481 results about "Satellite constellation" patented technology

The invention discloses a satellite collision avoidance system and method based on a satellite edge computing network. The system comprises a space monitoring network, a space traffic management subsystem and the satellite edge computing network. The space monitoring network is used for observing the running state of a space target to obtain multi-source observation data; the space traffic management subsystem is used for integrating the multi-source observation data to generate space target orbit data; the satellite edge computing network further comprises the steps that a GEO satellite broadcasts space target orbit data to an LEO satellite constellation and forwards collision risk screening information to a ground cloud computing center; the LEO satellite constellation calculates collision risk screening information according to the space target orbit data and formulates a collision avoidance control strategy; the LEO / GEO earth station is used for data transceiving and protocol conversion among the GEO satellite, the LEO satellite constellation and the cloud computing center; and the ground cloud computing center stores constellation orbit data through protocol conversion and satellite communication. According to the invention, the real-time performance of satellite collision avoidance is improved.

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.

The invention provides a satellite networking communication method, device and equipment, and the method comprises the steps: carrying out the space-time window decomposition processing of a satellite constellation orbit parameter based on orbit phase synchronization, and decomposing a long-period scheduling problem into a plurality of short-period sub-problems; performing state transition conflict detection processing on the double-feed antenna system according to the space-time window decomposition result, and determining the working state of the feed antenna; parallel neighborhood search processing based on reinforcement learning is carried out according to the feed antenna resource configuration scheme, and a communication link scheduling strategy is generated through multi-thread collaborative optimization; and performing dynamic fusion processing based on state prediction according to the parallel optimization scheduling scheme, and adjusting a satellite-ground station communication link establishment time sequence through learning type template matching. Through space-time decomposition, intelligent conflict detection, reinforcement learning optimization and dynamic fusion, the problems of complexity and real-time performance of large-scale satellite networking communication scheduling are solved, and the scheduling efficiency and the communication quality are remarkably improved.

The invention discloses a low earth orbit satellite constellation dynamic hopping beam variation optimization method based on deep reinforcement learning, solves the problem of dynamic hopping beam optimization in LEO satellite constellations, and realizes intelligent decision making of satellites only depending on local information through a distributed multi-agent deep reinforcement learning method. The system throughput is improved; and the communication delay is reduced.

The embodiment of the invention provides a satellite beam scheduling method and device based on reinforcement learning, equipment and a storage medium. The method comprises the following steps: constructing a state space comprising respective satellite identifiers of a plurality of satellites in a navigation satellite constellation, pitch angles of the satellites relative to a target area, direction angles of the satellites relative to the target area and relative distances between the satellites and the target area, and constructing an action space comprising a satellite identifier sequence of satellites to be scheduled, the method comprises the steps of designing a reward function based on a reward index comprising a coverage multiple reward and a PDOP reward, training a neural network of satellite beam scheduling according to a state space, an action space and the reward function based on a TD3 algorithm to obtain a trained strategy network, inputting a real-time state vector of a target area into the trained strategy network to obtain a real-time action, and outputting the real-time action to the target area. And controlling all satellite beams corresponding to the real-time action to point to the target area. The method can improve the service quality of the satellite and improve the accuracy of reentry trajectory prediction.

The invention provides an inter-satellite link communication simulation method and system based on a satellite constellation and a program product, and the method comprises the following steps: calculating the position and speed data of at least two satellites in a preset time sequence based on a satellite orbit parameter and acting force model; calculating attitude data of the at least two satellites in a preset time sequence based on the satellite attitude parameters and an attitude dynamics model; on the basis of the position, speed and attitude data and preset link parameters, inter-satellite link key parameters between the at least two satellites are calculated, and the key parameters comprise link delay, bandwidth, signal strength and bit error rate; and carrying out three-dimensional visual display on the position, speed, attitude data and inter-satellite link key parameters. The problems that in the prior art, a simulation system cannot comprehensively reflect the actual communication condition, and it is difficult to accurately simulate the electromagnetic wave propagation particularity in the space environment are solved, the performance of the communication link can be predicted more accurately, and the reliability of inter-satellite communication link simulation is enhanced.

