27670results about "Radio transmission" patented technology

The invention discloses a multi-hop communication node intelligent scheduling method and system, and relates to the technical field of communication networks. The method is used for solving the scheduling and switching problems of multi-hop relay nodes in disaster emergency communication. Residual energy, channel fading parameters and link load data of an unmanned aerial vehicle and a ground terminal are collected, a communication potential index is calculated in combination with dynamic weight fusion, and the relay capability of a node in a complex environment is accurately evaluated. A relay node selection threshold is set according to the disaster type, nodes with communication potential indexes higher than the disaster adaptation threshold are preferentially selected, an initial hybrid topology structure with preferential survivability is constructed, and the network stability and survivability are improved. An autonomous game agent model is adopted, a multi-target reward function is designed based on local channel quality, residual energy and task emergency degree, it is ensured that the network achieves collaborative optimization of energy consumption balance, transmission real-time performance and survivability under the condition of dynamic topology and node failure, and efficient and continuous optimization of the disaster emergency communication network is achieved.

The disclosed technology is generally directed to a method for controlling a satellite system comprising at least one satellite. The method may include receiving and processing a set of control parameters associated with an orientation of the at least one satellite via a classic control model to generate a set of actions to control the orientation of the at least one satellite and storing the set of actions as data in a buffer. The processing and storing are iteratively repeated until the data stored in the buffer exceeds a threshold. When the data stored in the buffer exceeds the threshold, the method may further include iteratively implementing, based on each of the set of control parameters and the data stored in the buffer, the machine learning model to control the orientation of the at least one satellite to stabilize the at least one satellite.

The invention relates to the technical field of artificial intelligence rescue, and discloses an unmanned aerial vehicle and robot dog rescue emergency system and method, and the system comprises an unmanned aerial vehicle cluster module which is used for air data collection, communication guarantee and emergency material distribution; the robot dog cluster module is used for ground environment detection, sample collection and special task execution; the communication cooperation module is used for ensuring information intercommunication and task cooperation between air-ground equipment; the central control module provides task instructions for the unmanned aerial vehicle cluster and the robot dog cluster; the human-computer interaction interface module is used for realizing effective communication between rescue workers and the system; the modules work cooperatively, multi-source data acquisition, three-dimensional scene reconstruction, semantic segmentation, risk assessment, fire spreading prediction and decision support information generation of a disaster site are realized, and a reliable basis is provided for rescue command decision.

The invention relates to the technical field of aviation communication, and discloses a true north calibration system and method for an aviation airborne laser communication equipment alignment system, and the method comprises the steps: synchronously collecting flight data through an IMU sensor and a double-antenna GPS at a preset sampling frequency, and outputting the real-time attitude angle information of an aircraft through an IMU; filtering and de-noising the synchronously acquired IMU and double-antenna GPS data, and carrying out noise suppression and deviation compensation on accelerometer and gyroscope data output by the IMU by adopting a Kalman filtering algorithm; based on the preprocessed sensor data, calculating an initial course angle by measuring relative position change and phase difference between antennas by using a double-antenna GPS (Global Positioning System); the calibration controller transmits the calculated true north direction information to an alignment system of the laser communication equipment in real time through a communication interface; and the attitude change and external environment disturbance of the aircraft are continuously monitored in the whole flight process. The method has the advantage that the alignment performance and the communication stability of the laser communication equipment are improved.

The invention discloses a pilot optimization method for large-scale MIMO channel estimation based on structural compressed sensing. The method comprises the steps of establishing a channel estimation model for a large-scale MIMO-OFDM (Multiple-Input-Multiple-Output-Orthogonal Frequency Division Multiplexing) system when pilots are placed in an overlapping mode; simplifying the channel estimation model for the large-scale MIMO-OFDM system, thereby enabling the channel estimation model to correspond to a structural compressed sensing model; and obtaining an optimum pilot matrix through utilization of a pilot optimization algorithm. Through adoption of the optimum pilot matrix, according to the channel estimation of the large-scale MIMO system based on structural compressed sensing, the mean square errors MSEs of the channel estimation are clearly reduced, and the channel estimation performance is improved.

