721 results about "Constellation" patented technology

The invention provides a satellite group task planning method and system based on a fine tuning large language model, and relates to the technical field of satellite group task planning. The task planning method comprises the following steps: processing a task planning request through a constraint analysis-tagging large language model to obtain a structured sample containing question definition, a reasoning process and a final answer; processing the structured sample through a pre-trained large language model oriented to satellite task planning domain knowledge alignment to obtain a preliminary satellite task planning scheme; and finally, carrying out iterative optimization on the preliminary satellite task planning scheme by utilizing a heuristic dynamic tuning framework to obtain a large-scale satellite group task planning scheme. According to the method, the problem of large-scale satellite group task planning is solved by utilizing the logical reasoning ability of a large language model, satellite task planning domain knowledge fine tuning is performed through satellite task planning fine tuning data based on a thinking chain, and a large-scale satellite group task planning scheme is efficiently generated with high quality in combination with a heuristic dynamic tuning framework.

The deep joint source channel coding method comprises the following steps: a sending end obtains a first semantic feature of a first image, and performs constellation mapping modulation on the first semantic feature to obtain a first initial constellation point; the sending end extracts semantic information of the first initial constellation point, generates a rotation angle corresponding to the semantic information, and rotates the first initial constellation point according to the rotation angle to obtain a first rotation constellation point; the sending end generates a real part interleaving matrix and an imaginary part interleaving matrix based on the first rotating constellation point and the real part and the imaginary part of the channel state information, resorts the real part and the imaginary part of the symbol sequence respectively and then recombines the real part and the imaginary part into a complex signal to obtain a first interleaving signal; the sending end transmits the first interleaved signal to a receiving end through a fading channel, and the receiving end receives a second interleaved signal; the receiving end performs semantic reconstruction decoding on the second interleaved signal to obtain a second image; or, the receiving end performs semantic classification decoding on the second interlaced signal to obtain a second image category.

The invention provides a large-scale constellation earth observation task planning method and device, and belongs to the technical field of satellite task planning. According to the embodiment of the invention, a large-scale constellation earth observation task problem is divided into a multi-satellite-cluster cluster allocation problem and a single-satellite-cluster cluster autonomous task planning problem, and the improved adaptive large neighborhood search algorithm fused with tabu search is adopted to allocate the large-scale constellation earth observation tasks to different satellite clusters. And then, multi-satellite task planning in a satellite cluster is realized by adopting a satellite cluster autonomous task planning algorithm based on an extended contract network mechanism. Therefore, the dimension reduction of the problem scale can be realized, the search space can be greatly reduced, the solving efficiency can be improved, the cooperative capability between satellites in the satellite cluster can be improved, and especially in the scene of satellite damage and interference, the anti-interference capability and cooperative completion efficiency of the task can be improved, and the robustness and reliability of task planning can be ensured.

The invention relates to the technical field of large-scale constellation task planning, in particular to a large-scale constellation efficient cooperative task planning method based on hierarchical reinforcement learning, which comprises the following steps: constructing a large-scale constellation task planning model; performing end-to-end collaborative planning on a multi-satellite task allocation problem and a single-satellite task scheduling problem based on hierarchical reinforcement learning, including task allocation based on Monte Carlo tree search and task scheduling based on Transform architecture; setting a task distribution model and a task scheduling model, and inputting the task information into a task distribution module to obtain a distribution result; and calculating task scheduling information of each satellite according to the distribution result, inputting the task scheduling information into a task scheduling module, and obtaining a scheduling result through the task scheduling module. According to the method, efficient planning of large-scale constellation tasks is realized, the optimization target can be coupled, the solution complexity is reduced, the global optimality of the solution is ensured, and the solution efficiency is improved.

