642 results about "Low earth orbit" patented technology

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.

The invention provides a model and data driven low-orbit navigation enhanced satellite clock error forecasting method and equipment, and the method comprises the steps: carrying out the preprocessing of original clock error data of a low-orbit satellite: converting clock error time domain data into frequency domain data through time-frequency conversion, and employing a quartile method to recognize and eliminate frequency domain outliers and corresponding time domain abnormal values; constructing a frequency domain energy model and extracting periodic terms, including performing power spectral density analysis on the preprocessed clock error frequency domain data, and adaptively extracting significant periodic components of the low earth orbit satellite clock error through a threshold value; establishing a polynomial low earth orbit satellite clock error forecasting model considering periodic term correction and forecasting a clock error sequence to obtain a corresponding fitting residual error sequence and a clock error forecasting value; and normalizing the fitting residual error sequence, inputting the fitting residual error sequence into the gating circulation unit neural network, training and forecasting by adopting a window sliding input mode, and outputting a residual error prediction result. According to the method, the interpretability of the forecasting result can be effectively improved while the low earth orbit satellite clock error forecasting precision and stability are improved.

The invention belongs to the technical field of satellite orbit prediction, and provides a low-orbit satellite orbit state prediction method based on artificial intelligence, which comprises the following steps of: dividing step lengths of a predicted orbit according to a time window, calculating a resultant acceleration of each step length, performing stress input on an initial position and speed, and obtaining a nominal orbit state sequence; forming an augmented state vector with aerodynamic synthesis parameters; inputting a time sequence neural network model, and performing rolling updating on the augmented state according to the output; obtaining an original standard deviation through mapping by using uncertainty measurement, calculating a standardized residual error, solving a right side weighted quantile according to a normalized time weight, comparing the right side weighted quantile with a preset threshold value, and carrying out adaptive deviation adjustment; and calculating risk measurement by using the acquired data, comparing the risk measurement with a set threshold value and a priority rule, automatically executing a judgment action on the risk measurement, recording a trigger reason and the judgment action, and updating parameters in the time sequence neural network model.

The invention provides a low-orbit satellite communication terminal network performance dynamic tuning method and system, and relates to the technical field of low-orbit satellite communication. Comprehensive data such as relative movement of a satellite and a terminal and signal transmission loss are acquired; preprocessing the integrated data, inputting the preprocessed integrated data into a time sequence prediction model containing LSTM and Transform, generating a signal quality and intensity index sequence and a link stability level in a future preset time window, and carrying out dynamic optimization based on the generated indexes, including adjusting a terminal modulation mode according to the signal quality; combining the link stability and the signal strength to aggregate the link, and optimizing the switching opportunity and path; allocating resources according to the signal strength and the service characteristics; and optimizing the energy consumption according to the relative motion and the business characteristics. Through accurate prediction and multi-dimensional adjustment and optimization, the communication efficiency and reliability of the low-orbit satellite communication terminal network are improved, energy consumption and delay are reduced, and good communication quality is guaranteed.

The invention relates to the technical field of satellite internet, and discloses a low-orbit satellite phased array multi-beam interference modeling and suppression method and system, and the method comprises the steps: selecting a Kaiser window as a core filtering method, and achieving the optimization of beam characteristics through the dynamic adjustment of a shape parameter beta; generating an initial beam directional diagram based on a digital phase matching method, and multiplying the Kaiser window function coefficient by the excitation weight of the 64-array-element linear array element by element to realize spatial domain weighted filtering; the method comprises the following steps: constructing a training data set containing multi-scene interference characteristics, calculating a corresponding covariance matrix and an accurate inverse matrix thereof to form a sample pair, designing a deep neural network architecture, inputting a flattened covariance matrix vector, and learning a complex nonlinear mapping relation from the covariance matrix to the inverse matrix through a multi-layer full-connection structure; a mean square error is used as a loss function to constrain network output precision, and a multi-beam interference system model is constructed; according to the invention, stable and efficient communication of the low-orbit satellite system in a complex electromagnetic environment and under rapid channel change is ensured.