The invention relates to the technical field of satellite communication, in particular to a high-orbit and low-orbit satellite communication resource scheduling method and system, which collects real-time state information of high-orbit and low-orbit satellites, performs digital simulation of a satellite network based on the real-time information, constructs a satellite network management model and predicts satellite trajectory change. The method comprises the following steps: performing multi-dimensional evaluation on a satellite network management model by using a pre-constructed network evaluation framework, generating cross-orbit link evaluation information, analyzing parameters such as link quality and bandwidth, obtaining current service demand information, analyzing a communication resource allocation strategy in combination with a cross-orbit link evaluation result, and formulating a resource scheduling strategy according to strategy analysis. And a high-orbit and low-orbit satellite communication network is constructed through execution of a hierarchical network management mechanism and a cross-orbit data transmission protocol.

The invention discloses a signal enhancement method and device based on a microwave technology, and relates to the technical field of signal processing. The method comprises the following steps: acquiring an original microwave signal, sampling the original signal to obtain a discrete signal, performing spectral analysis on the obtained discrete signal, and extracting a frequency characteristic parameter of the signal; calculating microwave energy information according to the discrete signals, monitoring the characteristic change condition in real time, setting an adaptive filter, and performing multipath signal enhancement processing by using the adaptive filter according to the extracted frequency characteristic parameters, the energy information and the characteristic change condition monitored in real time; performing inverse fast Fourier transform on the enhanced signal, and converting the enhanced signal from the frequency domain to the time domain to obtain an enhanced time domain signal; and introducing a signal quality evaluation index, and performing quality evaluation on the enhanced time domain signal. According to the invention, the signal purity and intensity can be effectively improved, the bit error rate is reduced, and the accuracy and stability of microwave signal transmission are remarkably improved.

The invention relates to the technical field of communication, in particular to an airborne Tiantong phased-array antenna and an application method thereof. According to the method, phased-array antenna beams are driven to perform electronic scanning according to a geometric azimuth angle, beacon signal blind acquisition is performed in a preset airspace in a wide beam mode, and when an initial signal is detected, the mode is immediately switched to a narrow beam scanning mode; dynamically adjusting a phase weighting coefficient to realize pointing adjustment, so that a signal quality parameter is continuously converged in an optimal threshold interval; carrying aircraft maneuvering acceleration feedback is introduced, beam pointing offset is dynamically compensated based on a pre-constructed interference feature library, and signal fluctuation caused by a multipath effect is suppressed; and continuously checking a data validity flag bit of the main inertial navigation system, seamlessly switching to an antenna built-in inertial navigation data stream when a failure threshold is triggered, and activating a rapid recapture program to maintain zero interruption of a communication link. Through dual-source inertial navigation data fusion and intelligent beam control, rapid and accurate tracking of Tiantong satellites in an airborne environment is realized.

The invention discloses a spaceborne interference source Doppler observation strategy optimization method, which comprises the following steps: acquiring an original radio frequency signal and satellite orbit data, predicting mutation characteristics in Doppler data, and generating a self-adaptive observation scheme; according to the self-adaptive observation scheme, energy-aware resource scheduling is carried out, observation is executed, and enhanced Doppler observation data is obtained; and carrying out positioning calculation and performance evaluation based on the enhanced Doppler observation data, and generating parameters for iteratively optimizing an observation strategy. According to the invention, intelligent matching of the observation resource and the signal information content is realized, and the resource utilization efficiency, the key event capturing capability and the final positioning precision are improved.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may identify a transmission configuration indicator (TCI) state. The UE may determine that the TCI state is a semi-known TCI-state based at least in part on a known TCI state condition not being satisfied and a TCI state prediction condition being satisfied. The UE may apply a TCI state switching delay timeline that is associated with semi-known TCI states. Numerous other aspects are described.

The invention discloses a bidirectional short message communication method used in a network-free scene, relates to the technical field of communication, and is used for solving the problem of poor communication in a network disconnection scene. Through multi-source environment perception and link state fusion modeling, real-time evaluation of communication environment accessibility is realized, the stability of a public network link is dynamically judged, and support is provided for channel switching; a scheduling scoring model is constructed in combination with a link state and task characteristics, so that the terminal preferentially transmits a high-emergency and high-adaptation task under a link limited condition, and the resource utilization efficiency is improved; a multi-time-scale risk integral mechanism is introduced, the recognition capability of sudden states such as falling, static and air pressure sudden change is improved, an emergency short message is automatically generated without human intervention, and quick uploading of SOS information and position is realized, so that the stability, safety and adaptability of communication in a network-free scene are improved.

