4239 results about "Satellite" patented technology

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

The invention discloses a method for judging an RTK abnormal value in an automatic driving integrated navigation system, and relates to the technical field of automatic driving high-precision integrated navigation, and the method comprises the steps: collecting RTK observation data, inertial measurement unit data, a wheel speed pulse signal and LiDAR point cloud data, carrying out timestamp alignment and coordinate system unification, and generating a fusion data value; calculating a carrier-to-noise ratio weight signal quality index of the satellite through the fused data value, and generating a signal quality report; and combining the signal quality report, the current satellite geometric accuracy factor and the vehicle motion acceleration, calculating a residual threshold, constructing a coriolis force compensated double-integral prediction model by using inertial measurement unit data, and predicting the position of the vehicle at the current moment. According to the method, multi-dimensional features such as satellite signal quality, vehicle motion state and residual analysis are fused through multi-source decision, and the anomaly detection capability of complex scenes such as urban canyons is effectively improved.

The invention relates to a multi-source data fusion rainfall revision model construction method based on dynamic physical constraints, and belongs to the technical field of artificial intelligence and meteorology and hydrology crossing. The method comprises the steps that multi-source heterogeneous data such as satellites, reanalysis, sites and terrains are acquired and fused, and a standardized space-time sample set is constructed; constructing a special deep learning network comprising a double-flow encoder, a cross-scale physical attention fusion module and a decoder; constructing a composite loss function fusing data fidelity, terrain uplift constraint and wind field advection constraint; designing a dynamic constraint gating mechanism, and adaptively adjusting a physical constraint weight according to a real-time atmospheric state; and a high-precision precipitation revision model is obtained by optimizing the composite loss function training network. According to the method, the key physical process is embedded into the model in a dynamic adjustable mode, the problems that a traditional method is poor in physical consistency and generalization ability are solved, and a revised precipitation field which is physically reasonable and higher in precision can be generated under complex terrains and changeable weather.

The invention belongs to the technical field of ocean surface flow velocity remote sensing measurement, and particularly relates to a Luoga No.2 SAR (Synthetic Aperture Radar) flow velocity correction method based on Bragg orbit velocity, which comprises the following steps of: verifying the physical correctness of an orbit velocity mechanism relative to a phase velocity mechanism; under a DopRIM framework, a physically consistent sea wave error correction model is established; calibrating parameters of the sea wave error correction model; applying the calibrated sea wave error correction model to along-orbit interference SAR observation data of the Luoma No. 2 satellite, and calculating the radial surface flow velocity and sea wave error of each resolution unit; comparing an output result with a matched reference truth value to evaluate the effectiveness of the sea wave error correction model; comparing the sea wave error correction model with a KaDOP model, and respectively counting and analyzing simulated sea wave errors under different methods; the sea wave error simulation result is visually displayed, and the improvement effect is quantitatively evaluated through in-situ observation data and a KaDOP simulation result.

The invention discloses a low earth orbit satellite network digital twin drive switching optimization method and system, and relates to the technical field of inter-satellite communication, and the method comprises the steps: building a digital twin system which is synchronously evolved with a physical LEO satellite network; predicting the link quality between each candidate satellite and the user terminal in a future time window based on a digital twin system; dividing a time window into a plurality of continuous time slices, constructing a directed weighted dynamic graph model which takes a satellite-time slice as a node and takes link comprehensive utility cost as an edge weight, and searching an optimal path in the directed weighted dynamic graph model by utilizing a shortest path algorithm so as to determine an optimal switching opportunity and a target satellite sequence; the optimal switching strategy is issued to a user terminal to be executed, and a link quality prediction result is corrected in real time through a feedback mechanism of the digital twin system to form closed-loop optimization; the method can effectively meet differentiated service quality requirements in a multi-service scene, and is suitable for a high-dynamic LEO satellite communication system.