A systema and method for atmospheric anomaly detection is disclosed. The method may include performing a time synching between a network of ground-based nodes and a plurality of satellites of a constellation. The method may include directing a transmission of signals between the network and the plurality of satellites, where the signals are configured to be aimed along a plurality of paths through an atmospheric space between the network and the satellites. The method may also include receiving and aggregating signal data corresponding to the signals via at least one of the network or the satellites, determining signal characteristics based on the signal data, identifying one or more atmospheric anomalies based on the signal characteristics, and adjusting a flight plan based on the one or more atmospheric anomalies.

The invention provides a low orbit constellation autonomous time synchronization method based on a Ka inter-satellite link, and relates to the field of satellite navigation and time frequency transmission, and the method comprises the steps: obtaining a Ka wave band standard timestamp signal of a ground station, and carrying out the taming of a satellite clock, and obtaining a constellation initial anchor node; carrying out distance measurement in two directions by using time division multiplexing, and correcting motion time delay to obtain corrected inter-satellite clock difference data; carrying out clock error data fusion, inhibiting long-term drift, and generating a constellation unified time scale; based on the constellation unified time scale, topology dynamic optimization is carried out, and an optimized network topology is obtained; kalman filtering and polynomial prediction are utilized to maintain a time reference, and an LSTM neural network is combined to predict frequency drift change, so that an autonomous time keeping result is obtained; and verifying an abnormal clock error through majority voting of adjacent nodes, and if the voting fails, isolating a fault and reversely calculating a recovery value. The method is used for overcoming the defect that fiber time frequency transmission in the prior art is limited by ground fixed facilities and cannot be applied to inter-satellite scenes.

The invention provides a low-orbit forward scattering detection method and system and a medium. Comprising the steps that a low-orbit forward scattering detection model based on Walker constellation configuration is constructed, each satellite and a receiver form a detection unit, and after an aerial target is excited by a radiation signal of a satellite group {}, if the kth detection unit meets a bistatic angle, according to the Cavalieri principle and a signal-to-noise ratio threshold condition, the kth detection unit meets the bistatic angle; determining a real effective coverage ratio meeting a geometric constraint condition and a detectable elevation threshold meeting a power constraint condition; an effective detection window is formed in the shadow cone unit based on the true effective coverage ratio and the detectable elevation threshold, and low-orbit forward scattering detection is performed. According to the method, the detection performance of the low-orbit forward scattering detection system under the conditions of different satellite numbers, different detection wavelengths and the like is analyzed, and theoretical support is provided for reliable airspace perception of the low-orbit giant constellation forward scattering detection system.

The invention provides a low-orbit navigation constellation autonomous orbit determination method and system under a weak inter-satellite topological structure, and relates to the technical field of satellite orbit determination, and the method comprises the steps: obtaining various observation data of an inter-satellite link on a predetermined orbit, and carrying out the preprocessing of the various observation data; establishing a synchronous observation equation of orbit and clock correction parameters by adopting a segmented linear polynomial satellite clock correction modeling method, generating orbit, clock correction and related error parameters combining satellite-borne GNSS and inter-satellite link data, and forecasting; based on an error analysis result, multiple key features are extracted from the generated orbit, clock error and related error parameters to serve as input of a parameter prediction model, and a parameter time sequence of four types of prediction including relative weight, inter-satellite link hardware delay, low-orbit satellite clock error and unmodeled error is obtained through output; and uploading the predicted parameter time sequence and the broadcast ephemeris to a main satellite together, and transmitting to each sub-satellite by the main satellite through an inter-satellite link to realize distributed autonomous orbit determination of the sub-satellites.

The invention relates to a remote sensing satellite group adaptive task planning method and system based on a large language model, and the method comprises the steps: building an optimization model based on decision variables, constraint conditions and optimization targets of remote sensing satellite group task planning; generating an initial task planning strategy by adopting a greedy algorithm based on the optimization model; performing iterative optimization on the initial task planning strategy through a large language model, generating a new round of task planning strategy in each iteration, performing scoring by taking an optimization target as an evaluation function, stopping optimization until a preset number of iteration optimization times is reached, and outputting the task planning strategy with the highest score; and based on the task planning strategy with the highest score, performing remote sensing satellite group adaptive task planning. According to the method, multi-satellite distributed task planning can be effectively carried out on the dynamic task, the task income is improved, and the satellite imaging time consumption is reduced.