The invention provides a coast defense monitoring system based on unmanned aerial vehicle group collaboration and an application method thereof, and relates to the technical field of coast defense monitoring, and the coast defense monitoring system integrates air unmanned aerial vehicles, water surface unmanned ships and underwater unmanned ships, constructs a four-dimensional collaborative monitoring network, and combines a frequency domain resonance superposition technology and real-time analysis of marine environment variables. A dynamic three-dimensional environment model is generated, threat prediction of a time dimension is realized, multi-source sensor data can be fused in real time, a complete space contour of a target is formed, threat distribution in several hours in the future is predicted through environment change, for example, unmanned aerial vehicle deployment is adjusted in advance to cope with illegal border crossing behaviors in storms, and the risk of threatening is reduced. Quantum entanglement communication and acousto-optic hybrid communication ensure the stability and security of data transmission, and support millisecond response. According to the effect, the real-time performance and foresight of coast defense monitoring are remarkably improved, so that the system not only can quickly cope with current threats, but also can actively prevent potential risks.

The invention discloses a low-orbit satellite beam resource allocation method based on deep reinforcement learning, and the method comprises the steps: firstly building a satellite system model according to a low-orbit satellite system hopping beam scene, obtaining the communication traffic demand and geographic position of a ground user through a satellite traffic monitoring facility, and carrying out the preprocessing; secondly, carrying out user clustering on information of communication traffic demands of ground users, and dividing a ground cell into a hot spot area and a non-hot spot area; and then based on a satellite system model, establishing an optimization problem of multi-beam resource allocation and control, adopting a deep reinforcement learning method, dynamically adjusting a beam resource allocation strategy, allocating narrow beam resources to a hot spot area, and allocating wide beam resources to a non-hot spot area to realize system throughput maximization and user fairness. According to the method, the resource allocation problem in the low-orbit satellite hopping beam scene is effectively solved, and the throughput of a satellite system is improved while the user fairness is ensured.

The invention discloses a secret communication system of an unmanned aerial vehicle, which relates to the technical field of secret communication of the unmanned aerial vehicle and comprises a secret key generation and distributed storage unit, a dynamic secret key updating unit, a secret key destruction and tracing unit, a multi-band sensing and interference identification unit and a combined regulation and control unit. A dynamic key is generated through a chaos algorithm, and the security of the key is ensured in combination with block chain fragmentation storage and GPS binding encryption; updating the key according to the risk level, and transmitting the fragments by using an anti-quantum channel; after the communication is finished, the secret key fragments are invalidated, and anomaly detection and traceability are realized; scanning a multi-band frequency spectrum in real time, identifying an interference type and optimizing the model; and according to the interference intensity and the energy efficiency demand, dynamically switching the frequency bands, adjusting the power and enhancing the anti-interception capability. The problems that an existing unmanned aerial vehicle communication system is insufficient in safety, weak in anti-interference capacity, incomplete in key management mechanism and the like are effectively solved, and the safety, the anti-interference performance and the energy efficiency performance of unmanned aerial vehicle communication are remarkably improved.

The invention provides a low-orbit satellite resource allocation method and device based on beam and frequency domain collaborative optimization, and the method comprises the steps: dividing the overall bandwidth of a user region into a central sub-band and an edge sub-band through employing a dynamic soft frequency reuse scheme; all ground users are subjected to spatial clustering according to geographic positions and traffic demands, coverage cells are dynamically divided according to clustering results, and balanced service is achieved; on the basis of dynamic cell division, user clusters with high service volume are selected according to priorities, a beam activation set is generated, and a hopping beam matrix is updated; establishing a channel model between a user and a beam and a switching matrix between satellites; constructing a system utility target, and constructing a multi-target optimization problem model by taking the system utility target as a main part and integrating interference, switching overhead and delay penalty; and the multi-dimensional resource collaborative optimization framework based on deep reinforcement learning reconstructs a multi-objective optimization problem model, and outputs a solution of the multi-objective optimization problem model, including an optimal bandwidth and a power allocation result. According to the invention, resource allocation can be carried out on low-orbit satellites.