The invention provides a satellite constellation network topology state rapid sensing method. A multi-dimensional physical layer monitoring module, a dynamic adaptive BFD detection mechanism, an OSPF routing protocol and a shared data exchange area of a BFD driver and an OSPF process are deployed on each satellite node. According to the method, the connectivity of inter-satellite links is monitored in real time by using a physical layer signal state monitoring technology and the rapid link state detection capability of a BFD protocol, and related nodes are immediately notified through a control message when a fault is detected; meanwhile, the detection result of the BFD is linked with an OSPF routing protocol, and instant routing recalculation is triggered, so that the routing convergence time is shortened. A cross-layer closed-loop linkage system is constructed, a physical layer senses data to dynamically regulate and control protocol layer detection parameters, and hardware acceleration is combined to realize fault detection full-process optimization, so that the fault detection and recovery speed is accelerated, the resource utilization efficiency and the overall transmission efficiency of an inter-satellite network are improved, and the fault detection and recovery efficiency is improved. And high reliability and stability of the network are ensured.

The invention discloses a micro-nano calibration satellite constellation cooperative control method based on GA and DRL coupling optimization, and relates to the field of satellite networking and constellation optimization design. The method comprises the following steps: constructing a micro-nano satellite constellation task model based on constellation information data; performing global optimization on the constellation parameter vector according to the fitness function in a full constellation parameter space by adopting a genetic algorithm based on the micro-nano satellite constellation task model to obtain an initial constellation configuration set; determining a strategy parameter set according to the initial constellation configuration set by adopting a deep learning method; and carrying out in-orbit deployment according to the strategy parameter set, carrying out state estimation on each satellite, carrying out dynamic updating on the satellites based on the satellite execution control quantity, and completing task allocation and maneuvering negotiation through inter-satellite links by adopting a satellite distributed cooperative strategy so as to realize constellation-level execution control. According to the invention, constellation-level optimal configuration and autonomous cooperative control can be realized, and the in-orbit calibration capability of the micro-nano satellite constellation is improved.

The invention discloses a hybrid in-band telemetering system and method for a giant constellation satellite network, and the method comprises the steps: firstly determining a detection node through a central controller, and building a communication channel; secondly, the central controller issues a telemetering task, the detection node constructs a detection packet active period broadcast, the forwarding node modifies and forwards the detection packet, and finally the detection node uploads the detection packet containing telemetering data to the central controller; in the process, the forwarding node performs periodic self-inspection, and processes telemetering abnormal conditions through a self-inspection packet and election of a temporary detection node; and finally, the central controller analyzes the detection packet to obtain the state information of each link, and the telemetering task is completed.

The embodiment of the invention provides a resource allocation method and device of a communication and navigation integrated system, a medium and a product, and relates to the technical field of communication and navigation integration. The method comprises the following steps: constructing a communication and navigation integrated ICaN user system of a low earth orbit satellite constellation service ground; constructing an optimization objective function based on the channel state of the system and the relative position relationship between the satellite and the user; reconstructing a resource allocation problem corresponding to the optimization objective function into a Markov decision process MDP; and optimizing a PPO algorithm by adopting a near-end strategy, solving the MDP, and carrying out dynamic allocation of low-orbit satellite communication and navigation resources. According to the scheme of the invention, through the technical framework of dynamic state perception, model-free reinforcement learning and multi-target collaborative optimization, three bottlenecks of an existing method in a low-orbit satellite ICaN scene are specifically broken through, dynamic adaptability, model independence and performance collaboration of resource allocation are realized, and an efficient solution is provided.

