4543 results about "Antenna array" patented technology

Techniques are provided for estimating an auto-correlation matrix for a transceiver that is coupled to a multi-antenna array. A different power sensor may measure the power of the signals received at a corresponding antenna of the multi-antenna array. The signals received at one antenna of each unique pair of antennas may be shifted in phase using a plurality (e.g., three) of different phase settings to generate a plurality of different shifted signals for each unique pair of antennas. Each of one or more power sensors, for each unique pair of antennas, may measure different combined powers based on the shifted signals and the RF signals received at the other antenna of the unique pair. A module may use the different combined powers with the power measured for each antenna to estimate the auto-correlation matrix.

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.

Systems and methods are provided for a digital beamformed phased array feed. The system may include a radome configured to allow electromagnetic waves to propagate; a multi-band software defined antenna array tile; a power and clock management subsystem configured to manage power and time of operation; a thermal management subsystem configured to dissipate heat generated by the multi-band software defined antenna array tile; and an enclosure assembly. The multi-band software defined antenna array tile may include a plurality of coupled dipole array antenna elements; a plurality of frequency converters; and a plurality of digital beamformers.

Systems and methods are provided for a digital beamformed phased array feed. The system may include a radome configured to allow electromagnetic waves to propagate; a multi-band software defined antenna array tile; a power and clock management subsystem configured to manage power and time of operation; a thermal management subsystem configured to dissipate heat generated by the multi-band software defined antenna array tile; and an enclosure assembly. The multi-band software defined antenna array tile may include a plurality of coupled dipole array antenna elements; a plurality of frequency converters; and a plurality of digital beamformers.

The invention provides a directional energy multi-target interference system based on an ultra-wideband phased array technology, and the system integrates signal perception, target recognition, interference signal generation and phased array control, so as to achieve the precise interference of an unmanned aerial vehicle cluster. The signal sensing module scans an airspace target through the ultra-wideband phased-array antenna array and obtains spectrum characteristics of a target signal. The target identification module analyzes signal features, identifies an individual target and predicts a motion track and a communication protocol of the individual target. And the phased array control module calculates and adjusts antenna beam forming parameters, and dynamically controls the radiation direction, phase and transmitting power of the antenna. The interference signal generation module generates a matched interference waveform based on the target communication protocol and the trajectory information. The ultra-wideband phased-array antenna array adopts a digital beam forming technology. According to the invention, efficient and accurate directional energy interference can be realized under multiple frequency bands, the confrontation capability of the unmanned aerial vehicle cluster is improved, and the method is suitable for defense tasks in electronic warfare and complex electromagnetic environments.

Systems and methods are provided for a digital beamformed phased array feed. The system may include a radome configured to allow electromagnetic waves to propagate; a multi-band software defined antenna array tile; a power and clock management subsystem configured to manage power and time of operation; a thermal management subsystem configured to dissipate heat generated by the multi-band software defined antenna array tile; and an enclosure assembly. The multi-band software defined antenna array tile may include a plurality of coupled dipole array antenna elements; a plurality of frequency converters; and a plurality of digital beamformers.

Systems and methods are provided for a digital beamformed phased array feed. The system may include a radome configured to allow electromagnetic waves to propagate; a multi-band software defined antenna array tile; a power and clock management subsystem configured to manage power and time of operation; a thermal management subsystem configured to dissipate heat generated by the multi-band software defined antenna array tile; and an enclosure assembly. The multi-band software defined antenna array tile may include a plurality of coupled dipole array antenna elements; a plurality of frequency converters; and a plurality of digital beamformers.

Systems and methods are provided for a digital beamformed phased array feed. The system may include a radome configured to allow electromagnetic waves to propagate; a multi-band software defined antenna array tile; a power and clock management subsystem configured to manage power and time of operation; a thermal management subsystem configured to dissipate heat generated by the multi-band software defined antenna array tile; and an enclosure assembly. The multi-band software defined antenna array tile may include a plurality of coupled dipole array antenna elements; a plurality of frequency converters; and a plurality of digital beamformers.