The invention provides a direct communication method and device based on constellations, electronic equipment and a storage medium, and relates to the technical field of satellite communication. The direct communication method based on the constellation provided by the invention comprises the following steps: acquiring position information and historical communication information corresponding to a plurality of target communication areas respectively, and determining a distribution relationship among the plurality of target communication areas based on the plurality of pieces of position information; determining a target satellite screening criterion based on the distribution relationship and the historical communication information; based on a target satellite screening criterion, screening target satellites respectively corresponding to the plurality of target communication areas and applicable beam resources corresponding to the target satellites from the plurality of satellites to be selected; and controlling the target satellite to provide a communication service for the corresponding target communication area based on the applicable beam resources and the generated communication service instruction. The direct connection communication efficiency of the constellation satellites can be improved.

The invention provides a multi-satellite task scheduling method and system based on uniform revisit routine and emergency observation integration, and belongs to the technical field of remote sensing satellite task planning and autonomous scheduling. The method comprises the following steps: dividing a ground area into a plurality of observation grids based on orbit parameters and imaging parameters of a remote sensing satellite; traversing orbit time sequences of all satellites under a unified time axis, and dynamically planning conventional observation tasks of all satellites according to sub-satellite point positions of the satellites and grid observation marks; when an emergency observation request of a specific area is received, performing emergency observation task replanning according to a current satellite conventional observation task; and obtaining a satellite joint scheduling plan including a conventional observation task and an emergency observation task. The method has the advantages of high scheduling fairness, controllable attitude adjustment, high response speed and the like, and is suitable for an efficient task joint scheduling scene of a large-scale low-orbit remote sensing constellation in conventional and emergency states.

The invention provides an inter-satellite direct wave interference suppression method and system for synthetic aperture radar satellites. The method comprises the following steps: inputting SAR original echo data and system parameters thereof; calculating a pulse repetition frequency, a signal bandwidth and a frequency modulation rate; performing matched filtering and filtering on the original echo data to obtain an echo signal; and carrying out direct wave interference trapped wave processing and inverse matching filtering processing on the echo signal, and outputting original echo data after suppression processing. According to the method, signal self-correlation processing is adopted for detecting and suppressing the inter-satellite direct wave interference for the first time, the problem that an existing inter-satellite direct wave interference suppression processing method greatly depends on model applicability is solved, and important technical support is provided for subsequent large-scale SAR constellation earth imaging observation; direct wave interference is suppressed through a parameterization method, and the application effect of the SAR satellite in the fields of resource investigation, topographic mapping, disaster monitoring and the like is remarkably improved.

The invention discloses a hierarchical coordinate flipping coding method, device and system based on constellation joint shaping, and the method comprises the steps: carrying out the probability shaping of an original pseudo-random binary sequence, and generating a binary sequence with non-uniform probability distribution; performing serial-parallel conversion on the binary sequence with non-uniform probability distribution, and mapping the binary sequence to a pre-generated three-dimensional constellation; the method comprises the following steps: generating four different chaotic sequences by using a secret key and a four-dimensional multiphase hyperchaotic system, encrypting subcarriers and symbols by using two of the chaotic sequences, combining the other two of the chaotic sequences into a new chaotic sequence, and performing coordinate flipping on constellation points on a three-dimensional constellation by using the new chaotic sequence to obtain a three-dimensional constellation. And completing constellation point encryption. According to the invention, the security of the communication system can be ensured, and the damage to the transmission performance can be effectively reduced.