The invention relates to the technical field of power system management, in particular to a Beidou-based power grid emergency wireless communication monitoring system, which comprises a Beidou No.3 communication subsystem for realizing power business data encryption transmission, positioning and long message processing through a Beidou data transmission terminal and a handheld terminal; the short-wave communication subsystem establishes a communication link by using an autonomous frequency selection technology when no public network coverage exists; the Tiantong satellite communication subsystem provides voice and real-time data transmission service by means of a Tiantong satellite terminal; the converged communication control module dynamically switches communication links according to the channel quality, the service priority and the energy consumption index; the protocol conversion module realizes mutual conversion between electric power meter reading and a Beidou protocol; and the unmanned aerial vehicle relay extension module constructs an air relay link with the ground relay base station through the unmanned aerial vehicle group to extend Beidou signal coverage. According to the invention, efficient, reliable and wide power grid emergency communication is realized, and remarkable creativity and practicability are achieved.

A low earth orbit satellite (LEO)-based communication system and method. The system comprises a low-orbit satellite constellation, a ground station, a user terminal and a network management and control center. The network management and control center comprises a track and link prediction module, a link quality prediction and evaluation module, a predictive resource pre-allocation and dynamic adjustment module and a space-ground cooperative control module. According to the communication system, active resource optimization and dynamic adjustment before actual switching are realized through track and link prediction, link quality prediction, predictive resource pre-allocation and dynamic adjustment and air-ground cooperative control. According to the method, the switching time delay can be greatly reduced, the packet loss rate is remarkably reduced, and the system throughput and the access success rate are also remarkably improved. Through predictive management, the performance, reliability and user experience of LEO communication are comprehensively improved.

Methods and apparatuses for single-DCI multi-TRP based UL transmission in unified TCI framework are disclosed. In one embodiment, a user equipment (UE) comprises a processor; a memory coupled to the processor; and a receiver coupled to the processor. The processor is configured to cause the UE to: receive, via the receiver, a medium access control (MAC) control element (CE activating at least one Transmission Configuration Indication (TCI) codepoint with two uplink (UL) or joint TCI states; and receive, via the receiver, a downlink control information (DCI indicating one TCI codepoint being activated with two UL or joint TCI states if multiple TCI codepoints are activated with UL or joint TCI states.

The invention discloses a multi-beam cooperative scheduling method and a multi-beam cooperative scheduling system for low-orbit satellite communication, which mainly solve the problems of poor beam scheduling flexibility and difficulty in adapting to time-varying requirements in a high-dynamic environment in the prior art, and the implementation scheme of the multi-beam cooperative scheduling method comprises the following steps of: collecting online user information by a low-orbit satellite through a wide beam; a hopping beam position is generated by using adaptive clustering under the constraint of channel resources; a hopping beam scheduling algorithm based on deep reinforcement learning outputs an optimal scheduling strategy according to the real-time environment variable; and optimizing a beam hopping time frame structure in each scheduling period, covering accessed users in a beam position through spot beams, and sending service data and control information to complete efficient service transmission. The method can adapt to changes of user distribution and service requirements in low-orbit satellite communication, the utilization rate of spectrum resources is improved, communication delay is reduced, the overall performance and service quality of the system in a high-dynamic environment can be enhanced, and the method can be used for dynamic beam position division, hopping beam scheduling and hopping beam resource allocation in a multi-beam low-orbit satellite communication scene.

The invention discloses an intelligent broadband transmission method based on Mimo communication, and relates to the technical field of broadband Mimo wireless communication, and the method comprises the steps: determining the number and arrangement mode of transmitting and receiving antennas, generating a dynamic channel matrix through employing a geometric statistical modeling method in combination with a ray tracing method, and introducing a deep neural network to predict a change trend; optimizing antenna resources, transmitting power and spectrum allocation by adopting a reinforcement learning algorithm, and constructing a multi-constraint optimization objective function; an improved QR decomposition algorithm and a post-sorting algorithm are adopted, and an interference alignment technology and a minimum mean square error algorithm are combined to suppress interference and noise; signal preprocessing, compression and path optimization are carried out through edge calculation, and transmission delay is reduced; based on channel capacity, bit error rate, throughput and delay key performance indexes, in combination with deep learning and reinforcement learning models, resource allocation and channel modeling are optimized and adjusted. The method has the characteristics of high efficiency and self-adaption, and can be widely applied to the field of wireless communication.