The invention provides a low-earth-orbit satellite global beam position distribution and scheduling system based on deep reinforcement learning, and the system comprises a low-earth-orbit satellite scene modeling beam position distribution module which is used for constructing a low-earth-orbit satellite communication scene and completing the global beam position division. A satellite constellation configuration and orbit parameters are set, global beam positions are divided based on a spherical network, a beam ground projection model and a user system model are established, and a scene basis and a beam position division basis are provided for beam resource scheduling; the deep reinforcement learning beam resource scheduling module is used for realizing intelligent allocation scheduling of beam resources, establishing a decision system based on a Markov decision process by constructing a beam resource allocation model, extracting features through a state space model, performing time sequence modeling, and optimizing a scheduling strategy based on deep reinforcement learning. And dynamically matching the user demand and the beam resource. Therefore, dynamic optimization of low-orbit satellite beam resources is realized, the resource utilization rate is improved, and the communication requirements of users are efficiently met.

The invention provides a satellite search method and device, electronic equipment, a storage medium and a program product, and relates to the technical field of communication. According to the method, under the condition that the terminal has no satellite ephemeris information or the ephemeris fails, the target search airspace of the satellite is accurately determined by acquiring the terminal position information and the satellite constellation configuration information, and efficient search is performed in the airspace by using the directional antenna, so that the satellite search time and computing resource consumption are remarkably reduced.

The invention discloses a low earth orbit satellite collaborative edge reasoning method and system. The method comprises the following steps: dynamically establishing a computing cluster comprising at least two member satellites in a plurality of low-orbit satellites according to a preset rule, and establishing an inter-satellite link; member satellites in the cluster use the optimized lightweight neural network model to perform in-orbit processing on input data to generate a local feature vector or a preliminary reasoning probability; the member satellites send local processing results to a specified aggregation node through inter-satellite links; and the aggregation node receives the processing results from the plurality of member satellites, performs intelligent aggregation calculation according to the types of the results in combination with evaluation information of the source satellite or the model, and generates a final collaborative reasoning result. According to the method, through multi-satellite distributed calculation and intelligent information fusion, the bottleneck of single-satellite calculation and the limitation of satellite-ground communication are overcome, and the efficiency, the accuracy and the robustness of in-orbit execution of the AI reasoning task by the low-orbit satellite constellation are improved.

The invention provides a data interaction scheduling method and device based on a low earth orbit satellite and electronic equipment, and relates to the field of data processing. In the method, for concurrent scheduling of multiple evidence obtaining tasks, task priorities are calculated based on task criticality, a time window and response confidence, and a multi-stage scheduling queue is constructed; obtaining a low-orbit satellite constellation configuration, and establishing a directed graph structure of satellite nodes and links; searching multiple paths from the ship to the shore-based system and scoring to form a path scheduling table; dividing bandwidth areas according to task priorities and link bandwidth states, and constructing a bandwidth slice configuration table; through a path and bandwidth double-mapping strategy, a data interaction scheduling mechanism of evidence obtaining data uploading and control data issuing is realized. By implementing the technical scheme provided by the invention, the execution timeliness of the whole evidence obtaining task can be improved.

The invention discloses a multi-beam spatial frequency conflict resolution method which is suitable for a large-scale low-orbit satellite constellation system. According to the method, high-orbit satellites are used as centralized control nodes, orbit states and service requirements of low-orbit satellites in a system are received, and allowable transmission practice windows and required continuous transmission time slot numbers of the low-orbit satellites are analyzed; on the basis, calculating a space intersection area and a potential interference time period between the low-orbit tracks; and aiming at the differentiated transmission requirements, according to a preset orbit priority sequence, sequentially allocating transmission time slot resources to each low-orbit satellite transmission service. According to the invention, the overall perception of a high-orbit satellite on the orbit state and service requirements of a low-orbit satellite, the search and judgment of orbit cross interference beams and time periods, and the comprehensive decision of service transmission time sequence optimization distribution are carried out; the method achieves the effective avoidance of potential same-frequency interference of transmission services of satellites with different orbits in an intersection region in a complex space-time dynamic environment, and remarkably improves the transmission success rate and the overall resource utilization rate of a large-scale low-orbit constellation system.

