42 results about "High latitude" patented technology

The invention discloses an inertial navigation system point position correction method and device based on a transverse geography system, and the method comprises the steps: obtaining transverse longitude and latitude calculated by inertial navigation updating and angle measurement information measured by a gyroscope at the current navigation time, building a transverse geography system navigation drift error model, in combination with a conversion relation between navigation parameters of a transverse geographic coordinate system and a traditional geographic coordinate system, a navigation drift error compensation parameter is calculated through a transverse longitude error and a transverse latitude error, and the transverse longitude of inertial navigation update calculation and the transverse latitude of inertial navigation update calculation are corrected; the corrected transverse longitude and the corrected transverse latitude are obtained, navigation drift error compensation parameters are projected to a transverse geographic coordinate system, angle measurement information measured by a gyroscope is corrected, and corrected angle measurement information is obtained. According to the method, the inertial navigation high-latitude long-endurance navigation precision can be improved based on position correction and drift error suppression of high-latitude transverse geographical system long-endurance navigation.

This invention discloses a projection function modeling method and system for geomagnetic soft partitioning and height perturbation correction. The method includes: acquiring puncture point observation samples; converting them to geomagnetic latitude and constructing periodic features; calculating the weights of low, middle, and high latitude sub-models using a soft partitioning mechanism with a fixed center and continuous weights; establishing the effective height function of each sub-model and weighted fusion to obtain the basic effective height; calculating the basic explicit projection function; inputting features into the data to drive the model, outputting the effective height correction, residual, and uncertainty; mapping the correction to an interpretable correction term based on sensitivity and combining it with the residual; and adaptively outputting the complete result or reverting to the basic model based on the uncertainty. This invention combines physical interpretability and data-driven capability, improving the accuracy, regional adaptability, and robustness of the projection function, and can be used for ionospheric delay correction in satellite navigation.

This invention discloses a high-precision inversion method for cloud microphysical parameters in high-latitude cold regions, belonging to the field of aviation meteorology and cloud physics detection technology. Addressing the problems of poor environmental adaptability, lack of error verification, and low accuracy in inverting parameters of large supercooled water droplets under the cold temperate vortex / frontal weather conditions of high latitudes (47°–53°N), this invention achieves high-precision inversion of liquid water content, effective particle radius, particle number concentration, and particle size distribution through five steps: raw data standardization, cold-region-specific instrument coefficient calibration, step-by-step inversion of core parameters, and multi-dimensional cross-validation. This invention significantly improves the accuracy and environmental adaptability of cloud microphysical parameter inversion in high-latitude cold regions by over 30% through extreme cold environment instrument coefficient correction, cold-region physical rationality verification, multi-probe cross-validation, and SLD large particle size distribution optimization strategies. It can directly support aviation meteorological icing warnings and aviation operational safety assurance, requires no additional hardware equipment, and is easy to deploy operationally.

The application provides an ionospheric delay estimation method considering non-absolute zero constraint in high latitude areas. The application introduces ionospheric piercing point data of multiple historical moments and multiple geographical positions; a linear ionospheric delay calculation model is constructed; the multiple historical moments and the multiple geographical positions are compared with a latitude threshold in sequence to obtain multiple high-latitude geographical positions of multiple historical moments and multiple low-latitude geographical positions of multiple historical moments; a low-latitude observation equation and a high-latitude observation equation are constructed; the low-latitude observation equation and the high-latitude observation equation are combined to obtain an optimized parameter vector of an ionospheric model considering non-absolute zero constraint in high latitude areas; each ionospheric piercing point data of each geographical position in real time is taken to calculate and output the optimized ionospheric delay of the real-time geographical position. The application has the advantages of obviously relieving the high-latitude anomaly of the Beidou Klobuchar model and significantly improving the correction performance of the Beidou Klobuchar model in the southern hemisphere.

The invention provides a converged communication gateway suitable for polar navigation. The converged communication gateway comprises a core control module, a 5G communication module, a multi-interface adaptation module, a network detection module, a data forwarding module, a position positioning module, a polar region signal enhancement module and a power supply module. The core control module pre-stores a maritime satellite coverage map, and automatically selects an active link according to the priority hierarchy of 5G priority, VSAT second priority and iridium bottom according to the real-time position and network state; and the differentiated cache duration is selected according to the switching type during switching, so that the data integrity is guaranteed. According to the invention, communication seamless switching in near-shore, medium-low-latitude ocean and high-latitude areas is realized, and communication continuity, adaptability and cost economy are guaranteed.