The embodiment of the invention discloses a precision positioning acceleration method and device based on a low earth orbit satellite / LSTM neural network. The method comprises the steps that a terminal obtains a wide lane phase decimal deviation product, a narrow lane phase decimal deviation product and a first GNSS combination observation value which are generated by a server based on an LSTM method and are subjected to coding processing; determining a first GNSS wide lane real number ambiguity according to the first GNSS wide lane real number Based on a precise point positioning algorithm, determining initial GNSS ionosphere elimination combination real ambiguity and other parameters; performing inter-satellite single difference on the first GNSS wide-lane real number ambiguity, and obtaining the integer ambiguity by combining wide-lane phase decimal deviation product fixation; performing inter-satellite single difference on the initial GNSS ionosphere-free combination real ambiguity, determining a first GNSS narrow-lane real ambiguity by combining the wide-lane integer ambiguity, and fixing the first GNSS narrow-lane real ambiguity by using a narrow-lane phase decimal deviation product through a partial ambiguity fixing method to obtain the integer ambiguity of the narrow-lane phase decimal deviation product; and calculating a user coordinate fixed solution in combination with related parameters.

The invention discloses a method and a system for capturing an ultra-wideband navigation signal of a low-orbit satellite, which are used for solving the technical problem that the existing method for capturing the ultra-wideband navigation signal of the low-orbit satellite is easy to cause that the signal cannot be locked, and finally the capturing success rate is low. The method comprises the following steps: acquiring ka-band low-orbit satellite signals and low-orbit satellite pseudo-random noise codes corresponding to a plurality of low-orbit satellite ultra-wideband navigation signals; generating a complex signal and an original intermediate-frequency signal according to a preset sampling rate, preset skipping time and the ka-band low-orbit satellite signal; constructing a pseudo-code spectrum library based on the pseudo-random noise codes of the low-orbit satellites, and outputting the pseudo-code spectrum library; determining a discrete frequency search sequence based on known intermediate frequency parameters of the original intermediate frequency signal, performing matrix construction in combination with the complex signal and the pseudo code spectrum library, and outputting a three-dimensional result matrix; and capturing and judging the ultra-wideband navigation signals of the low-orbit satellites by adopting the three-dimensional result matrix, and determining a plurality of successfully captured ultra-wideband navigation signals of the low-orbit satellites.

The invention discloses a double-layer ionosphere modeling method fusing low-orbit satellite data, which comprises the following steps of: preprocessing ground-based GNSS (Global Navigation Satellite System) data to obtain an STEC expression of a ground-based GNSS; preprocessing the precise orbit determination data of the low-orbit satellite to obtain a VTEC expression of the precise orbit determination data; obtaining an electron density profile product of the radio occultation of the low-orbit satellite, and obtaining VTEC of the radio occultation through profile integration; using two groups of spherical harmonic coefficients to express global VTEC distribution, and constructing an observation equation; and determining weights of different types of data by using Helmert variance component estimation, and finally solving to obtain two groups of spherical harmonic coefficients to generate an ionized layer grid product. Projection errors caused by vertical layering in a traditional single-layer model are weakened, meanwhile, precise orbit determination data and radio occultation data of a low-orbit satellite are combined, the problem that ionosphere TEC cannot be correctly layered in a double-layer model is solved, data of areas where GNSS tracking stations are sparsely distributed are supplemented, and the reliability of the GNSS tracking stations is improved. Therefore, a global ionosphere model with higher precision is obtained.

The invention discloses an energy scheduling method, system and device for a low-earth-orbit satellite and a medium. The method comprises the steps that the energy storage level is calculated according to the current generation power of the low-earth-orbit satellite, the current remaining electric quantity of an energy storage unit and the health degree of a battery; generating a future illumination time sequence according to the orbit parameters of the low-orbit satellite and the satellite attitude control data; according to the current operation state data of each device loaded on the low earth orbit satellite and a preset task list, generating corresponding task prediction energy consumption data arranged in a descending order according to the importance level through a historical energy consumption model; according to the energy storage level, the future illumination time sequence and the task prediction energy consumption data, calculating the dominant power supply amount, matching the energy consumption demand in the task prediction energy consumption data, and carrying out the preferential power supply of the equipment of the task item with the high importance level. And carrying out power supply adjustment on the other equipment by adopting at least one strategy of delaying to the illumination period, reducing the operation power and shortening the operation duration so as to realize efficient scheduling on the energy of the low-orbit satellite.