In an example embodiment, a method carried out by an uncrewed aerial vehicle (UAV) may involve receiving a reference map of a cluster of charging pads from a server. The cluster may include a layout of charging pads and fiducial markers distributed across the layout, the reference map representing the layout and fiducial markers. The UAV may fly to the cluster and acquire an image of charging pads and observed fiducial markers near the charging pads. The image may capture an observed constellation of fiducial markers at apparent positions and orientations relative to the charging pads. A reference constellation of fiducial markers at reference positions and orientations relative to reference charging pads may be identified in the reference map. Identities of the reference charging pads and a match of the reference constellation to the observed constellation may be used to disambiguate a particular charging pad from among the charging pads.

The invention provides a constellation phase keeping method and device and electronic equipment, and the method comprises the steps: obtaining the mean root semi-major axis of each satellite in a target constellation in a target epoch, and selecting a satellite with the maximum mean root semi-major axis as a reference satellite; and constellation phase keeping is carried out based on the reference satellite. According to the scheme, only a relatively small period difference needs to be adjusted, the overall orbit adjustment amplitude and frequency can be reduced, and then fuel consumption and the complexity of orbit control operation are reduced; the influence of atmospheric resistance on the reference satellite is relatively small, so that the condition that other satellites frequently perform orbit control due to frequent change of the reference satellite orbit can be reduced; constellation configuration confusion caused by instability of the reference satellite itself is reduced in the face of various perturbation force and environment changes; the operation period of the reference satellite is long, the orbit is relatively stable, and too complex orbit change conditions do not need to be considered when an orbit control strategy is formulated, so that an orbit control algorithm and operation are easier to implement.

The embodiment of the invention provides a measurement and control link multiple access method and device based on a high-dimensional discrete space, electronic equipment and a storage medium. The method comprises the following steps: constructing the high-dimensional discrete space based on an initial orthogonal vector coordinate system; the high-dimensional discrete space comprises space resources of at least one of a time domain, a frequency domain and a code domain; in a high-dimensional discrete space, constructing a non-stipulated coordinate system matched with the control scene requirement by taking the initial stipulated coordinate system as a reference; constructing a dual mapping relation matrix according to a non-stipulated coordinate system of the initial stipulated coordinate system, and updating the dual mapping relation matrix based on the measured data; and accessing at least one satellite or spacecraft to the ground station based on the updated dual mapping relation matrix and the constellation measurement and control link, thereby realizing effective expansion of the measurement and control link multiple access technology, and improving the measurement and control link multiple access efficiency based on the available discrete space of the multi-dimensional joint variable.

The invention relates to a rapid visible time window calculation method for large-scale satellite group cooperation. The method comprises the following steps: establishing an analytic relationship between time and a satellite latitude argument based on a rapid analytic orbit model; calculating a rough moment when the sub-satellite point trajectory of the satellite intersects with the target declination circle; screening potential coverable circles in combination with satellite side sway and a field angle; for each circle, accurately calculating the positive side-looking moment of the satellite to the target by iterating the spherical geometrical relationship; and finally, by taking the moment as a reference, performing forward and backward recursion by using a high-precision model in combination with a dichotomy to determine accurate starting and ending moments of the visible window. According to the method, the defects that a tracking propagation method is high in calculation precision but high in calculation cost can be overcome, and the preprocessing efficiency of a ground or satellite-borne task planning system is improved; meanwhile, the problem of low precision in the prior art is solved, a solution is provided for satellite-borne window calculation of a large-scale satellite group cooperative task planning system, and online and high-precision calculation of single-satellite and satellite group visible windows during large-scale satellite group cooperation is realized.