The invention discloses a multi-mode fusion time service method and system based on dynamic calibration of DCP equipment. The method comprises the following steps: completing initial time reference data acquisition based on a multi-mode satellite signal; meanwhile, time data of a ground time service network are collected, and motion parameters of DCP equipment are monitored in real time through an inertial navigation unit; establishing a correlation model of the motion parameter and the time service error; quantitative analysis of error sources is completed based on the correlation model; fusing the multi-source time data; dynamically adjusting the fusion weight of each data source according to the real-time motion state of the DCP equipment; redundant time slots are automatically distributed to high-error equipment; outputting the calibrated time signal to DCP equipment through an interface to complete clock synchronization; and continuously monitoring the time deviation of the DCP equipment, and dynamically updating the calibration parameters to form closed-loop optimization. And the environmental adaptability and the precision stability of the timing system are improved.

The invention discloses a regional GPP assimilation inversion system fusing foundation-multi-source satellite chlorophyll fluorescence, and belongs to the technical field of terrestrial ecosystem carbon cycle monitoring. The signal unmixing and simulation generation module is used for unmixing the total fluorescence of the mixed pixels into pure chlorophyll fluorescence (SIF) and driving an ecological model to generate SIF and GPP simulation values based on environmental stress data; the state component decoupling module is used for decoupling the total GPP analog value into a light response fast component, a light response slow component and a light response memory component; the state evolution prediction module is used for predicting dynamic evolution of the slow component and the memory component; and the self-adaptive assimilation inversion module is used for performing inversion on the region GPP by taking the slow component and the memory component as state variables, taking the SIF observation value as observation data and combining a prediction result of the state evolution prediction module. According to the method, systematic deviation caused by model simplification or data singleness in a traditional method is overcome.

The invention discloses a power distribution network fault positioning method and device based on a satellite time service inverter, and belongs to the technical field of power system fault diagnosis, and the method comprises the steps: obtaining a time service signal of a satellite navigation system, decoding the time service signal to generate a unified space-time reference, distributing the unified space-time reference to a plurality of inverter nodes in a power distribution network, and forming a cooperative measurement network; a coding sequence current signal is injected into a power distribution network line through a master control inverter node; synchronously acquiring response voltage traveling wave data by each inverter node, performing cross-correlation analysis on the response voltage traveling wave data and the coded sequence current signal, and extracting propagation time delay of each inverter node; and correcting the reference line wave velocity by using the current line parameters and the current meteorological data, and calculating fault point position data in combination with propagation time delay. According to the method, an inverter cooperative measurement network is constructed by using satellite time service, a coding sequence current signal is actively injected, and a real-time wave velocity is corrected by combining an intelligent model, so that rapid, accurate and high-reliability positioning of a power distribution network fault can be realized.

The invention provides a wireless resource scheduling method and device used in a scene in which a mobile phone is directly connected with a satellite, and relates to the technical field of satellite communication, and the method comprises the steps: constructing an electromagnetic map which represents the corresponding relation of a geographic position, a physical resource block and ground interference power in a satellite beam coverage area; link budgeting is carried out on the multiple user terminals in combination with the real-time orbit geometric parameters of the satellite and the electromagnetic map, and the signal to interference plus noise ratio of each user terminal on each physical resource block is predicted; based on the predicted signal to interference plus noise ratio, adopting a proportional fair marginal gain greedy algorithm to allocate an optimal continuous spectrum resource block for each user terminal; on the allocated spectrum resources, optimizing and reallocating the total transmitting power of the satellites by adopting a water injection algorithm; and a final spectrum-power joint scheduling scheme is generated, and subsequent link self-adaption and data transmission are guided. According to the invention, the spectrum efficiency, throughput and connection stability of the system are obviously improved.