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.

A multi-static synthetic aperture radar using beamformed illumination beams and multiple collection satellites is described. An illumination satellite may be in first orbit and multiple collection satellites may be in a second orbit. The illumination satellite may transmit beam signals (e.g., communication signals carrying modulated data to user terminals) from an antenna array to different beam coverage areas according to a beamforming matrix. Each of the collection satellites may receive reflections of the beam signals. The reflected signals received at the collection satellites may be processed according to the beam signals and beamforming matrix used to transmit the beam signals to obtain an image of a geographical area. In some cases, the collection satellites may relay the received signals for processing via the illumination satellite.

The application discloses a low-orbit satellite congestion control method based on an artificial immune algorithm, which comprises the following steps: a satellite node periodically monitors the occupancy rate of an output queue in each direction, when congestion is detected, the satellite generates a congestion warning packet as an antigen and sends it to a directly adjacent node; the adjacent node receiving the congestion warning packet finds a matching item of an affected destination node in a historical memory cell library through the similarity between the current scene and the historical record, as the routing strategy of the destination node; when no match is found, the optimal bypass strategy is determined based on the direction of the congestion link and the position information of the satellite; the satellite comprehensively evaluates the generated control strategy within a time window; when the affinity continues to fail to reach a threshold, the satellite continuously monitors the queue occupancy rate change trend, and when it is found that a continuous multiple periods show an upward trend, the shunt proportion is increased; the application improves the response speed of the congestion control, network performance and service quality.

The invention belongs to the technical field of wireless communication, and particularly relates to a positioning method based on low-orbit satellite opportunity signal Doppler measurement. The method solves the Doppler measurement positioning problem based on low orbit (LEO) satellite opportunity signals under the condition that GNSS signals are limited or unavailable. A positioning process is modeled as a non-linear state space framework, a joint estimation scheme combining a cubic Kalman smoother and an expectation maximization algorithm is provided, efficient estimation of a terminal position and Doppler frequency shift is realized, and noise covariance is adaptively optimized at the same time. The method provided by the invention theoretically ensures the optimal performance in statistical significance. A simulation result shows that compared with a traditional nonlinear least square method, the scheme provided by the invention can remarkably improve the positioning precision, and the calculation overhead is kept reasonable and balanced.

The invention provides a low earth orbit satellite communication initial time frequency offset estimation method, and belongs to the technical field of satellite communication. When satellite communication initial time-frequency offset estimation is carried out, initial time-frequency offset coarse estimation is firstly completed based on a first auxiliary synchronization signal, time-frequency offset coarse compensation is carried out on a received signal by using an estimation result, then initial time-frequency offset fine estimation is further completed based on a second synchronization signal, and the compensated signal is sent to a demodulation module for demodulation. The two-step time-frequency offset estimation method provided by the invention combines the advantages of the symmetric Chirp reference signal and the pseudo code sequence for time-frequency offset estimation, can realize rapid and accurate time-frequency offset estimation in a large-frequency offset scene, and improves the performance of a low-orbit satellite communication system.

The invention discloses an urban canyon positioning method and system fusing GNSS, vision and low orbit satellites, GNSS signals and images near a visual sign are collected in an urban canyon to serve as mapping points, and sign angular point coordinates are recorded; and analyzing to obtain a GNSS latitude and longitude list corresponding to each mark, and extracting LoFTR feature descriptors and storing the LoFTR feature descriptors in a map database. During positioning, firstly performing rough matching with the current position through the KNN, and then realizing fine positioning in the candidate area through LoFTR feature matching and homography matrix calculation; and if the matching fails, calculating a joint confidence coefficient based on the satellite PDOP / number, and estimating the current position through dynamic weighting by fusing Kalman filtering with a visual odometer. According to the method, a two-stage positioning strategy is adopted, GNSS and visual information are preferentially used for high-precision matching positioning, a fusion positioning mechanism based on low-orbit satellite joint confidence is started after failure, and the matching success rate and the positioning precision under the complex visual condition are improved.