The invention provides a control method for optimizing operation of high-power short-pulse microwave equipment, and aims to improve the accuracy of microwave interference signals, the energy utilization efficiency and the system adaptability. The method comprises the following steps: firstly, acquiring position information, motion trail data, electromagnetic scattering characteristics and environmental electromagnetic parameters of a target object; and then, according to the target position prediction data, the electromagnetic scattering characteristics and the environmental electromagnetic parameters, generating a microwave pulse waveform control instruction. And controlling the phased-array antenna array to generate a directional microwave beam based on the control instruction and the target position prediction data. And collecting real-time response data of the target, dynamically updating the target motion trend prediction model according to the real-time response data, and recalculating microwave pulse signal parameters. And finally, according to the updated signal parameters and the target position prediction data, adjusting the transmitting power, the working time sequence and the beam direction of the phased-array antenna array so as to maintain the optimal interference effect, reduce unnecessary energy consumption and improve the stability and adaptability of the system.

Systems and methods are provided for a digital beamformed phased array feed. The system may include a radome configured to allow electromagnetic waves to propagate; a multi-band software defined antenna array tile; a power and clock management subsystem configured to manage power and time of operation; a thermal management subsystem configured to dissipate heat generated by the multi-band software defined antenna array tile; and an enclosure assembly. The multi-band software defined antenna array tile may include a plurality of coupled dipole array antenna elements; a plurality of frequency converters; and a plurality of digital beamformers.

Systems and methods are provided for a digital beamformed phased array feed. The system may include a radome configured to allow electromagnetic waves to propagate; a multi-band software defined antenna array tile; a power and clock management subsystem configured to manage power and time of operation; a thermal management subsystem configured to dissipate heat generated by the multi-band software defined antenna array tile; and an enclosure assembly. The multi-band software defined antenna array tile may include a plurality of coupled dipole array antenna elements; a plurality of frequency converters; and a plurality of digital beamformers.

The invention discloses a lineation robot control system based on a satellite positioning and orientation technology, which relates to the technical field of robot motion control and comprises a satellite positioning and orientation module, an inertial navigation module, a fusion positioning and orientation software module, a motor control software module, a motion control software module and a pattern planning software module. The satellite positioning and orientation module is used for acquiring latitude and longitude coordinates of the current position of the robot by receiving multi-frequency satellite signals; the inertial navigation module is used for collecting posture and motion data of the robot in real time through a gyroscope and an accelerometer. According to the lineation robot control system provided by the invention, through collaborative design of the multi-frequency-point GNSS receiver and the anti-multipath interference antenna array, centimeter-level continuous positioning capability in a complex urban environment is realized, and satellite signal reflection and shielding interference in scenes such as viaducts and avenues are effectively overcome; and satellite positioning and inertial navigation data are deeply fused through a tight coupling Kalman filtering algorithm.

The invention provides a satellite tracking method and device for a mechanical-electrical integration small planar phased-array antenna, and belongs to the technical field of satellite communication. The method comprises the following steps: starting and electrifying the small planar phased-array antenna and adjusting the small planar phased-array antenna into a preparation attitude; using the central array element to complete satellite searching to obtain ephemeris information; in the satellite and satellite top-crossing tracking stage, the expected beam direction is calculated, the beam direction is controlled in a beam forming and mechanical angle compensation combined mode, and satellite and satellite tracking operation is achieved; and the antenna receives the satellite switching instruction and adjusts the satellite switching instruction to a preparation attitude, and the next round of satellite tracking operation is carried out. According to the invention, mechanical angle compensation is carried out on the wave beam by adjusting the orientation of the antenna array surface, the satellite alignment and tracking performance of the antenna in a low satellite elevation scene is improved, and the consistency of terminal communication performance in the satellite top-crossing process is ensured.