The invention provides an implicit entropy learning-based underwater visual image efficient reconstruction method and system, and the method comprises the steps: obtaining an input image which is an original image collected by an underwater robot; performing feature extraction on the input image to obtain a high-latitude feature, extracting and obtaining an auxiliary feature, and performing quantization operation on the high-latitude feature and the auxiliary feature; the auxiliary quantization features are coded to generate an auxiliary feature code stream, the auxiliary quantization features are obtained through decoding and recovery, potential context information is decoded and extracted, and an implicit entropy modeling module fuses the context information into distribution prediction of the high-latitude quantization features; encoding the high-latitude quantitative features to generate a high-latitude feature code stream; and decoding and restoring the high-latitude feature code stream to obtain a high-latitude quantization feature, and performing feature decoding on the high-latitude quantization feature by using a decoder to obtain a reconstructed image. According to the method, the problems of insufficient compression performance, poor reconstruction quality and the like of a traditional image compression algorithm in an underwater complex environment can be solved.

The utility model provides an anti-seepage device for a spring opening in a high-latitude alpine region, and relates to the field of spring opening seepage prevention. Comprising an anti-seepage sleeve which is through in the middle, and the anti-seepage sleeve sequentially comprises an anti-seepage part, a fine seepage part and a coarse seepage part from top to bottom; a first flow guide interface is formed in one side of the fine seepage part, and a second flow guide interface is formed in one side of the top of the anti-seepage part; an anti-leakage layer is arranged on the side wall of the reservoir; the reservoir is provided with a third diversion interface at one side close to the bottom and a fourth diversion interface at one side close to the top; a water outlet is formed in one side of the bottom of the reservoir and is provided with a valve; the flow guide pipe comprises a first flow guide pipe and a second flow guide pipe; one end of the first diversion pipe is detachably connected with the first diversion interface, and the other end is detachably connected with the third diversion interface; one end of the second flow guide pipe is detachably connected with the second flow guide interface, and the other end is detachably connected with the fourth flow guide interface. The spring opening water can be guided underground, and water flow gushing out of the spring opening is reduced.

The application discloses a prediction method for radiation refrigeration capacity by using aerosol optical thickness and precipitable water amount, comprising the following steps: S10, obtaining corresponding hourly weather data according to weather data; S20, judging whether the local latitude is greater than 33°, if yes, entering step S30, S30, calculating the local precipitable water amount (PWV H ) by using a high-latitude calculation method; if no, entering S40, S40, calculating the local precipitable water amount (PWV L ) by using a low-latitude calculation method; S50, calculating atmospheric radiation according to the calculated precipitable water amount (PWV H or PWV L ); S60, correcting the atmospheric radiation calculated in S50 according to the aerosol optical thickness in the weather data; and S70, calculating the radiation refrigeration capacity according to the atmospheric radiation corrected in S60.

The paper presents a high-latitude ionospheric scintillation intensity prediction method, belonging to the field of space weather monitoring and satellite navigation technology. The low-frequency trend item, high-frequency non-stationary item and residual item are generated by using the time series of high-latitude ionospheric phase scintillation factor. The high-latitude ionospheric scintillation intensity prediction model is constructed by using the ionospheric phase scintillation factor and the target physical characteristics. The prediction value is generated by using the low-frequency trend item to train the multivariate CNN-BiLSTM-Attention. The prediction value is generated by using the high-frequency non-stationary item and the residual item to train the single variable CNN-BiLSTM-Attention. The ionospheric scintillation intensity can be predicted by combining the trained high-latitude ionospheric scintillation intensity prediction model. The method can effectively improve the accuracy, stability and cross-station migration ability of multi-step prediction of scintillation in complex ionospheric environment, and provides a means for studying ionospheric disturbance law and improving the reliability of high-precision application of global navigation satellite system.

The invention provides a high-latitude ionosphere phase flicker prediction method based on a segmented recurrent neural network, and belongs to the technical field of aviation navigation. According to the method, four kinds of heterogeneous data of a super dual aurora radar, an altimeter, a geomagnetic solar activity index and ionospheric scintillation are integrated, and a minute-level fusion data set is constructed through space-time registration; complementing missing values by using a self-attention neural network and keeping data distribution characteristics; a segmented recurrent neural network model is innovatively designed, cross-day scale long-range dependence and minute-level sudden flicker evolution characteristics are synchronously captured through a double-path state transfer architecture, and continuous high-precision prediction of flicker phases is achieved. A time decay weighted evaluation mechanism is adopted to carry out non-linear penalty on the deviation of the starting moment and the ending moment of flicker, and the robustness of the model in complex space weather is verified. The support efficiency of the dynamic suppression strategy of the navigation receiver is remarkably improved, and the positioning stability in the polar region ionosphere environment is enhanced.

