the antenna, the antenna array can be switched among various beams in a mode that the supporting medium drives the metasurface structure to move and adjust the position, so that the beam switching device and the antenna can adapt to different service scenes. Moreover, compared with a multi-beam antenna and an intelligent antenna, the antenna array only comprises one column of radiation units to achieve the effect of variable beams, and does not need to configure two or more columns of radiation units to change the beams, so that the product is small in size and lower in cost.

Aspects and features of this disclosure use an RFID tag or other transponder embedded in an RFID antenna to provide a smart RFID antenna. The smart antenna can have a unique identity, at least in its system environment, and the identity can be readable by the RFID reader through a large insertion loss, providing the reader with the capability to accurately detect the antenna. A method of detecting a smart RFID antenna includes applying a transmit signal at a configured power level, and selectively increasing the configured power level of the transmit signal until detection. In some examples, the process also includes storing location and other useful information for the RFID antenna. In some examples, any or all of this location or other information can be written to a memory in the RFID antenna in addition to a database in the system.

An intelligent antenna module for a vehicle is proposed, in which a plurality of cellular antennas are mounted in a non-ground region and spaced apart from a ground pattern to minimize mutual interference. In the proposed intelligent antenna module for a vehicle, a first antenna is disposed in a ground region of a bottom substrate, cellular antennas are disposed in a non-ground region of the bottom substrate, and the cellular antennas are electrically connected to a ground region of a lower surface of the bottom substrate.

This application discloses an adaptive smart antenna, a distributed remote radio unit (RRU), and a wireless communication system, relating to the field of antenna technology. It can expand the overlap area between RRUs, improving capacity and data transmission rate while ensuring a certain backward coverage area of ​​the RRUs, thereby enhancing the user experience at the edge. In this application, the RRU controls multiple diodes in the directional unit according to control signals from the baseband unit (BBU) to control the coupling state of the directional unit, flexibly switching the RRU antenna beams and selecting the optimal beam combination. This includes a combination of omnidirectional radiation patterns and directional radiation patterns that meet a preset range, expanding the overlap area between RRUs, improving capacity and data transmission rate while ensuring a certain backward coverage area of ​​the RRUs, thus enhancing the user experience at the edge.

Techniques are described for an antenna (e.g., an over the air (OTA) antenna) to be intelligently configured so as to adjust itself according to dynamic parameters, such as weather changes. Mechanisms are described that enable the end user to set preferences data (e.g., preferred channels) so that the OTA antenna automatically adjusts its placement to satisfy these preferences (e.g., to catch some preferred channels and with the highest quality available). Also described are techniques that include artificial intelligence (AI) and / or machine learning (ML) for learning the end user's patterns (e.g., patterns of viewership) and, subsequently, automatically adjusting the OTA antenna's position in accordance with the learned patterns. For example, the system may steer the OTA antenna to catch the best signal strength of a favorite channel of an end user, so that the end user can watch that channel with the highest quality, without any hassles, and at any time.

The application discloses a compact high-gain passive multi-frequency intelligent fusion antenna array layout, in which FDD multi-frequency antenna array and TDD intelligent antenna array adopt an up-down layout, and through a dual-frequency combiner and an ultra-wide frequency dipole, the FDD multi-frequency array and the TDD intelligent antenna array share radiation units at the joint, so that the length of the antenna is shortened while the gain of the FDD multi-frequency array and the TDD intelligent antenna array is basically kept unchanged. The application can be used alone to shorten the length of the fusion antenna and improve the gain, and can also be combined with other methods to further shorten the length of the antenna or improve the gain of the FDD multi-frequency array and the TDD intelligent antenna array.

The invention discloses a sparse antenna array synthesis method based on kernel density estimation, which belongs to the technical field of intelligent antenna design, is used for sparse antenna array synthesis, and comprises the following steps: based on a sparse antenna array, obtaining an active unit directional diagram under different array element position distribution through full-wave electromagnetic simulation to form an initial data set; modeling distribution of active unit directional diagrams in the initial data set by using a kernel density estimation method, and setting a threshold value to divide the training data set into a sparse subset and a dense subset; the method comprises the following steps: constructing two sub-networks with completely consistent structures, training based on a sparse subset and a dense subset, and setting different weight loss functions; the method identifies and focuses on the data sparse region through kernel density estimation, and effectively improves the fitting ability and prediction generalization performance of the model in the data sparse region in combination with weighted loss and curriculum learning, so that the training process is more stable and better in convergence.

This invention discloses a multimodal terminal antenna intelligent scheduling system, method, and terminal with AI scene recognition. The system includes: a multimodal perception module for collecting perception data from four layers: radio frequency, attitude, application, and positioning; an AI scene recognition module for identifying the current scene of the terminal through an AI model; an intelligent antenna scheduling engine for calling preset antenna scheduling strategies according to the scene; and an antenna hardware execution layer for executing the strategy and configuring radio frequency hardware. The method integrates multi-dimensional information to enable the terminal to "understand" that it is in a specific scene such as a call, game, or weak field, and dynamically matches the optimal antenna configuration. For example, it avoids obstructed antennas during calls, switches to unobstructed antennas and tunes in real time during games, and enables high-gain antennas and uplink beam pre-switching in weak fields. This invention solves the problems of slow response, mis-switching, and inability to deeply optimize traditional antenna scheduling that relies solely on signal strength switching, and achieves adaptive improvement of terminal antenna performance and energy efficiency.

A single-feed smart antenna includes an antenna board with several antennas embedded within it, forming an overlapping area between adjacent antennas. A controller is fixed externally to the antenna board, with an antenna interface on one side electrically connected to each of the antennas and a reader / writer interface on the other side. Several antenna slots are formed within the antenna board's identification plane, and antennas are installed within these slots, forming a common area between adjacent slots, which are interconnected. The shape of the antenna slots matches the antenna structure, being rectangular in shape but not forming a closed loop. Several PCB board slots are formed within the antenna board, each located within the rectangular plane enclosed by the antenna slots, with both ends of each antenna slot opening into the PCB board slot. PCB boards are installed within the PCB board slots, and the two ends of each antenna are connected to the corresponding PCB board. This invention has the advantage of eliminating antenna identification blind spots.

The invention discloses a WLAN intelligent antenna tuning system and method based on channel state perception, and relates to the technical field of monitoring analysis, and the method comprises the steps: collecting the global channel state information of a channel where a target terminal is located, obtaining the global channel state data, carrying out the multi-dimensional feature analysis based on the global channel state data, and generating a multi-dimensional channel feature model; performing channel fading mechanism reduction on the multi-dimensional channel characteristic model to obtain channel fading mechanism data, performing beam forming performance prediction based on the channel fading mechanism data and the global channel state data to obtain antenna beam performance prediction data, performing antenna pattern gain difference calculation on the antenna beam performance prediction data to obtain antenna beam performance prediction data, and performing antenna pattern gain difference calculation on the antenna beam performance prediction data. Obtaining directional diagram gain difference data; carrying out local performance grade endowing on the multi-dimensional channel characteristic model to obtain an antenna unit local performance grade; and performing tuning processing on the WLAN intelligent antenna, and determining an antenna tuning control strategy. The method has the effect of improving the tuning efficiency.