The invention discloses an intelligent traceable hazardous waste management system based on RFID, particularly relates to the technical field of hazardous waste intelligent supervision, and is used for solving the problems of unreliable data acquisition, misreading and misreading and state updating delay caused by signal interference of an existing RFID system in a high-density hazardous waste storage scene. The method comprises the following steps: dynamically dividing warehouse sub-regions, distributing a unique grouping identification code, and combining a directional antenna array partition scanning technology to avoid signal crosstalk; by analyzing the multi-path phase fluctuation rate and the polarization direction offset, a main interference frequency band is dynamically identified by using a covariance decomposition algorithm, and the communication frequency is switched, so that the tag identification rate in a complex electromagnetic environment is improved; scheduling a target sub-region scanning process based on a warehouse-in and warehouse-out instruction, synchronously verifying a label state and an actual position, generating an operation link space-time atlas, actively tracing cross-region time logic contradictions and triggering full-disk scanning; and full-process accurate tracing of the hazardous waste container and complete data management and control in a high-density scene are realized.

A system may include multiple digital beamformer (DBF) circuits coupled to an analog front end that includes an antenna array. Each DBF circuit is coupled to a subset of the antenna elements of the array. Each DBF may be configured to adjust coefficients of complex multipliers to selectively enable and disable beams, antenna elements, transmit paths, receive paths, or any combination thereof to enable per-element calibration of the antenna array.

The invention provides an unmanned aerial vehicle group wide area suppression method and system based on multi-band frequency hopping interference. The method comprises the following steps: analyzing a frequency hopping rule and an encryption feature of a communication link of a target unmanned aerial vehicle group, and constructing a protocol feature library containing a multi-band frequency hopping sequence; deploying a directional focusing antenna array, and generating a directional interference energy signal covering a multi-band frequency hopping channel of the hotspot area of the unmanned aerial vehicle group; based on the encryption features and the frequency hopping sequence in the protocol feature library, performing parameter setting and subcarrier modulation adaptation on a preset interference signal, generating an adjustable interference signal, and converting the adjustable interference signal into an interference injection signal; extracting a time distribution rule of the frequency hopping sequence, dynamically and cooperatively adjusting an injection frequency band of interference energy and a signal, and generating a frequency band coordination strategy; and performing multi-band dynamic distribution on the interference energy and the signal to generate a wide-area suppression signal. According to the technical scheme provided by the invention, the blocking efficiency of unmanned aerial vehicle group cooperative control in a complex electromagnetic environment is improved.

Access control system (1) for buildings (2) with a stationary unit (20) and a mobile unit (10), wherein the mobile unit (10) has a mobile transceiver (11) which is designed to wirelessly and encryptedly transmit signals (S) for authentication and authorization of the mobile unit (10) with respect to the stationary unit (20) and for control of the stationary unit (20) by the mobile unit (10) to a stationary transceiver (21) of the stationary unit (20), which has a first antenna array (23A) and a second antenna array (23B), wherein the stationary unit (20) comprises a control device (22) which is designed to determine from a signal (S) transmitted from the mobile transceiver (11) to the stationary transceiver (21) and at least partially received by the first antenna array (23A) two positions (P10, P11) of the mobile unit (10) relative to the stationary unit (20), of which a first is an actual position (P10) and a second is a first mirrored position (P11), and to determine from the signal (S) transmitted from the mobile transceiver (11) to the stationary transceiver (21) and at least partially received by the second antenna array (23B) two positions (P10, P12) of the mobile unit (10) relative to the stationary unit (20), of which a first is an actual position (P10) and a second is a second mirrored position (P12), and wherein the control device (22) is designed to compare the two positions (P10, P11) determined by means of the first antenna array (23A) with the two positions (P10, P12) determined by means of the second antenna array (23B) and to verify the matching position as the actual position (P10).

The invention discloses a human body posture reconstruction and tracking method based on a neural network, and relates to the technical field of posture reconstruction and tracking. Target echo data are acquired by adopting a multiple-input multiple-output (MIMO) antenna array, and a low-resolution three-dimensional radar image is constructed by adopting space-time weighting in combination with wavelet transform noise reduction and self-adaptive gain compensation; in the feature extraction stage, a Transform-based feature extraction network is introduced, short-distance joint details are processed in combination with a local convolutional neural network (CNN), the spatial correlation of a far-end joint is calculated by adopting a global self-attention mechanism, and a global feature enhancement (GFE) module performs feature completion on a low-confidence region; a hybrid memory network HMN is adopted to carry out short-time and long-time information fusion, a short-time memory unit STM is used to store current frame features, a long-time memory unit LTM is used to store historical key point data, a drift error is corrected in combination with time sequence alignment, and time sequence consistency of attitude estimation is guaranteed.