The invention discloses a safe operation system and a safe operation method of a space-ground integrated rescue vehicle, which are used for the rescue vehicle working in a complex disaster environment and ensure stable and reliable two-way communication connection between the rescue vehicle and a command center by establishing an intelligent switching mechanism of a low-orbit satellite main link and a ground network standby link. Real-time transmission of key instructions and field information is guaranteed, and a foundation is laid for safe operation. Advanced risk early warning is achieved through a space-ground cooperation mechanism, dynamic decision making and path planning are carried out by integrating satellite information and local sensor data, and the global adaptive capacity of the rescue vehicle to the complex disaster environment is improved. Satellite pre-sensing information is combined with a local decision, and a pre-control instruction is generated to act on a drive-by-wire chassis, so that the rescue vehicle can smoothly deal with hidden or developmental risks in advance, and the driving safety and stability are improved.

A routing method for supporting differential service requirements in a satellite internet comprises the following steps: step 1, constructing multi-dimensional network state perception as a base layer which is responsible for collecting and quantifying physical states and logic states of a satellite network in real time, and obtaining objective network states and subjective QoS (Quality of Service) requirements of services; 2, generating a nonlinear adaptive weight driven by a service as a strategy layer, mapping an objective network state and a subjective QoS (Quality of Service) demand of the service, dynamically adjusting the value orientation of routing judgment, and generating a dynamic weight; and step 3, taking the dynamic cost routing decision as an execution layer, calculating the comprehensive cost based on the dynamic weight, and executing next hop selection and path maintenance, and through cooperative work of the dynamic cost routing decision, the comprehensive cost and the next hop selection and path maintenance, realizing intelligent path selection and high-reliability transmission for different service flows in a high-dynamic and resource-limited environment of the low-orbit satellite. According to the invention, while the routing computation overhead is effectively reduced, multiple requirements of differentiated services on low time delay and high reliability can be considered.

The invention discloses an aeronautical ice accretion identification method based on multi-source data, which solves the coverage blind area of a single data source (mode / satellite) through multi-source data fusion processing, improves the integrity of a three-dimensional space, and further establishes a scene classification foundation through cloud layer structure identification and accurate division of a cloud area / a precipitation area. Through membership function construction processing, a nonlinear relation between meteorological elements and icing is quantified, and a traditional threshold value method is replaced; furthermore, through physical scene classification processing, single-layer cloud / multi-layer cloud / freezing water freezing mechanisms are distinguished, and misjudgment is avoided; through initial index calculation, CTTmap is dynamically adjusted according to different scenes, and satellite detection deviation is corrected; finally, through dynamic index correction processing, vertical motion, supercooled water and a real-time report are introduced, and result self-adaptive optimization is achieved.

The invention discloses a causal reasoning-based satellite-ground collaborative remote sensing image interpretation method and device, relates to the technical field of remote sensing image processing, and mainly aims to solve the problem that the inference requirement of environmental causes in a remote sensing image cannot be met in the prior art. Comprising the following steps: a ground end obtains initial interpretation features obtained by performing initial interpretation on multi-modal remote sensing data by a satellite-borne end, and interprets the initial interpretation features based on a first interpretation model of which model training is completed to obtain core interpretation features; determining causal variables based on the core interpretation features, and constructing a causal variable graph based on the causal variables; determining a cause label and an interpretation result of the label area according to the causal variable graph, and obtaining a verification result corresponding to the cause label and the interpretation result; and based on the knowledge distillation and the verification result, determining learning core features of the first interpretation model for updating training, so that a second interpretation model in the satellite-borne end coordinates the learning core features fed back based on the ground end.