The application relates to a community life circle demarcation method and device based on multi-source big data. The method automatically extracts residential communities, public service facilities and urban road network feature information around a target community from multi-source big data such as Baidu, Gaode and other Internet maps, population heat maps and national "three surveys" data to make a planning base map, determines the optimal predicted path between the residential area and the public service facility area, obtains the predicted heat map image of the path in the planning base map in combination with the visited frequency of the public service facility area obtained by means of mobile phone signaling data, inputs the difference area, the residential area and the public service facility area into a boundary demarcation model to output the planning base map after boundary demarcation, and embeds the high-latitude information of the difference area into the boundary demarcation model for training, so that the life circle boundary can be more accurately demarcated, and different types of life circle boundaries such as five minutes, ten minutes, fifteen minutes and half an hour can be selected according to the use demand of users.

The application discloses a reference atmosphere construction method suitable for a high-resolution global weather forecast model and an implementation process in a two-time layer semi-implicit semi-Lagrangian model CMA_GFS. The scheme comprises three modules, namely, a two-dimensional reference atmosphere construction module, an initial data generation module, a dynamic framework spatial difference and linearization module. The input of the reference atmosphere construction module and the initial data generation module is an isobaric surface analysis field and static data, and the reference atmosphere and the static data remain unchanged in the whole integration process. The dynamic framework of the CMA_GFS is decomposed into linear and nonlinear terms after the reference atmosphere is introduced, which is one of the core modules of the whole model integration. The reference atmosphere construction method provided by the application is suitable for global or regional numerical weather forecast models, can effectively reduce the calculation noise of the high-resolution model in the latitude direction, especially in the high-latitude area, and improve the stability and the calculation efficiency of the model integration.

The present application relates to a kind of preparation methods for different characteristic Mars weathered layer simulation object, comprising: obtaining the chemical element information of real Mars weathered layer, selecting the brown red volcanic rock with approximate chemical characteristics as raw material and drying;The dry raw material is pulverized, classified and screened, and a plurality of particle size components are obtained;Design different types of target particle size grading, to simulate the typical mechanical properties of different regions on the surface of Mars, each grading can be used as dry state regolith sample.Add water or salt solution to dry state regolith sample, and form frozen sample by low temperature, to simulate high latitude or shallow ice frozen environment on Mars.In addition, secondary mineral powder can also be added to simulate the surface environment of Mars after acidification or salinization weathering, to realize more complex chemical characteristics demand.The present application is simple in process, suitable for mass production, and the simulation object and Mars weathered layer have good correspondence in chemical composition, physical and mechanical properties, and simulation regolith can be produced to cope with various working conditions.

The application discloses a global chlorophyll-a remote sensing inversion optimization method and device covering high latitude areas, and comprises the following steps: performing spatio-temporal matching on sea surface temperature based on a measured data set of measured remote sensing reflectivity and measured chlorophyll-a concentration, and integrating and constructing a training data set, which contains five bands of measured remote sensing reflectivity (412, 443, 490, 555 and 670 nm), sea surface temperature, longitude, latitude and measured chlorophyll-a concentration; applying a BP neural network to construct a global chlorophyll-a remote sensing inversion model covering high latitude areas and training the model by using the training data set, the initial weight and threshold of the BP neural network are obtained by iterative optimization of a genetic algorithm, and a trained global chlorophyll-a remote sensing inversion model is obtained; and inputting satellite remote sensing reflectivity to be inverted, matched sea surface temperature, longitude and latitude into the trained global chlorophyll-a remote sensing inversion model, and inverting to obtain chlorophyll-a concentration. The application can effectively improve the global remote sensing inversion precision of chlorophyll-a.

The application provides an underwater visual image efficient reconstruction method and system based on implicit entropy learning, comprising: acquiring an input image, the input image being an original image collected by an underwater robot; performing feature extraction on the input image to obtain high-latitude features, extracting auxiliary features, and performing quantization operation on the high-latitude features and the auxiliary features; encoding the auxiliary quantized features to generate an auxiliary feature code stream, decoding and restoring the auxiliary quantized features, decoding and extracting potential context information, and fusing the context information into distribution prediction of the high-latitude quantized features by an implicit entropy modeling module; encoding the high-latitude quantized features to generate a high-latitude feature code stream; decoding and restoring the high-latitude feature code stream to obtain high-latitude quantized features, and performing feature decoding on the high-latitude quantized features by using a decoder to obtain a reconstructed image. The application can solve the problems of insufficient compression performance and poor reconstruction quality of traditional image compression algorithms in underwater complex environments.