The present invention relates to the technical field of artificial intelligence for antenna array deployment, in particular to an intelligent arrangement method for array antenna elements and a clustering epigenetic optimization method. The intelligent arrangement method for array antenna elements comprises: performing encoding for a J_K array, and initializing an epigenetic algorithm so as to generate J+K genes. The present invention uses a clustering algorithm in machine learning to divide a population into sub-populations having different characteristics. Adaptive learning is performed on a portion of individuals in each type, and an epigenetics-based inheritance operation is performed on the basis of the fitness probability of population individuals. Then, minor random mutation operations are performed to generate a new sub-population. Algorithm hyperparameters such as population size and mutation probability participate in the evolution of individual genes, and adaptively change on the basis of evolutionary states. The invention solves the problems of low convergence speed and poor obtained results in optimization processes of current L-shaped array antenna system arrangement algorithms.

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

The invention discloses a 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 discloses a dynamic beam adaptive optimization method for the Internet of Vehicles, and the method comprises the steps: firstly obtaining the current position, speed and driving direction of a vehicle, and carrying out the prediction of a future trajectory through combining historical trajectory information and employing a Kalman filtering technology and the like; and selecting a candidate beam direction from the predefined beam codebook. The system receives channel quality feedback information of a communication link in real time, and dynamically updates a beam forming weight based on an improved recursive least square algorithm. According to the algorithm, a composite adaptive adjustment mechanism of an error size and an error change trend is introduced, a multi-objective optimization function is constructed, and performance indexes such as link quality maximization, interference power minimization and beam switching frequency minimization are effectively balanced in a dynamic environment, so that an optimal beam direction is obtained. Finally, the real-time switching of the antenna array beams is realized through a low-overhead and low-delay control protocol. According to the method, track perception and a self-adaptive feedback mechanism are fused, and good real-time performance, stability and expandability are achieved.

The invention relates to a method for reducing the effects of noise suppression on the measurement of the phases of satellite navigation signals at the point of their reception, wherein, in the method, a one-dimensional or multi-dimensional antenna array is provided with multiple reception antennas, satellite navigation signals received by the reception antennas are processed in a signal processing unit, the received satellite navigation signals undergo noise suppression in the signal processing unit by means of a spatial filter, i.e., by means of spatial filtering, for example by a power inversion (PI) filter or a projection filter, and after the noise suppression by means of the signal processing unit, the carrier phase of at least one or each satellite navigation signal is determined and is corrected by calculating parameters of one or more eigenbeamformers.

A sensor device comprises an advanced antenna array radar transceiver configured to measure motion of the sensor device relative to an external surface in a reference frame of the sensor device and provide corresponding radar data, and an inertial measurement unit, IMU, configured to measure motion of the sensor device in a reference frame of the sensor device and provide corresponding IMU data. The advanced antenna array radar transceiver and the IMU are fixedly mounted relative each other. Processing circuitry is configured to determine an orientation of the sensor device relative an inertial reference frame (e.g., in terms of one or more Euler angle(s)) based on joint processing of the radar data and the IMU data.

The application discloses a thunderstorm monitoring device and path planning method of unmanned aerial vehicle based on electric field and magnetic field detection. The device comprises a quadrature magnetic antenna array, a vertical differential electric field sensor, a signal processing module, a positioning algorithm module, a distance estimation module, an autonomous decision module, a GNSS module and an inertial measurement module. The quadrature magnetic antenna array is composed of two orthogonally arranged magnetic antennas, which are at a 45° angle with the flight direction of the unmanned aerial vehicle, and is used for receiving the horizontal magnetic field signal of lightning radiation. The vertical differential electric field sensor comprises two groups of upper and lower electrode plates and measures the differential value of the vertical electric field intensity. Through the cooperative measurement of the magnetic antenna array and the electric field sensor, the lightning azimuth (θ) is calculated by combining the magnetic field intensity ratio, and the quadrant is corrected by using the electric field polarity. Based on the magnetic field amplitude attenuation model and the waveform rise time correction factor, a distance estimation model is constructed. The autonomous decision module generates an approach path or an obstacle avoidance path according to the lightning azimuth and distance, and drives the flight control system to adjust the heading.