The invention relates to a method, system and device for scheduling tasks of low-orbit constellations for dynamic targets in space under a fully distributed satellite system, belonging to the field of on-orbit mission planning technology for spacecraft, and solving the problems of high technical cost, low flexibility and low stability of low-orbit constellation task scheduling. The method of the invention comprises: using an autonomous distributed task scheduling method based on CCGA to solve the multi-satellite scheduling problem, decomposing the multi-satellite scheduling problem into a single-satellite scheduling problem, and solving the optimal scheduling solution for each satellite separately to form an overall optimal scheduling solution. The scheduling process consists of local optimization and global negotiation. Each satellite independently explores the scheduling problem of the satellite for local optimization. At the same time, a ring topology is used to form an inter-satellite communication network for global negotiation within the constellation. The observation effect of the scheduling solution is comprehensively evaluated by the weighted sum of the satellite contribution, the number of switching times and the satellite load. The task benefit evaluation index is introduced to assist in the optimization of the single-satellite scheduling solution. The invention is suitable for low-orbit constellation task scheduling.

A wireless communication device configured with approximation schemes utilizing functional fitting in constellation shaping is disclosed. The device is configured to obtain subintervals over which to form piecewise polynomial approximations of a plurality of terms, obtain, utilizing the piecewise polynomial approximations of the plurality of terms, an approximation of a total number of first symbol sequences over a first alphabet having a first alphabet size, each respective symbol sequence of the total number of first symbol sequences having a first symbol sequence length and a first symbol sequence energy, obtain a bit sequence having a bit sequence length, encode the bit sequence, utilizing the approximation of the total number of first symbol sequences, to a second symbol sequence over a second alphabet having a second alphabet size, the second symbol sequence having a second symbol sequence length and a second symbol sequence energy, and transmit the second symbol sequence.

The invention relates to the technical field of satellite signal processing, and discloses a multi-constellation satellite signal intelligent identification and adaptive acquisition method and system. The method comprises the following steps: performing short-time Fourier transform on a received signal to extract a frequency trajectory matrix, calculating a Doppler frequency shift rate and an acceleration, inputting a multi-task neural network in combination with modulation domain characteristics, and outputting constellation category and interference type identification results, when a low-orbit satellite is identified, a carrier frequency deviation track and uncertainty are predicted through a long-short term memory network, the frequency of a numerical control oscillator is adjusted in advance according to a prediction result, a search window and integral time are dynamically set, and corresponding anti-interference strategies are executed for different interference types. And periodically monitoring the signal quality index, and triggering strategy upgrading when the performance improvement rate is lower than a threshold value. According to the invention, the signal capture success rate and tracking stability in a multi-constellation mixed environment are improved.

In a space traffic management system (500), space traffic management devices (100) individually mounted in a plurality of mega-constellation business devices and in a debris removal business device (45) are connected to each other via a communication line (200). The debris removal device (45) performs Active Debris Removal (ADR) against debris formed by a satellite managed by a first mega-constellation business operator. The debris removal device (45) acquires real-time high-accuracy orbital information of a satellite group of a second mega-constellation business operator in a timeframe in which a debris removal satellite, during orbital descent, passes through an orbital altitude region where the satellite group of the second mega-constellation flies, the debris removal satellite passing through the satellite group while ensuring flight safety.

The invention discloses a satellite group collaborative prediction method based on Lie group differential manifold and covariant optimization, and mainly solves the problems of inaccurate disturbance modeling, poor physical interpretation and large prediction error in the prior art. According to the scheme, the method comprises the following steps: mapping the position and attitude of a satellite to an SE (3) manifold, and describing the movement speed of the satellite by using Lie algebra; establishing a multi-level Lie algebra disturbance decomposition mechanism including absolute perturbation, relative coupling and observation noise; constructing a Riemannian loss function by using the orbit state after Lie group manifold embedding and the orbit state deviation obtained by disturbance decomposition; defining an orbital state updating rule by using a covariant derivative of the function, and iteratively solving the orbital state updating rule on the SE (3) manifold to output an orbital state prediction result of the satellite; for an abnormal state of inter-satellite link interruption, a differential geometric connection form is defined, and virtual relative position observation of an integral generation orbit state is carried out. According to the method, the physical interpretability and long-term prediction stability of orbit prediction can be improved, prediction errors are reduced, and the method can be used for low orbit communication constellation deployment of frequency band inter-satellite links.