The application provides a task scheduling and resource slicing method and system for a low-orbit satellite network, wherein the low-orbit satellite network receives a service request initiated by a terminal user; a current resource state set of each satellite is obtained, a task scheduling mechanism is constructed based on reinforcement learning to generate a task scheduling strategy according to a network state; a current resource allocation set of each satellite is obtained and a satellite resource slicing utility function is constructed; a resource slicing mechanism is constructed based on a heuristic algorithm, each satellite resource slicing candidate solution is regarded as a particle with the same electric charge, in one iteration, the fitness value of each candidate solution is calculated according to the utility function to perform evaluation, the candidate solution with a higher fitness value receives a higher electric charge, and the candidate solution with a lower fitness value receives a lower electric charge; the candidate solution is updated according to the optimal fitness value and the worst fitness value of the overall satellite, multiple iterations are performed to obtain an optimal solution, and a resource slicing strategy is generated. The method provided by the application can flexibly adjust resource allocation, improve processing efficiency and resource utilization.

The invention relates to the technical field of wireless communication, and provides a low-earth-orbit satellite link state management and optimization method, which comprises the following steps of: acquiring communication windows and signal intensities of different low-earth-orbit satellite links by adopting a link prediction method, and further judging whether the satellite links are available or not; when the satellite link is unavailable, a standby satellite is selected in advance, and the optimal switching opportunity is determined; the terminal selects the optimal frequency band for communication in real time according to the current link quality, the satellite signal strength and the interference condition, and dynamically allocates satellite frequency band bandwidth resources by adopting a dynamic frequency selection method; and adjusting a signal modulation mode and a coding rate according to the signal quality. According to the invention, the terminal can select the standby satellite in advance and complete seamless switching before the current link fails, so that the delay and interruption time of link switching are remarkably reduced. The utilization efficiency of spectrum resources is improved by adopting a dynamic frequency selection and bandwidth resource allocation technology, and the anti-interference capability of a communication link in a complex environment is enhanced.

The invention discloses an edge decision-making method and device for a low-earth-orbit satellite cluster, and relates to the technical field of communication and information, and the method comprises the steps: obtaining real-time state data uploaded by each satellite node in the low-earth-orbit satellite cluster based on a resource monitoring frequency and a data collection period, constructing a global resource view model of the low-orbit satellite cluster based on the real-time state data, generating a task priority queue according to a current task demand, and determining an optimal task allocation strategy according to the task priority queue and the global resource view model, and decomposing a to-be-processed task into a plurality of sub-tasks based on the optimal task allocation strategy, distributing the sub-tasks to corresponding satellite nodes, monitoring resource consumption and task completion progress of each satellite node in a task execution process, and triggering a dynamic adjustment mechanism to reallocate the tasks when resource conflicts or task congestion are detected. In this way, the technical problem that a low-orbit satellite is insufficient in adaptability to task scheduling decisions is solved.

The invention belongs to the technical field of satellite in-orbit management, and provides a low-orbit satellite inter-satellite cooperative planning execution method and system, and the method comprises the steps: planning an inter-satellite cooperative task, and transmitting an inter-satellite cooperative task package to a low-orbit satellite; the low-orbit satellites execute single-satellite inter-satellite cooperation tasks according to the inter-satellite cooperation task packages and the guiding information of the low-orbit satellites before the low-orbit satellites; and the low-orbit satellites send group guidance information to low-orbit rear satellites according to single-satellite inter-satellite cooperative task execution results. According to the method, a low-orbit multi-satellite inter-satellite collaborative architecture and an inter-satellite collaborative task planning method under information flow of the low-orbit multi-satellite inter-satellite collaborative architecture are established by disassembling a collaborative task execution division mechanism, a logic closed loop and a time closed loop which can meet the execution instruction chain time constraint and realize planning execution are considered, the preparation time for establishing a satellite working state can be effectively shortened, and the working efficiency of a satellite is improved. The efficiency of inter-satellite cooperation of the low-earth-orbit satellites is improved, and theoretical support and a systematic solution are provided for inter-satellite cooperation planning and execution of the low-earth-orbit satellites.