The invention discloses an unmanned aerial vehicle inspection system prototype verification method and system based on low orbit satellite communication, and the method comprises the steps: collecting complex terrain parameters, building an end edge cloud satellite full-link basic environment, and outputting deployment topology and environment features; verifying plug and play and fault self-recovery of the heterogeneous terminal, and outputting an anti-interference communication baseline; quantizing link performance of satellite-ground communication in an extreme scene, and outputting link performance quality; checking the reliability of the most core data uploading and instruction downlink performance of the system; a communication capability and an interaction function are integrated, and the unattended closed-loop mode response capability executed by the satellite return cloud analysis terminal is tested; and injecting a multi-mode failure scene and a limit load, verifying the survivability and the security boundary of the whole link, and outputting a verification report. According to the invention, through a multi-dimensional verification process, the cooperative work reliability of the remote intelligent inspection terminal and the low-orbit satellite communication system is ensured, and the effectiveness of a closed-loop inspection mode in a complex scene is verified.

The invention provides an offshore ship suspicious navigation behavior identification method and system, and the method comprises the steps: collecting AIS, radar, satellite and other multi-source data of a ship in a target sea area, and carrying out the data cleaning, fusion and standardization preprocessing; extracting navigation features, staying features, mode features and interaction features of the ship, constructing a behavior recognition model based on a neural network, inputting ship features, and then outputting a recognition result and confidence; and judging result validity through a confidence coefficient threshold value of dynamic calculation, triggering artificial review or multi-source data secondary verification through an invalid result, generating early warning information when a valid suspicious behavior is identified, calculating a risk value in combination with a ship type, a behavior severity degree and an environmental impact factor, and matching a pre-constructed decision library to generate a decision suggestion. According to the method, the recognition precision is improved through multi-source data fusion and an intelligent model, and real-time and efficient monitoring and response to suspicious navigation behaviors are realized in combination with a confidence coefficient mechanism and risk decision support.

The invention relates to the technical field of forest fire prevention, in particular to an infrared image forest fire point early recognition method based on space-time analysis, which comprises four steps of infrared image sequence continuous acquisition, moving target detection, moving target feature analysis and fire point judgment and result generation. Acquiring an infrared image sequence of the forest area by using an infrared sensor carried by an unmanned aerial vehicle or a satellite; differential processing is carried out through a frame difference method, and a moving target is extracted in combination with morphological operation; calculating the distinction degree of the moving target and the background based on the gray features, and screening possible fire point targets; the fire point is regarded as a singular attractor in a dynamic system, a space-time state space is constructed, dynamic characteristics of the space-time state space are analyzed for discrimination, a dynamic system theory and a multi-time-scale analysis framework are innovatively introduced, the early fire point can be accurately recognized, the development trend of the early fire point can be predicted, the recognition accuracy is remarkably improved, and the method is suitable for popularization and application. And a scientific basis is provided for timely intervention.

The invention discloses a satellite-ground cooperative processing method and system based on edge computing, and the method comprises the steps: constructing a satellite-ground integrated cloud edge-end cooperative architecture which comprises a satellite terminal layer, a ground edge layer and a cloud computing layer, connecting a satellite end with a ground cloud center through a distributed foundation edge service station, and achieving the unified scheduling of satellite-ground resources and task cooperation; establishing a task processing position decision model based on task data volume, link bandwidth and computing power, dynamically selecting a satellite end, an edge station or a cloud center for processing in combination with response time constraint and energy consumption cost, and optimizing time delay and energy consumption; the method comprises the following steps: constructing a geoscience sky intelligent learning framework, performing ground center offline training to optimize a deep learning model, performing pruning quantification to generate a lightweight model, issuing the lightweight model to a satellite end, performing on-line reasoning by the satellite end, and collecting and returning data to form a closed-loop learning process; an offline-online cooperation mode is introduced, high-real-time tasks are preferentially processed online, non-real-time tasks are cached and downloaded in batches, and a strategy is dynamically adjusted to improve the system efficiency and the resource utilization rate.

