576 results about "Satellite constellation" patented technology

The invention discloses a sky-ground integrated automatic driving intelligent decision-making system and method driven by a large language model, and the system comprises a satellite layer, a vehicle end layer and a cloud end layer, and achieves the precise, intelligent and efficient automatic driving decision-making through efficient data interaction and cooperative processing. The satellite layer comprises a low-orbit satellite constellation, transmits high-precision positioning information to a vehicle in real time and provides a space-time reference; the vehicle end layer is an executor, collects environment data in real time through a sensor, generates a preliminary driving decision by using high-precision positioning data and an end-to-end rapid decision model built in the vehicle end layer, and uploads driving data, environment sensing data and decision requirements to a cloud end; the cloud end carries out remote monitoring and management on the system, evaluates the vehicle state and carries out early warning, when the vehicle runs safely, the vehicle end is adopted for decision making, when potential risks or abnormal conditions exist, the large language model is adopted for decision making, optimization instructions are pushed to the vehicle end, model parameters or emergency disposal schemes are updated, and the vehicle end is assisted to correct the decision.

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.

The embodiment of the invention provides a routing method and device based on satellite processing, and the method employs a time slice division mechanism, and constructs a dynamic network topology structure according to a satellite constellation operation period and a link building rule. And the gateway station uploads the corresponding relation data of the time slice and the network topology to the satellite node for storage in advance. And after the satellite node receives the data, based on the network topology corresponding to the current time slice, the shortest path algorithm is adopted to realize autonomous routing calculation, and a next hop forwarding node is determined. And ensuring that the data is transmitted to the target node along the optimal path through a dynamic routing recalculation mechanism of the relay node. According to the method, the defects of the traditional technology in the aspects of routing real-time performance, topology management, on-satellite processing and the like are effectively overcome, and the performance of a satellite communication network is remarkably 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 provides a multi-satellite cooperative distributed routing method for multi-agent reinforcement learning, and the method comprises the steps: building a satellite network static topology model through a time slicing technology, and building a target function for minimizing the end-to-end time delay of a data packet; constructing a satellite agent network based on the satellite network static topology model, and obtaining satellite interaction experience data; wherein the satellite agent network comprises a multi-satellite cooperative hybrid network and a satellite decision network corresponding to each agent; training a satellite agent network according to the satellite interaction experience data to obtain a trained satellite agent network; and respectively deploying the satellite decision networks in the trained satellite agent network to corresponding agents, so that the agents perform routing decision based on the deployed satellite decision networks. Through cooperative work of the satellite decision network and the multi-satellite cooperative hybrid network, efficient distributed routing decision of a low-orbit satellite constellation can be realized, time delay is reduced, and load is balanced.

The invention discloses a high-performance satellite platform based on a real-time operating system and a wireless bus and a working method of the high-performance satellite platform, and belongs to satellite communication technologies, future deep space exploration and low-orbit satellite constellations. On the basis of an original structure of a satellite platform, a real-time operating system is effectively combined with a wireless bus system, and the real-time operating system comprises a kernel module, a communication module, an equipment driving module, a file system module, an application interface module, a safety module and a fault management module. The wireless bus system comprises a physical layer, a data link layer, a network layer, a transmission layer and an application layer. According to the invention, efficient and reliable communication and task execution capabilities are provided for a satellite platform, the requirements of real-time performance and reliability of a satellite in a complex environment are effectively met through modular design and tight work of the system, and meanwhile, complex lines and interfaces brought by a wired system are avoided.

A satellite constellation system includes a plurality of satellites, wherein each satellite is configured to orbit in one of a plurality of orbital planes of the satellite constellation system at an altitude range corresponding to low earth orbit (LEO), wherein each of the plurality of orbital planes includes a corresponding one of a plurality of satellite subsets of a plurality of satellites, wherein a first orbital plane of the plurality of orbital planes corresponds to a first coverage area facilitated by a plurality of navigation signals transmitted by ones of the plurality of satellites in the first orbital plane, wherein the plurality of navigation signals transmitted by the ones of the plurality of satellites in the first orbital plane each have a first primary pseudo-random noise (PRN) code; and wherein a second orbital plane of the plurality of orbital planes corresponds to a second coverage area facilitated by a plurality of navigation signals transmitted by ones of the plurality of satellites in the second orbital plane, wherein the plurality of navigation signals transmitted by the ones of the plurality of satellites in the second orbital plane each have a second primary PRN code.