The invention discloses a service scheduling method and system for a photoelectric hybrid low earth orbit satellite network, and relates to the technical field of satellite communication and network resource management.The method comprises the steps that the photoelectric hybrid low earth orbit satellite network is constructed, and topological information, node information and a to-be-scheduled service set of the photoelectric hybrid low earth orbit satellite network are obtained; establishing a mixed integer linear programming model containing node selection constraint, service scheduling sequence constraint and routing constraint by taking the minimum weighted sum of the total service completion energy consumption and the total service completion time as a target; in order to solve the problem of high model complexity, a heuristic algorithm based on simulated annealing is designed, and efficient solution is carried out by iteratively optimizing a scheduling sequence and a routing path of a service; and finally, implementing service scheduling according to the obtained optimal scheduling scheme. According to the method, heterogeneous characteristics of the photoelectric nodes and link resource conflicts are fully considered, dynamic balance of energy consumption and time delay is achieved, network energy efficiency and business service quality are remarkably improved, and the method is suitable for efficient operation of large-scale low-orbit satellite constellations.

The invention discloses a multi-constellation cooperative edge computing unloading prediction method and device. The method comprises the following steps: determining the task calculation amount of each satellite in a satellite constellation for the same area; constructing a first graph structure by taking each satellite as a first node and taking the first task unloading relationship of each satellite as a first edge; iteratively updating the first graph structure by using a graph neural network model according to a preset calculation rule to generate a second graph structure; constructing a first target feature vector and a second target feature vector corresponding to the virtual task unloading relationship in the second graph structure, and determining a second task unloading relationship among the satellite constellations in the second graph structure according to the first target feature vector and the second target feature vector; and determining a third target feature vector corresponding to the association node of the second task unloading relationship in the second graph structure, inputting the third target feature vector into a pre-trained first prediction model, and predicting the task unloading amount among the satellite constellations.

Described herein is a method for wireless transmission of energy in space, wherein a constellation of transmitting satellites orbiting around a celestial body, such as the planet (P) Earth or the Moon (L), are equipped with a laser apparatus for sending a beam of coherent electromagnetic waves to an orbiting satellite or another receiving target, such as a mobile vehicle or a fixed base on said generic celestial body, in order to transmit energy thereto. The total power transmitted is divided among the orbiting satellites in the constellation, resulting in less contraindications than in the case of a single transmitting system with equivalent total power. The advantage of such division among a constellation of satellites mainly consists of shorter periods of solar eclipse, since sunlight is necessary for the operation of the transmission system. The receiving target or satellite converts the beam of electromagnetic waves into electric energy.

The invention discloses a software and hardware cooperation system and method for satellite network routing simulation, and mainly solves the problem that an existing simulation scheme is difficult to consider high fidelity of protocol behaviors and high performance of data forwarding in a high dynamic satellite network. The system comprises a software control plane unit, a hardware data plane unit, a satellite network simulation upper computer and a switch, and the switch is bidirectionally connected with the software control plane unit, the hardware data plane unit, the satellite network simulation upper computer and the switch and serves as a data exchange platform of the system. The satellite network simulation upper computer is used for system configuration management, operation state monitoring and result visualization; the software control plane is used for executing simulation calculation and routing decision of a satellite network routing protocol and generating a standardized forwarding table item; and the hardware data plane unit performs high-speed and deterministic table lookup forwarding according to the standardized forwarding table item, and simulates a satellite resource constraint environment. According to the method, the integrity of protocol simulation details is guaranteed, meanwhile, high-efficiency forwarding performance and non-interruption updating in a high-dynamic environment are achieved, and the method can be used for routing protocol verification, network performance testing and satellite-borne algorithm evaluation of large-scale low-orbit satellite constellations.