The invention relates to the technical field of satellite routing, and discloses a spatial three-dimensional satellite routing method, device and system, and the method comprises the steps: constructing a spatial satellite network based on LEO, MEO and GEO three-layer satellite nodes; performing orbit mechanical prediction calculation based on a space satellite network to obtain a link state prediction matrix; inputting the link state prediction matrix into a spatial position coding processor for processing to obtain a spatial time-varying routing graph; generating a routing strategy of the satellite nodes based on the space time-varying routing graph; according to the method, global optimization of end-to-end time delay and energy consumption is achieved under the condition that the network capacity and the link availability are met, and then the cross-track data transmission efficiency is improved.

The invention discloses a satellite beam scanning scheduling method and device for preventing same-frequency interference and a storage medium. The method belongs to the field of satellite communication, and comprises the following steps: determining sub-bands respectively adapted to a plurality of beams of a satellite; initializing a particle swarm, wherein each element of a particle vector of the particle swarm indicates a beam position scanned by each beam of the satellite in each beam hopping time slot of a beam hopping period through different numerical intervals; a fitness function is constructed, and the function value of the fitness function is related to the severity of the same-frequency interference in the satellite coverage area; performing iterative optimization on the particle swarm according to a particle swarm optimization algorithm, and determining an optimal particle vector; and according to the optimal particle vector, determining the beam position scanned by each beam in each beam hopping time slot of the beam hopping period. According to the invention, by optimizing the beam position scanning scheduling scheme of the beam in the beam hopping period, the coverage overlapping and signal cross interference of adjacent same-frequency sub-beams are effectively avoided.

The invention belongs to the technical field of navigation satellite clock correction forecasting, and discloses a navigation satellite clock correction forecasting method based on inter-satellite measurement and a related device. The navigation satellite clock error forecasting method comprises the following steps: acquiring a navigation satellite clock error; based on the navigation satellite clock error, establishing a clock error forecast combination model; based on the clock correction prediction combination model, obtaining a navigation satellite clock correction prediction result of a selected time period in the future; wherein in the process of establishing the clock error forecasting combination model, trend term modeling is firstly carried out by using a quadratic polynomial, then periodic term modeling is carried out on residual data by using a Lomb-Scargle spectrum analysis method, and finally, trend term modeling and periodic term modeling results are linearly superposed to obtain the final clock error forecasting combination model. According to the technical scheme disclosed by the invention, satellite clock correction prediction can be supported when the navigation satellite operates autonomously or the ground operation and control service is interrupted, and meanwhile, the clock correction performance of the system in an autonomous operation mode can be improved.

The invention relates to the technical field of low earth orbit satellite communication, and provides a low earth orbit satellite trunking communication group calling method, device and system. The low-earth-orbit satellite cluster communication group calling method comprises the following steps: determining coverage satellites corresponding to ground positions and satellite coverage time periods according to sub-satellite point trajectories of the low-earth-orbit satellites; clustering the satellite terminals according to the positions to obtain a terminal cluster corresponding to each terminal group and a cluster representative position; determining each target terminal cluster corresponding to the target terminal group and a target cluster representative position under the condition of sending a group calling instruction for the target terminal group; determining target low-orbit satellites corresponding to the target terminal clusters according to the coverage satellites corresponding to the ground positions and the satellite coverage time periods; and determining a target paging beam of the target low-orbit satellite, and paging each satellite terminal in each target terminal cluster through each target low-orbit satellite and the target paging beam. The method is beneficial to reducing the computing power consumption and improving the group calling efficiency.

The invention belongs to the technical field of fault positioning, and discloses a Beidou satellite time service-based power distribution network fault section positioning method, which comprises the following steps of: acquiring three-phase current, and performing phase synchronization alignment on the three-phase current by using a Beidou satellite to obtain a three-phase current synchronization data sequence; performing modulus transformation on the three-phase current synchronous data sequence to obtain a zero-mode current component and a line-mode current component; performing adaptive waveform decomposition on the zero mode current component and the line mode current component to obtain an intrinsic mode component, and performing signal reconstruction on a target component to obtain an enhanced fault traveling wave signal; performing waveform curvature sudden change detection on the enhanced fault traveling wave signal to obtain a wave head arrival time and a time difference observation sequence; performing geometric analysis on the topological structure based on the time difference observation sequence and the traveling wave propagation speed to obtain a suspected fault section; and comprehensively studying and judging the suspected fault section to obtain an actual fault section. The power distribution network fault positioning efficiency can be improved.