The present disclosure provides a communication apparatus comprising: circuitry, which, in operation, generates at least one signal, wherein a part of the at least one signal is configured for a first station of a first generation and another part of the at least one signal is configured for a second station of a second generation in a sounding procedure; and a transmitter, which, in operation, transmits the at least one signal.

A wireless device receives one or more radio resource configuration (RRC) messages comprising one or more configuration parameters comprising a first configuration parameter and first measurement configuration parameters indicating one or more positioning measurement gaps. In response to the first configuration parameter being enabled, the wireless device determines to trigger a positioning measurement gap activation or deactivation request. Based on the one or more RRC messages comprising the first configuration parameter, the wireless device determines to trigger the positioning measurement gap activation or deactivation request using an uplink medium access control (MAC) control element (CE). The wireless device transmits the uplink MAC CE for activating or deactivating a positioning measurement gap of the one or more positioning measurement gaps.

The invention relates to a satellite-to-ground network adaptive image semantic communication method based on an NOMA technology, and the method comprises the following steps: S1, building a satellite-to-ground semantic communication frame integrated with the NOMA technology: carrying out the power superposition and serial interference elimination of different user transmission contents through the NOMA technology, a coding and decoding process is optimized through deep joint source channel coding based on hierarchical vision using a shift window; s2, establishing an adaptive semantic communication model: dynamically adjusting coding parameters based on a target bandwidth ratio and a signal-to-noise ratio of a satellite-ground channel; s3, proposing a dynamic weight adjustment algorithm: optimizing model convergence speed and transmission performance tradeoff under different channel conditions; and S4, designing a feature selection module: performing priority ranking on the image features, and selectively transmitting important features according to bandwidth resources. According to the method, the adaptive semantic communication model (ASeC-NOMA) which can be dynamically adjusted according to the target bandwidth ratio and the signal-to-noise ratio is constructed, and a large number of model storage parameters are saved while the transmission performance is ensured.

The invention provides a control method and system for an unmanned aerial vehicle to check and hit a ground station. The method comprises the following steps: firstly, acquiring real-time image data, carrying out terrain contour comparison, identifying a disaster risk area, secondly, generating a task mark file, compressing the task mark file into an encrypted data packet with a geographic label, then sending the encrypted data packet to a ground station, simultaneously receiving a rescue priority instruction, and adjusting the hovering height and the inspection navigational speed of the unmanned aerial vehicle. The method comprises the steps of receiving a device ready state code, sending the device ready state code to a ground station, verifying the integrity of the device ready state code to generate an action authorization identifier, controlling an unmanned aerial vehicle to fly to a safe coordinate, controlling the unmanned aerial vehicle to execute a task when a positioning signal transmitter receives a synchronous verification signal, and automatically deleting data after the task is completed; according to the technical scheme provided by the invention, rapid response, accurate execution and data closed-loop management of the unmanned aerial vehicle to the multi-target area in a disaster rescue scene are realized.

An intention-driven low-orbit satellite network SRv6 routing management and control method comprises the following steps: step 1, receiving and analyzing a user service demand from an application layer, and generating a corresponding intention label according to a service type; step 2, collecting state information of a satellite network in real time, tracking and recording satellite node position change and link state conversion, and establishing a complete network state database; 3, calculating a routing path meeting the service quality requirement by adopting an improved breadth-first search algorithm; 4, monitoring the state change of the inter-satellite link in real time; step 5, continuously monitoring fault events in the network, immediately starting a pre-calculated standby path when a fault is detected, updating a corresponding SRv6SID list, and performing rapid path switching; and step 6, dynamically adjusting the network flow. The method not only can adapt to the dynamic characteristics of the low earth orbit satellite network, but also can effectively meet the differentiated service requirements, and has the rapid fault recovery and load balancing capability.