The application provides an Arctic sea wave prediction method based on automatic fusion of sea ice density, and belongs to the technical field of weather prediction. The wind field data automatic acquisition system is established to ensure the continuity of the wind field driving data. The sea ice wave interaction optimization model is applied to dynamically adjust the IC4M2 sea ice wave parameterization scheme. The open boundary line is set in the high latitude sea area of the North Atlantic, and the radiation boundary condition algorithm is combined with the sponge layer absorption technology to process the boundary wave propagation. The WAVEWATCH III sea wave numerical model is started, the fourth-order precision finite difference discrete format is combined with the adaptive artificial viscosity control algorithm to calculate the Arctic sea wave field, and the sea wave prediction product business processing system is established, so that the technical problem of low accuracy of the Arctic sea wave prediction caused by the insufficient parameterization precision of the sea ice wave interaction is solved.

The application discloses a data collaborative verification method and device, electronic equipment and a storage medium; the method comprises the following steps: collecting multi-source heterogeneous environment data under an extreme marine real service environment through an installation in-situ test subsystem; acquiring physical mechanism data under the action of multiple environment elements in a controlled test environment through a laboratory test subsystem, and establishing a basic physical model based on the physical mechanism data; and verifying a full-scale twin model under multi-element heterogeneous environment data based on the basic physical model through a digital simulation test subsystem. The application uses multi-source heterogeneous measured data and laboratory physical mechanism data to collaboratively verify a digital simulation model, improves the simulation data accuracy of equipment in an extreme uncertain and strongly coupled marine environment, shortens the equipment research and development cycle, reduces the research and development cost, and solves the technical problem of simulation prediction inaccuracy in an extreme multi-ice low-temperature high-latitude coupled environment.

The application belongs to the technical field of computer information processing, and specifically discloses a high-latitude sailing chart projection selection and switching method. The application solves the problems of projection selection, coordinate system adaptation and switching link fragmentation in high-latitude sailing through a coherent technical path based on latitude selection projection, automatic coordinate system matching, switching judgment according to sailing state and smooth conversion execution. The application realizes the standardized selection of projection based on geographical latitude as an objective basis, overcoming the blindness of experience selection. Through automatic matching of projection and coordinate system, the problem of disconnection with the navigation system and the need for manual intervention is solved. By introducing a switching area and dynamically judging the timing according to real-time sailing information, the rigid boundary switching is transformed into a smooth transition linked with the sailing state. Finally, multiple isolated operations are integrated into a complete process driven by data and automatically connected, significantly improving the automation level, system adaptability and navigation reliability of high-latitude sailing.

The invention discloses a large-scale ship real-time monitoring method, device and equipment, and belongs to the technical field of large-scale ship real-time monitoring, and the method comprises the steps: determining a drift category label and a risk assessment result of a risk sea area according to the target multi-source data of each sea area and a preset environment adaptive drift threshold; performing feature stripping on the target multi-source data of the risky sea area according to the drift category label and the ship information, and then performing recombination to obtain a depth feature vector; generating a high-latitude fusion vector sequence according to the depth feature vector, the drift category label, the historical sea transportation data and the risk assessment result; and performing iterative training on the monitoring model according to the fusion vector sequence, and identifying the drift type and the risk assessment result of each sea area through the model. According to the method, the drifting characteristics, the ship motion attributes and the environment characteristics of different sea areas are rapidly mined, the relation characteristics between the drifting characteristics of the multi-source heterogeneous data and the dynamic sea conditions are analyzed, and the drifting types and the risk assessment results of the sea areas are accurately identified.

The present invention relates to the field of marine environmental protection technology, and specifically discloses a method for water quality evaluation and pollutant reduction in high-latitude estuaries and bays, including: obtaining measured data of a study area; constructing a three-dimensional ecological hydrodynamic numerical model covering the study area, and calibrating and verifying the model; obtaining the spatiotemporal distribution characteristics of hydrodynamics and pollutants in the study area under current conditions in the past year; evaluating the water quality status of the study area after emission reduction using the WQI method, and analyzing the impact of pollutant reduction under different reduction schemes on changes in ecological parameters in the study area; and evaluating the ecological status in the study area after the implementation of different reduction schemes with reference to the actual situation in the study area; and selecting the most suitable pollutant reduction scheme based on the simulation results under different reduction schemes. The present invention overcomes the deficiency of traditional methods that ignore the impact of the freezing period, and can more accurately reflect the impact of the freezing period on water quality, ecological conditions, and pollutant diffusion.