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 frequency offset estimation method and device, electronic equipment and a storage medium, and relates to the technical field of communication. The method comprises the following steps: receiving a baseband spread spectrum signal from a low earth orbit satellite to obtain a received signal; performing segmented sweep frequency compensation on the received signal to obtain a compensated measured signal; despreading and descrambling the compensated measured signal by using prior information determined from the received signal, and completing coarse frequency offset estimation on the measured signal despread and descrambled for the first time; and de-spreading and descrambling the signal data after the coarse frequency offset estimation again, and finishing fine frequency offset estimation on the signal data after the second time of de-spreading and descrambling. According to the invention, prior information is introduced to directly lock and track a specified target beam signal, so that the directionality and efficiency of measurement are remarkably improved; by designing a low-complexity signal processing flow, the algorithm burden can be remarkably reduced, it is ensured that adjacent satellite beam frequency offset estimation is rapidly completed in service proceeding, and the real-time requirement of seamless switching is met.

The invention provides a reinforcement learning-based low earth orbit satellite adaptive scheduling method and a related device, and relates to the technical field of satellite communication, and the method comprises the steps: obtaining the number of terminal equipment in a low earth orbit satellite coverage area, the current operation speed of a low earth orbit satellite and the current spatial position information in real time; constructing a system state vector based on the number of the terminal devices, the current operation speed and the current spatial position information; inputting the system state vector into a low earth orbit satellite operation control decision model based on reinforcement learning, and outputting a decision action vector; and dynamically adjusting the operation speed of the low earth orbit satellite according to the decision action vector, and intelligently regulating and controlling the operation speed of the low earth orbit satellite through a reinforcement learning-based low earth orbit satellite operation control decision model, thereby reducing the communication time delay, improving the system resource utilization rate and robustness, and effectively supporting the high real-time business demand.

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 method and system for low Earth orbit (LEO) satellite multiple access and communication using grating lobes is disclosed. The method may include: acquiring ephemeris data for a plurality of LEO satellites; predicting an orbital trajectory for each of the plurality of LEO satellites based on the ephemeris data; selecting target satellites using the predicted orbital trajectories; adjusting an antenna array to form grating lobes in the directions of the selected target satellites; and transmitting and receiving data with the target satellites using the adjusted antenna array.

The invention belongs to the technical field of satellite communication and edge intelligent fusion, and relates to a low earth orbit satellite collaborative federated learning air aggregation system and a joint scheduling method, comprising: a plurality of static ground equipment terminals, a constellation network composed of a plurality of multi-beam low earth orbit (LEO) satellites, a ground data processing center, and a data processing center. The static ground equipment terminal is in communication connection with the multi-beam low-orbit satellite, and the satellite is in communication connection with the ground data processing center through a gateway; global model training is completed through a double-layer air aggregation mechanism of equipment terminal-LEO satellite-data processing center, an optimization model is constructed, a wave beam hopping mode, terminal transmitting power and a receiving end normalization factor are jointly optimized, a loss function of the training model is minimized, an air aggregation error is taken as a constraint, and the overall performance of the device terminal-LEO satellite-data processing center is improved. Adaptive scheduling is realized through deep reinforcement learning; according to the method, the multi-device cooperative training efficiency can be remarkably improved, and efficient federal learning of large-scale distributed devices is achieved.