The present invention discloses a method and device for designing a high-resolution wide-band imaging mode for a multi-base satellite-borne SAR, and belongs to the technical field of high-resolution wide-band imaging for satellite-borne SAR. The method comprises constructing a primary-secondary satellite companion constellation for realizing simultaneous collaborative imaging of a wide-band ground area using multiple satellites; calculating the Doppler bandwidth of the primary-secondary satellite companion constellation according to satellite-ground geometric parameters, and designing wave position information; processing the primary satellite's antenna transmission pattern, the primary satellite's antenna reception pattern, and the auxiliary satellite's antenna reception pattern separately to realize wide transmission and narrow reception; evaluating the two-dimensional fuzziness and sensitivity of the imaging mode, terminating the iteration after meeting the imaging width requirement, and completing the optimization of the imaging parameters; transmitting a signal in orbit by the primary satellite, and transmitting the echoes by the primary satellite and all the auxiliary satellites to obtain a high-resolution wide-band image. The present invention can effectively multiply the quality factor of the system and realize high-resolution wide-band ground imaging.

The invention discloses a low-orbit constellation measurement and control resource scheduling scheme based on an improved genetic algorithm, and the scheme comprises the steps: firstly building a model through satellite simulation software STK, obtaining resource data, building a scheduling distribution model, converting measurement and control resources and measurement and control tasks into a mathematical form, and carrying out the measurement and control of the low-orbit constellation, thereby achieving the high-dimensional and multi-constraint problems of the measurement and control of the low-orbit constellation. A profit value is specified for each measurement and control task, an arc section is used as a measurement and control main body according to constraint conditions, a function expression for evaluating the advantages and disadvantages of a scheme is specified, finally, an improved genetic algorithm is applied, improved binary coding is adopted, the measurement and control arc section is used as a gene unit, a tournament selection mechanism is utilized, and data preprocessing and multiple constraint judgment correction are carried out. And solving an optimal scheme. The scheme can efficiently process complex scheduling, reduce invalid search and improve algorithm efficiency and scheme feasibility, meets actual operation requirements, and is suitable for scenes such as commercial satellite measurement and control.

The invention discloses a resource scheduling optimization method for a giant constellation, relates to the technical field of satellite resource allocation of the giant constellation, solves the problem that an existing satellite resource scheduling method is difficult to give consideration to global optimization of time and energy consumption, and aims to improve the execution efficiency of a multi-satellite cooperative task and reduce energy consumption. A real satellite scheduling task is simulated and arranged to obtain satellite data and task data, an evolutionary process of a reinforcement learning guide genetic algorithm is adopted to optimize a task sequence, satellite resource allocation is performed on the optimized task sequence, time and energy consumption of the task sequence are completed, and finally normalization is performed to obtain a comprehensive index. According to the method, a task execution sequence with the minimum time and energy consumption comprehensive index is obtained, so that an optimal scheduling scheme is obtained, and the requirement of satellite scheduling under a giant constellation is met.

The invention discloses a multi-source navigation signal switching and fusion method and a navigation system thereof, and the method comprises the steps: carrying out the quality evaluation of signals from different navigation source GNSS, and determining a main navigation source based on a quality evaluation result; when the quality score of the main navigation source is lower than a preset threshold value or the GNSS observation information meets a preset switching condition, switching between the main navigation source and the standby navigation source is carried out, and smoothing processing is carried out on the new navigation solution and the old navigation solution in the switching process of the main navigation source and the standby navigation source; and performing multi-source data fusion and state estimation on the data of the navigation source GNSS, the inertial measurement unit, the geomagnetic sensor and the air pressure sensor through a filtering algorithm, and outputting a navigation result. According to the navigation system, a plurality of multi-constellation GNSS receiving chips, an inertial measurement unit, a geomagnetic sensor, an air pressure sensor and a micro-control unit are vertically interconnected in a single package through a wafer-level heterogeneous integration process. According to the invention, the positioning precision and robustness in a complex environment can be improved.