A wireless device transmits radio resource control (RRC) messages comprising capability parameters indicating support, for a layer 1 and / or layer 2 triggered mobility (LTM) procedure and within a measurement window, for synchronization signal block (SSB) based inter-frequency layer 1 reference signal received power (RSRP) measurement of a candidate cell with a received time difference, between the candidate cell and a serving cell, larger than a cyclic prefix (CP) length. The device receives RRC messages indicating a measurement window. The device receives a command indicating an uplink transmission of a L1 RSRP report of the candidate cell. The first cell and the candidate cell are inter-frequency configured. The device transmits the L1 RSRP report measured over one or more first SSBs of the candidate cell. The first SSBs are received: via the candidate cell with the received time difference being greater than the CP length, and within the measurement window.

Systems, methods, and devices are provided for processing potentially overlapping measurement gaps. In one example, a baseband processor of a user equipment (UE), includes one or more processors configured to receive a first measurement gap configuration configuring a first measurement gap and a second measurement gap configuration configuring a second measurement gap. A measurement gap (MG) proximity between the first measurement gap and the second measurement gap is determined and evaluated with respect to a proximity condition. The proximity condition defines a minimum time between measurement gaps. In response to the MG proximity violating the proximity condition, the one or more processors are configured to determine that the first measurement gap and the second measurement gap are overlapping, and in response, select one of the first measurement gap or the second measurement gap for receiving reference signals.

The invention discloses an adaptive modulation anti-multipath unmanned aerial vehicle swarm communication method and system based on MIMO-OFDM, and relates to the technical field of wireless communication, and the method comprises the steps: receiving a down-conversion baseband; synchronization and compensation are carried out; removing a cyclic prefix and carrying out fast Fourier transform; estimating a channel and noise on the training and pilot frequency, and correcting a common phase; performing frequency domain equalization and soft decision, forward error correction and cyclic redundancy check according to the estimation to obtain a control parameter, decoding a payload according to the control parameter, and performing statistics to form a link quality indication; modulating coding, bandwidth and spatial mode, configuring mapping, power and weight, and packaging physical layer protocol data; carrier sensing conflict avoiding sending, confirmation and retry are adopted to generate media access statistics; and the routing selects the next-hop multi-hop forwarding according to the transmission quality, and performs end-to-end statistics and recharge. Through cooperation of hierarchical synchronization and phase correction with cyclic prefix and FFT, crosstalk is suppressed, channel noise scale optimization soft decision is robust, data decoupling is controlled, and end-to-end availability is improved through multi-hop self-healing recharge.

The invention discloses a multi-satellite network converged communication link optimization and anti-interference method, which belongs to the technical field of wireless communication networks, and comprises the following steps: acquiring Doppler frequency shift parameters of satellite nodes, adjacent satellite radiation quantity parameters and preset geographical shielding coefficients, and generating a link dynamic quality coefficient; constructing a dynamic topological graph according to the link dynamic quality coefficient; performing radio frequency fingerprint extraction and frequency domain waveform phase reversal processing on the detected interference signal to generate an anti-interference compensation signal; and when the link dynamic quality coefficient is greater than or equal to a preset quality threshold value, selecting a target transmission path according to the dynamic topological graph, and injecting the anti-interference compensation signal into the target transmission path. According to the invention, a mechanism of cooperation of dynamic link quality evaluation, interference fingerprint feature matching and multi-path fragmentation transmission is adopted, and real-time optimization selection of communication paths, accurate suppression of interference signals and efficient distribution of network resources can be realized in a complex air and space environment.

Communication devices and methods for determining channel state information (CSI) report based on artificial intelligence (AI) / machine learning (ML) are provided. The method for determining CSI report based on AI / MI performed by a communication device includes determining, by the communication device, one or more CSI reports according to an AI / ML based CSI feedback, wherein each of the one or more CSI reports contains an output of an auto-encoder, a compression ratio, a rank indicator, quantization levels, a ground truth of an enhanced CSI feedback, and / or an ML model monitoring outcome, and determining, by the communication device, priority rules for the CSI reports according to the AI / ML based CSI feedback.