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 embodiment of the invention provides a satellite constellation system and a communication control method, the system comprises a plurality of load satellites which are in inter-satellite communication connection, and each load satellite comprises a comprehensive electronic subsystem, a communication navigation subsystem, an attitude and orbit control subsystem and a power supply and distribution subsystem. During an on-orbit task, a spaceborne computer of the comprehensive electronic subsystem can obtain information of a current task stage, calculates communication target parameters according to a communication mode corresponding to the current task stage, and generates an attitude adjustment instruction based on communication attitude parameters corresponding to the communication target parameters; and controlling the attitude and orbit control subsystem to adjust the inter-satellite communication module and / or the ground communication module to a communication attitude associated with the azimuth information. According to the system, data processing and communication processes can be dispersed to a plurality of load satellites through inter-satellite communication, and the communication attitude requirement of the inter-satellite communication process is automatically adapted, so that the problem of low timeliness of the satellite system data processing and communication processes is solved.

The invention relates to a conduction fusion enhancement method suitable for an earth-moon space high-orbit spacecraft, and the method comprises the steps: transmitting a communication and navigation fusion enhancement signal through a designed and planned HEO satellite constellation, and receiving and processing a Beidou navigation signal and an HEO enhancement signal in a compatible manner on the basis of not changing the hardware structure of an earth-moon space navigation receiver. The number of available navigational stars is increased through an observed quantity combination mode, the geometric distribution of constellations is improved, and the navigation solution accuracy and the positioning precision of earth-moon space are improved. And meanwhile, a communication function of forwarding information such as navigation ephemeris, receiver position and user customized data of uplink injection on the ground through an HEO constellation is supported, auxiliary information is provided for the earth-moon space navigation receiver, the receiving processing performance is improved, and communication and navigation fusion processing is realized. According to the method, the performance and the service capability of the high-orbit satellite navigation receiver can be improved, and the method has certain reference significance for spacecraft conduction fusion and integrated design.

The invention relates to the technical field of spacecraft autonomous time keeping, and discloses a satellite autonomous clock error estimation method, a reference establishment method, a device and a product. The satellite autonomous clock error estimation method comprises the following steps: constructing a laser communication link between satellites based on a laser communication list; any satellite carrying an atomic clock with the precision not lower than E-16 magnitude is determined as a reference satellite; calculating a target clock difference between a target satellite and the reference satellite based on a first clock difference between adjacent satellites in the laser communication link; the target satellite is any satellite except the reference satellite in the navigation satellite constellation system; and the adjacent satellites directly communicate with each other through a laser communication link. By adopting the method, a navigation constellation system running in a high orbit can realize space-based autonomous high-precision clock error estimation and clock synchronization in a global range.

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.

Proposed is a topology generation device for generating topology for a low earth orbit satellite constellation system including a plurality of low earth orbit satellites to be operated in a plurality of orbits. The topology generation device may include a memory storing one or more instructions and a processor executing the one or more instructions. The processor may collect orbit information for the plurality of orbits from a ground station, collect status information including status of links between the plurality of low earth orbit satellites, and generate location information for a first low earth orbit satellite by predicting a location of the first low earth orbit satellite based on the orbit information. The processor may also generate a network topology for the low earth orbit satellite constellation system based on the location information for the first low earth orbit satellite and the status information.

The invention relates to a satellite-ground fusion network multi-target space-time switching decision-making method. The method comprises the following steps: S1, establishing system models based on a real environment and a Starlink satellite constellation, wherein the system models comprise a terminal mobile model, a network model and a communication model; s2, defining performance indexes of service quality and experience quality, and constructing a target function; s3, modeling a connection switching decision process: modeling the connection switching decision process as a Markov decision process; s4, proposing a space-time decision method for connection switching based on the double-mask double-depth Q network: obtaining an optimal switching strategy by utilizing continuous interaction between an intelligent agent and an environment; in the exploration stage and the utilization stage, action masks are used respectively to improve the learning efficiency of the intelligent agent in the high-dimensional action space. According to the method provided by the invention, the total switching frequency in the transmission process is reduced, the average connection duration is prolonged, the average throughput is improved, the delay is reduced, and meanwhile, dense switching in the transmission process is avoided.

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.