The invention provides a multi-satellite collaborative regional target observation scheduling method based on stripe coverage and ant colony improvement, and relates to the field of multi-satellite collaborative observation. According to the method, firstly, a to-be-observed task list and satellite resources are obtained, and a task conflict matrix is constructed; secondly, performing discretization processing on the regional target based on the task conflict matrix, and generating a stripe coverage scheme and a stripe priority; thirdly, generating a multi-satellite cooperative task allocation scheme by adopting a self-adaptive ant colony task allocation algorithm; thirdly, generating an optimization target based on the stripe priority and a multi-satellite cooperative task allocation scheme, and constructing a scheduling decision model in combination with an energy constraint, a time window constraint and a task unique execution constraint; and finally, solving the scheduling decision model by using an improved branch and bound algorithm, and obtaining a global optimal solution for deciding whether each satellite observes a task or not at different moments. According to the invention, by improving the ant colony algorithm and the dynamic stripe coverage strategy, the task execution efficiency and the resource utilization rate of multi-satellite collaborative observation are significantly improved.

The embodiment of the invention provides a satellite communication and navigation integrated system, which comprises a baseband subsystem and a processor subsystem, the baseband subsystem comprises a front-end processing module, a low-orbit communication module, a navigation processing module and a decoder module, the front-end processing module is configured to preprocess an acquired satellite signal and output a baseband signal, and the decoder module is configured to decode the baseband signal. The baseband signal comprises a navigation signal and a low-orbit communication signal; the navigation processing module is configured to process the navigation signal to obtain a first target signal; the low-orbit communication module is configured to perform signal processing on the low-orbit communication signal to obtain a second target signal; the decoder module is configured to decode the first target signal and the second target signal to obtain navigation data and communication data; and the processor subsystem is configured to perform resource scheduling on the front-end processing module, the navigation processing module, the low-orbit communication module and the decoder module based on the navigation data and the communication data. According to the invention, the integrated requirement of the navigation chip on navigation and communication can be realized.

A heat balance optimal satellite sun orientation control method comprises the following steps: firstly, determining sun orientation target parameters according to a sun vector direction calculated by an orbit, using preset sun orientation target parameters when regular preset parameters are set, and then calculating a sun orientation target attitude angle and angular velocity by using a formula provided by the method, and finally, the sun orientation of the satellite to the target attitude angle and angular velocity is realized according to the measurement of the terahertz gyroscope and the plane control of the jet phase.

The invention relates to the technical field of satellite attitude control, in particular to a satellite-borne laser semi-autonomous pointing control method, electronic equipment and a storage medium. The method is completed by cooperation of a ground system and an on-satellite system, the ground system calculates a top target passing moment T * in advance, generates a unified laser pointing control instruction and injects the instruction into a satellite; and the satellite-borne system receives and analyzes the instruction, obtains parameters such as T * and beam selection, and then autonomously controls a specified load for work preparation. And the satellite-borne system autonomously calculates the optimal moment T1 and the target attitude when passing through the calibration field through high-precision orbit extrapolation based on the latest navigation data, finally autonomously executes attitude maneuver and laser pointing tasks, and autonomously returns after the tasks are completed. Instructions in a uniform format are generated and injected from the ground, ground operation is greatly simplified, efficient cooperation of ground decision triggering and on-satellite autonomous execution is achieved, pointing errors caused by orbit extrapolation are greatly reduced, the pointing precision and the task success rate are improved, and universality is good.