An antenna apparatus includes an antenna substrate with opposite first and second surfaces; and a PCB having opposite first and second surfaces. Antenna elements are disposed at the first surface of the antenna substrate. Electrically conductive columns, each having a first end attached to the second surface of the PCB and a second end attached to the second surface of the antenna substrate, secure the PCB to the antenna substrate and provide an electrical interconnect between the PCB and the antenna substrate. RFIC chips are each attached to the second surface of the antenna substrate and are coupled to the antenna elements. At least one circuit element is attached to the first surface of the PCB and electrically coupled to at least one of the RFIC chips through at least one of the electrically conductive columns.

An electronic device may be mounted to a main body of a removable case. The case includes a cover that rotates between open and closed positions. The device may convey wireless data and / or a control signal with the removable case over radio-frequency connectors, near-field communications (NFC) coils, connector electrodes, and / or wired data connectors. The removable case may relay the wireless data between the electronic device and a communications satellite in space. The case may include a phased antenna array in the cover. In the open position, the cover may point the phased antenna array towards the sky. The removable case may include beamforming circuitry in the cover and coupled to the phased antenna array. The control signal may control the beamforming circuitry to produce, using the phased antenna array, a signal beam oriented towards the communications satellite.

The invention provides an animal target detection system and method based on airborne radar and intelligent identification, and belongs to the technical field of radar detection. The system comprises an unmanned aerial vehicle, an antenna array fused with a fuselage of the unmanned aerial vehicle, and a radar host. The radar host comprises a signal processing unit; the antenna array is designed to be of a deformable structure and can be attached to the surface of a fuselage of the unmanned aerial vehicle. The antenna array is used for sending a radio frequency signal of a terahertz frequency band to a target area under the control of the system and receiving an echo signal reflected by an obstacle; and the signal processing unit is used for receiving the echo signals, extracting multi-dimensional features from the echo signals by using a spatio-temporal feature extraction network based on an attention mechanism, and classifying the multi-dimensional features through a deep reinforcement learning algorithm to obtain animal categories. The airborne radar detection method is light in weight and low in cost, the efficiency and precision of biodiversity observation can be improved, and the monitoring cost is greatly reduced.

The invention relates to the technical field of wireless communication, in particular to an intelligent beam forming system and method for millimeter wave communication, and the system comprises a sensing module which is used for collecting multi-direction signal data in a millimeter wave communication environment and extracting environment feature information, and an intelligent decision module which generates a beam direction control strategy based on a deep reinforcement learning algorithm, the sub-region management module divides a communication region into a plurality of sub-regions according to a beam direction control strategy and allocates communication resources to each sub-region, and the beam control module adjusts the beam direction and power allocation of the antenna array according to the beam direction control strategy and the communication resource allocation result of the sub-regions. The feedback evaluation module obtains communication quality data after beam adjustment and generates a performance evaluation result, and the learning optimization module updates network parameters of a deep reinforcement learning algorithm according to the performance evaluation result and improves the environment adaptive capability.

The present invention relates to the field of array antenna design, and to a multi-port array antenna layout detection method, including: obtaining layout information of the array antenna; selecting any port of the array antenna as a target port, exciting the target port and detecting the response of each port of the array antenna under the excitation, constructing a linear equation system based on the response of each port of the array antenna under the excitation, and obtaining the scattering parameters of the target port; extracting the coefficient characteristics of the linear equation system and constructing a preconditioning operator based on the coefficient characteristics; calculating the scattering parameters of the ports in the antenna array except the target port according to the preconditioning operator; determining the isolation between the ports of the array antenna according to the scattering parameters of each port of the array antenna, and judging whether the array antenna layout design meets the standard according to the isolation between the ports of the array antenna, and obtaining the array antenna layout detection result. The present invention can improve the detection efficiency of the multi-port isolation of a large-scale array antenna.