Methods, systems, and techniques for assigning an image acquisition task to a constellation of satellites may be performed by first receiving a request via an inbound API call to assign the image acquisition task to the constellation of satellites. The request may include a time at or during which at least one image is to be acquired by the constellation. Based on the request, at least one task performance rule specifying how the task is to be performed is retrieved. At least one internal API call is generated to task the constellation of satellites to perform the task. The at least one API call specifies the time at or during which the task is to be performed and the at least one task performance rule. The task is then assigned to be performed by the constellation of satellites by making the at least one internal API call.

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 relates to a large-scale low-orbit satellite constellation network access node selection method, and belongs to the technical field of satellite communication. The method comprises the following steps: firstly, calculating positions and beam coverage conditions of high and low orbit satellites in an earth-fixed coordinate system at each moment through ephemeris, platform and load information of the satellites; secondly, designing an adaptability function according to the position relation between satellites, beam coverage, communication link channel quality and service demand conditions; and finally, a satellite suitable for serving as a network access node is selected from a large-scale low-orbit satellite constellation through a genetic algorithm. The method can be used for realizing efficient dynamic connection node selection in high-orbit and low-orbit satellite combined networking, so that functions of resource coordination, load balancing and the like among satellites are realized, and the deployment efficiency of a large-scale low-orbit satellite constellation is improved.

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 provides a rapid constellation configuration design method based on parallel reinforcement learning and a genetic algorithm, and the method comprises the following steps: randomly generating an observation target, constructing an observation target data set, and giving initial constellation configuration parameters; under the constraint condition, a multi-objective optimization model about constellation configuration parameters is constructed, and the multi-objective optimization model comprises a parallel reinforcement learning module and a genetic algorithm module; the parallel reinforcement learning module performs training interaction according to an input observation target data set and constellation configuration parameters, and outputs batch candidate solutions to the genetic algorithm module; and the genetic algorithm module evaluates and optimizes the received candidate solution to obtain an optimal constellation configuration parameter and outputs the optimal constellation configuration parameter. According to the method, the work efficiency of reinforcement learning can be improved to the maximum extent under limited video card resources, so that the configuration optimization efficiency for large-scale satellite constellations is improved.

The invention relates to a large-scale satellite group network self-organizing clustering method, which comprises the following steps of: acquiring position data of all satellites in a ground station server, identifying different satellites on the same layer, and establishing a large-scale satellite group-oriented self-organizing clustering mathematical model and a large-scale satellite group clustering model construction mode based on an alliance composition game; and finally, forming a self-organizing clustering algorithm based on a coalition game. And finally, effective dimension reduction of the large-scale satellite group online collaboration problem is realized.

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 relates to a task-oriented multi-layer low-orbit satellite giant satellite base clustering networking method, which comprises the following steps of: 1, initializing satellite constellation data which comprises load resources of satellites, geographic positions and orbit position information of the satellites and inter-satellite link establishment conditions of the satellites, and after a task is generated, performing clustering networking on the satellite constellation data; receiving the task data by a control center located on the ground or a high-orbit satellite; step 2, the control center establishes a task model according to satellite resources required by the task, and establishes a satellite model according to orbit parameters of the satellite and satellite load capacity data; establishing a specific task and satellite model establishment mechanism; and 3, determining limiting conditions according to different task types, and the like. The method has the advantages that mathematical modeling is carried out on the tasks and the satellites, the cooperation relation between the satellites and the matching relation between the satellites and task requirements are combined through the node enhancement graph, and a foundation is laid for task-oriented on-demand clustering.

The invention discloses a receiver autonomous integrity monitoring method suitable for a complex environment. The method comprises the following steps: firstly, constructing a weighting model based on a vehicle course angle; then, acquiring a pseudo-range observed quantity of a satellite and preprocessing the pseudo-range observed quantity, and establishing a criterion for evaluating the comprehensive positioning precision of a current consistent measured value by utilizing pseudo-range residues after positioning, so as to form a satellite interior point subset of the epoch; and finally, carrying out approximate estimation on a user equivalent distance measurement error of a preferred constellation in the epoch satellite interior point subset, introducing a position geometric accuracy factor of the satellite constellation, constructing an evaluation function, selecting an optimal sample set, and finally solving the optimal sample set by adopting a weighted least squares (WLS) method to obtain a distance measurement result. And obtaining a final position solution result of the receiver. According to the invention, the positioning precision and fault detection capability of the receiver are improved, so that autonomous integrity monitoring of the receiver is completed.