The invention provides an integrated antenna integrating Beidou, low-orbit and Tiantong satellite communication and high-precision navigation positioning. A low-orbit satellite microstrip antenna, a GNSS high-precision microstrip antenna, a Tiantong microstrip antenna and a Beidou short message microstrip antenna are sequentially stacked on the upper surface of a PCB in a conical mode. A shielding cover is arranged on the lower side of the PCB; antenna radiation patches of the low-orbit satellite microstrip antenna are arranged on the outer edges of the upper surface and the lower surface of the low-orbit satellite antenna substrate and are not covered by the GNSS high-precision microstrip antenna; circuits of the low-orbit satellite microstrip antenna and the sky-pass microstrip antenna are arranged on the upper surface of the PCB circuit substrate. And circuits of the GNSS high-precision microstrip antenna and the Beidou short message microstrip antenna are arranged on the lower surface of the PCB. According to the invention, the four-in-one combined design of the antenna, the low-orbit satellite antenna, the Beidou short message antenna and the high-precision navigation antenna is adopted, so that the problem of performance insufficiency when each antenna is used independently is solved, complementation among the antenna, the low-orbit satellite antenna, the Beidou short message antenna and the high-precision navigation antenna is realized, and the cost is reduced; the electromagnetic compatibility between the antennas is improved through frequency band and polarization isolation design, and the stability of a communication link is guaranteed through interference resistance of the peripheral low-orbit satellite antenna.

Disclosed in the present invention is a handover method for satellite base stations of a low earth orbit satellite mobile network. The method comprises: a source satellite base station being connected to a UE sending a handover request to a target satellite base station; upon receiving the handover request, the target satellite base station performing handover preparation, and sending handover acknowledgement to the source satellite base station, and the source satellite base station receiving the handover acknowledgement; the source satellite base station notifying the UE connected thereto of a handover decision, the UE disconnecting from the source satellite base station and establishing a new RRC connection with the target satellite base station; and the source satellite base station and the target satellite base station transmitting synchronous data. The handover preparation comprises pre-allocating channel resources. By means of a rapid handover method introduced into a satellite mobile network, the present invention calculates the position of a satellite on the basis of ephemeris, so as to predict the occurrence of handover on a user side, thereby significantly reducing handover latency for users in this scenario.

The invention provides a low-orbit satellite planning method which can be applied to the technical field of satellite observation task planning. The method comprises the following steps: predicting a potential activity area of a target in a planning time interval based on multi-satellite collaborative observation information; mesh generation is carried out on the potential activity area, and a target motion potential area mesh set is constructed; calculating the existence probability of the target in each grid; selecting satellite resources meeting conditions, and determining available satellites in combination with the observation time interval and the potential activity area; determining an intersection part of a satellite observable area and a potential activity area, and constructing a satellite candidate observation area set; calculating a profit value of each candidate observation area based on the existence probability of the target in each grid and the coverage condition of the satellite candidate observation area; selecting the satellite observation area strip with the maximum profit value through iterative calculation, and obtaining the optimal solution of the multi-satellite observation profit; and generating a multi-satellite collaborative observation planning scheme according to all the determined satellite observation areas.

The invention provides an SRv6-based flow transmission method for a low earth orbit satellite constellation. The method comprises the following steps: determining a satellite constellation head node and a satellite constellation tail node according to a source gateway station and a target gateway station; the method comprises the following steps: configuring an SID of an End-SPA type at a source gateway station; a satellite of the current next hop is used as a head node, an SRv6 Policy path conforming to a link SLA is calculated according to a satellite topo at the current moment, and a BSID associated with the End-SPA is configured to be drained into the SRv6 Policy path; and forwarding the traffic. According to the traffic transmission method, cross-domain data transmission under large-scale constellation networking can be realized, and the calculation pressure is reduced.

The invention relates to an unmanned aerial vehicle high-precision positioning method based on micro-centimeter space low-orbit constellation and Beidou PPP-B2b fusion enhancement, and the method comprises the steps: obtaining a precise orbit correction number and a precise clock correction number of a GPS and a BDS system based on a Beidou PPP-B2b signal; calculating a precise orbit and a precise clock error of the GNSS satellite based on the precise orbit correction and the precise clock error correction; on the basis of the precise orbit and the precise clock error of the GNSS satellite, an observation value of a micro-centispace low-orbit satellite is fused, and a GNSS / LEO combined PPP observation model is constructed; and based on extended Kalman filtering, precise point positioning calculation is carried out on the GNSS / LEO combined PPP observation model, and the real-time high-precision position of the unmanned aerial vehicle is obtained. According to the invention, the real-time high-precision position of the unmanned aerial vehicle can be rapidly and stably obtained, and a reliable position reference is provided for autonomous operation of the unmanned aerial vehicle in a network-free environment.