The invention provides a multi-shell low-orbit constellation end-to-end communication shortest path planning method and device based on state optimization. The method comprises the following steps: integrating information of satellites and ground stations in a multi-shell low-orbit constellation, and updating a virtual constellation network topology in real time; according to a graph theory principle, taking a satellite and a ground station as nodes, and abstracting a virtual constellation network topology into a weighted graph; selecting an optimal starting satellite node in the weighted graph according to the position information of the starting user, the comprehensive elevation angle, the satellite orbit state and the distance constraint with the target user; and taking the optimal satellite node as a starting point of the first round of search process, and iteratively searching the optimal next-hop node according to the state of the current node in the weighted graph in each round of search process until the optimal satellite node associated with the target user is searched, so as to determine the final shortest path. According to the method, a virtual node method is adopted to cope with topology complexity, path planning efficiency is optimized in two stages, and efficient and stable operation of low-orbit satellite constellation communication is effectively promoted.

The disclosed system provides distributed management and control of satellite constellations. Such distributed management and control that involves a plurality of satellites, a plurality of ground stations, a mission control station, and a data center that hosts a portion of an Internet cloud. The system resolves issues that have plagued legacy attempts. Specifically the disclosed system includes optimized communication with satellites that leads to more efficient transfer of data and payloads to or from or by or between satellites and ground control systems. This is achieved through use of micro-batching of communications. In this manner, data may be processed and more effectively transmitted to and from more than one satellite and back to one or more ground stations, including coordinated transmissions of portions of a micro-batch between two or more ground stations.

The invention discloses a computing power scheduling method for multi-satellite collaborative application. The computing power scheduling method comprises the steps that 1, a ground station generates an undirected connection graph according to a satellite constellation topological structure and a resource state; step 2, the ground station receives a user instruction and carries out task computing power demand estimation; step 3, the ground station adopts a sliding window mode on the undirected connection graph to determine an execution area for executing the task; 4, calculating a central node of the execution area, and taking the central node as a source satellite for executing an information acquisition task; 5, executing an information acquisition task by the source satellite; step 6, completing task data distribution from the source satellite to other satellite nodes in the area by adopting a double-factor sorting scheduling strategy; 7, the satellite node returns a result to the source satellite after completing task processing; and step 8, the source satellite collects the result and sends the result to the ground station. The invention provides a strategy of multi-satellite cooperative processing and resource dynamic scheduling under the condition that the single-satellite capability is limited, and the processing time delay of on-satellite data is reduced.

In some embodiments, a communications system can include a plurality of low earth orbit (LEO) satellites deployed at different altitudes and configured to communicate with one or more terrestrial devices and with one another. The communications system may further include a plurality of geosynchronous (GEO) satellites deployed above the plurality of LEO satellites. The plurality of LEO satellites may cooperate with one another and with the plurality of GEO satellites to provide a global communication network having redundant point-to-point communication.

A constellation of satellites provides communication services to user terminals (UTs). Some UTs may be mobile. Each satellite provides communication services to discrete geographic areas or “spots” on and above the Earth. The mobile UT determines it will be moving from a current spot to a destination spot based on one or more of geographic position and the geometry of the spots, or signal strength of received signals from one or more satellites associated with the destination spot. The mobile UT sends a handover request. Responsive to the handover request, communication resources associated with a handover time and the destination spot are allocated to the mobile UT. This information is provided to the mobile UT for use after the handover time. During this process, the exact position of the mobile UT remains unknown to the satellites and associated systems managing the constellation and handover.