The invention discloses a multi-satellite cooperative operation method based on measurement and control link optimization, and relates to the technical field of spaceflight measurement and control and satellite communication optimization, and the method comprises the steps: obtaining the orbital elements of all satellites in a target constellation and the geographic coordinates of ground measurement and control stations, calculating the visible time windows of all satellites and all measurement and control stations, and generating a visible window matrix; constructing a link quality evaluation model to obtain a link quality index; distributing measurement and control time slots by using a weighted optimization algorithm, and generating a time slot distribution matrix; issuing a measurement and control instruction to each satellite and each measurement and control station, acquiring a link quality measured value, and comparing the link quality measured value with a link quality index to obtain a comprehensive link quality deviation value; and when the comprehensive link quality deviation value exceeds a preset threshold value, marking unexecuted measurement and control time slots in the time slot distribution matrix, and redistributing the unexecuted measurement and control time slots to generate an updated time slot distribution matrix, thereby realizing self-adaptive cooperative operation of the multi-satellite measurement and control link. According to the invention, dynamic optimal configuration of multi-satellite measurement and control resources is realized.

The invention relates to the field of spaceflight measurement and control, and discloses a large-scale constellation multiple access measurement and control spread spectrum signal de-spreading bit width quantization method. Signal samples are counted, a noise deterioration factor and a bit width quantification model are respectively established, the de-spreading bit width is accurately expanded, and the optimal balance of resources and performance is realized. The method solves the problem that the detection range of strong and weak signals is limited when a single receiver detects multi-satellite same-frequency signals at the same time, remarkably improves the system capacity, and has the characteristics of quantizability, large dynamic range and multi-constellation adaptation.

The invention discloses a modulation identification method for multi-modal feature fusion based on signal-to-noise ratio guidance, and belongs to the technical field of signal processing driven by artificial intelligence. In order to solve the problems that in an existing modulation recognition technology, single-mode features are not universal, noise is sensitive, performance is reduced in a low signal-to-noise ratio environment, and utilization of complementary information among modes is insufficient due to coarseness of a multi-mode fusion strategy, an original I / Q signal is converted into three modes including a time-frequency graph, a three-dimensional constellation point cloud and an I / Q time sequence; an input signal is dynamically evaluated by utilizing a pre-trained signal-to-noise ratio estimation model, the fusion weight of each modal feature is intelligently adjusted by taking an estimated signal-to-noise ratio value as guide information, adaptive weighted fusion is realized, and finally a modulation type is identified through a classifier. According to the method, the accuracy and robustness of modulation identification in a complex electromagnetic environment are effectively improved, and the method is suitable for wireless communication, frequency spectrum monitoring and Internet of Things equipment authentication.

The invention provides an inter-satellite link sun-sun avoidance method for a giant satellite base satellite network. The method comprises the following steps: initializing the giant satellite base satellite network; calculating the date of the inter-satellite link influenced by the sun; calculating the included angle between each inter-satellite link and the sun position vector in the date influenced by the sun; and avoiding the sun. According to the method, on the basis of the uniform distribution characteristic of a Walker constellation, the dates of the same-orbit link and the different-orbit link influenced by the sun-sun are calculated under a J2000 geocentric inertial coordinate system, the dates of the inter-satellite links influenced by the sun-sun are calculated according to the motion law of the sun and the characteristics of the different types of inter-satellite links, and the data of the inter-satellite links influenced by the sun-sun are calculated within the dates influenced by the sun-sun. According to the relative position relation of the satellites, the included angle between the inter-satellite link and the sun is calculated in real time, whether the inter-satellite link is affected by the sun or not is judged, the optical axis direction of the laser terminal does not need to be obtained in real time, the included angle between the inter-satellite link and the sun does not need to be calculated in real time on the date without the sun influence, and invalid calculation expenses are reduced.