The invention discloses a satellite attitude system anti-interference finite time control method under complex dynamic disturbance, and the method comprises the steps: building a rigid satellite attitude maneuver control model according to satellite attitude dynamics and kinematics equations; designing a self-adaptive fine disturbance observer to estimate the total disturbance of a satellite attitude system by combining the influence of the external disturbance variable on the rigid satellite attitude maneuver process, and outputting an estimated value of the external disturbance variable; a three-stage segmented sliding mode control method is designed, dynamic continuity of a three-stage sliding mode is ensured, and segmented sliding mode control output is obtained; and compensating the segmented sliding mode control output by using an estimated value of an external disturbance variable output by a self-adaptive fine disturbance observer to realize satellite attitude stable control. According to the method, the problem that the stability of the satellite is reduced in the attitude maneuvering performance process when external disturbance exists is solved, better observation performance and shorter attitude stabilization time are achieved, and the control precision of the satellite is effectively improved.

The invention relates to a hybrid task-driven satellite group autonomous task planning thermodynamic diagram generation and updating method, and relates to the field of multi-satellite task planning. The method comprises the following steps: inputting initial data containing a static task and a dynamic task and generating an initial thermodynamic diagram; periodically and autonomously updating the thermodynamic diagram by adopting a time-driven method according to the updating time period; a planning result is generated from the thermodynamic diagram through a task planning method and executed by a satellite; respectively inputting the static task execution result, the dynamic task execution result after target association fusion and the new task into an event-driven thermodynamic diagram updating method for updating; and finally, re-inputting an updating result into the task planning to form a closed loop. According to the method, a unified task driving input and decision reference model is provided for satellite-borne task collaborative decision through the thermodynamic diagram, time driving and event driving are combined, automation and intelligence of satellite group task planning are achieved, and the planning efficiency and the system self-adaptive capacity are remarkably improved.

The invention discloses a global ionosphere modeling method and device based on Beidou single-frequency ionosphere weighted PPP, and belongs to the technical field of GNSS navigation positioning and atmosphere modeling. The method comprises the following steps: acquiring real-time precise orbit and clock error information of a Beidou satellite and an initial ionospheric delay correction value; a single-frequency ionosphere weighted precision single point positioning (SF-IW-PPP) observation equation is constructed; establishing a space-time correlation constraint model of the ionized layer delay error and determining a prior variance; carrying out combined calculation by taking the previous variance as a constraint to obtain an ionosphere delay residual error, and further obtaining the total delay of the high-precision inclined ionosphere; and finally generating a global ionosphere grid model. According to the invention, high-precision and real-time global ionosphere modeling is realized by only needing a low-cost single-frequency receiver and combining Beidou real-time enhancement service, the hardware threshold and data processing delay are remarkably reduced, and the method is suitable for the fields of public navigation, intelligent transportation, space weather monitoring and the like.

The invention discloses a GNSS (Global Navigation Satellite System) signal spoofing detection method, device and equipment, a storage medium and a program product. The method comprises the following steps: tracking and monitoring a plurality of GNSS satellite signals, calling a tracking loop correlator to carry out autocorrelation operation to obtain the autocorrelation power of each satellite signal, constructing the AP detection quantity of each satellite signal based on the autocorrelation power, verifying the Gaussian property of the AP detection quantity, and carrying out moving average filtering processing on the AP detection quantity conforming to Gaussian distribution to obtain the AP detection quantity of each satellite signal. The method comprises the following steps: acquiring Gaussian distribution characteristic information of a GNSS satellite signal, constructing an AP-MA detection quantity, determining a detection threshold according to the Gaussian distribution characteristic information, detecting the AP-MA detection quantity based on the detection threshold, and judging whether the GNSS satellite signal has deception jamming or not; the AP detection quantity is constructed based on the self-correlation power to carry out signal spoofing detection, so that the detection range and the detection precision are effectively improved, and the timeliness and the stability of spoofing detection are ensured under the condition of not increasing additional equipment and algorithm complexity.