The invention discloses a constellation operation state consistency evaluation method based on multidimensional data covariance analysis, and relates to a constellation operation state consistency evaluation method. The method aims at solving the problems that weight determination based on the data fusion technology often depends on experience or some subjective judgment, objective bases are lacked, and different weight distribution may cause large difference between a fusion result and a consistency evaluation result. The method comprises the following steps: step 1, preprocessing satellite constellation multi-dimensional telemetry data; 2, calculating a covariance matrix of the multi-dimensional telemetry data of the satellite constellation; and step 3, evaluating the consistency of the telemetry data based on the covariance matrix. The invention belongs to the technical field of satellite data analysis.

A communications system may include a satellite constellation and a terrestrial network. A first user equipment (UE) device may provision sender keys, handles, and / or status information with a core network while connected to the terrestrial network. The core network may accommodate server fan out to a set of other UE devices associated with a particular user identifier. When the first UE device disconnects from the terrestrial network, the first UE device and the set of other UE devices may convey end-to-end encrypted messages through the constellation and the core network. The first UE device may address the set of other UE devices using a short handle associated with the user identifier and / or using a handle index. The first UE device may transmit a control message via the constellation that instructs the core network to release provisioned status information to the set of other UE devices.

This invention relates to a routing method and system for low-Earth orbit satellite constellation networks. This method enhances the congestion awareness of satellite nodes to improve the routing selection and traffic distribution effect. Based on real-time link status information, routes are updated promptly to better respond to changes in satellite network topology and network traffic, resulting in a higher packet delivery success rate. It improves congestion awareness to obtain link load information within a two-hop range and enhances network load balancing by providing a wider range of routing options, enabling satellite nodes to make routing and forwarding decisions with a broader routing perspective.

The invention provides an inter-satellite link dynamic control method and device for a multi-layer satellite constellation and a storage medium. The method comprises the following steps: acquiring an inter-satellite distance threshold matrix and an inter-satellite link adjacency matrix corresponding to the multi-layer satellite constellation; the inter-satellite distance threshold matrix is optimized through a preset optimization algorithm, and a preliminary optimization adjacency matrix meeting inter-satellite link network topology constraints is generated; generating a node feature matrix and inputting the node feature matrix into the graph convolutional neural network to obtain a network feature vector; generating a link exchange strategy candidate set; inputting the network feature vector into an inter-satellite link control model, taking the link exchange strategy candidate set as an action space, and generating a target link exchange strategy; and according to a target link exchange strategy, updating the preliminarily optimized adjacency matrix, performing performance evaluation according to the updated adjacency matrix, and adjusting inter-satellite links among the satellite nodes in the multi-layer satellite constellation. According to the method, the control performance and reliability of inter-satellite link control can be improved, and the actual demand of modern satellite network topology optimization is met.

A communications system may include a satellite constellation and a terrestrial network that convey text messages between first and second user equipment (UE) devices. The terrestrial network may include a core network, an inter-working function (IWF) server, and carrier networks. The IWF server may distribute keys and the first UE device may transmit provisioning data to the core network while the first UE device is on-grid. When the first UE device goes off-grid, the first UE device may transmit an escrow key to the core network for use in decrypting a device public key from the provisioning data. The core network may transmit the device public key and other information to the IWF for use in routing messages via the NTN. The core network may use the handles to enforce an allow list that filters traffic to the first UE device over the NTN.

The invention discloses a satellite orbit determination method and device, a storage medium and electronic equipment. The method comprises the following steps: acquiring an initial satellite position of a target communication satellite under the condition that the target communication satellite can receive a navigation signal, and determining a reference orbit of the target communication satellite based on spatio-temporal information of a navigation satellite; obtaining a target satellite position and a target non-conservative force model coefficient through orbit fitting; performing orbit integration to determine an integration orbit; comparing the integral orbit with the reference orbit to determine a position error sequence and process noise covariance information; and under the condition that the target communication satellite cannot receive the navigation signal, performing orbit filtering by using the inter-satellite link data, and determining a target operation orbit. The technical problem that a satellite cannot run according to a correct orbit due to the fact that a satellite constellation integrally deviates and rotates is solved.