The invention provides an Arctic sea wave forecasting method based on sea ice concentration automatic fusion, and belongs to the technical field of weather forecast, the continuity of wind field driving data is ensured by establishing a wind field data automatic acquisition system, and dynamic parameter adjustment is performed on an IC4M2 sea ice wave parameterization scheme by applying a sea ice wave interaction optimization model, so that the sea ice concentration automatic fusion is realized. An open boundary line is arranged in a high-latitude sea area of the North Atlantic Ocean, a radiation boundary condition algorithm is combined with a spongy layer absorption technology to process boundary wave propagation, a WAVEWATCH III sea wave numerical mode is started, and a fourth-order precision finite difference discrete format is combined with a self-adaptive artificial viscosity control algorithm to carry out North polar sea wave field calculation. A sea wave forecasting product business post-processing system is established, and the technical problem that the accuracy of north pole sea wave forecasting is low due to the fact that the parameterization precision of the sea ice wave interaction is insufficient is solved.

The application provides a real-time satellite coverage calculation method and system based on an equal-area spherical grid, electronic equipment and a storage medium, and relates to the technical field of space mission planning. The method comprises the following steps: acquiring satellite orbit attitude parameters, extracting a visual axis direction and simplifying a visual axis trajectory into a plurality of discrete line segments along a time axis; initializing a nested structure pixel index of a target area based on a hierarchical rule of an equal-area spherical grid HEALPix; inputting the line segment data and the pixel index into a GPU, and decoding the pixel index into a direction vector in the GPU; calculating the intersection state of each pixel vector and a corresponding line segment in parallel in the GPU according to the satellite payload field of view shape, accumulating the coverage time; and outputting the coverage rate of the target area based on the coverage statistical result. The application eliminates high-latitude area distortion by using an equal-area grid, greatly reduces the calculation complexity by using a line segment trajectory approximation and GPU parallelism, and realizes high-precision calculation of a second-level real-time coverage rate of a user-drawn polygon.

The invention discloses a wind curtailment and light curtailment prediction and evaluation method based on integrated learning, and the method comprises the steps: S1, collecting multi-source data, and forming a structure monitoring data set and an operation environment data set; s2, extracting a structure sensing feature vector of the structure monitoring data set by adopting an improved CoAtNet network; s3, forming a structure-operation coupling feature sequence by the structure sensing feature vector and the operation environment data set; s4, designing a multi-dimensional modeling strategy for a wind curtailment and light curtailment prediction task, and outputting a sub-model prediction result set; s5, performing weighted fusion on the sub-model prediction result set through an improved Stacking integrated model, and outputting an integrated prediction value and a probability confidence interval; s6, on the basis of the integrated predicted value and the probability confidence interval, constructing a wind and light abandoning evaluation index; and S7, generating wind curtailment and light curtailment risk early warning information and hot pile structure deployment suggestions based on the wind curtailment and light curtailment evaluation indexes. According to the invention, accurate prediction and structure layout optimization of the wind and light abandoning risk in the high-latitude region are realized.

The invention discloses a method for calculating a visible time period between a satellite and any area of the ground, relates to the technical field of visible time period calculation, and aims to solve the problems of orbit perturbation errors, low intensive transit efficiency and coverage blind areas in satellite visible time period calculation. Through three technical means of dynamic resistance correction, space-time clustering optimization and inter-satellite link cooperation, a resistance compensation mechanism fuses real-time change of atmospheric density and a satellite motion direction, an accumulative error of orbit prediction is corrected, and it is ensured that starting and ending moments of a visible window accurately correspond to an actual transit event; the space-time clustering algorithm performs grouping processing on dense transit satellites, so that repeated calculation of satellite coverage in the same time-space domain is avoided, and the large-scale constellation scheduling response time is remarkably shortened; the inter-satellite link cooperation mechanism breaks through the geometric limitation of single-satellite direct connection, indirectly covers the traditional blind area through the relay satellite, and improves the service continuity of high-latitude and complex terrain areas.

The application belongs to the technical field of navigation, and specifically discloses a high-latitude space-time reference unified coordinate system construction and navigation parameter expression method, which comprises the following steps: based on the current geographical latitude continuously monitored by a navigation system, whether a high latitude is reached is determined by comparing the current geographical latitude with a high-latitude threshold; if yes, the following steps of the high-latitude mode are executed: based on an internal calculation coordinate system of the navigation system in the high-latitude mode, navigation parameters are calculated; based on the conversion relationship between the internal calculation coordinate system and a grid coordinate system, the navigation parameters in the internal calculation coordinate system are converted into the navigation parameters in the grid coordinate system; and through the external interface of the navigation system, the navigation parameters in the grid coordinate system are uniformly output externally. The application provides a high-latitude space-time reference unified coordinate system, guarantees the stability of the heading indication, is compatible with the internal calculation coordinate systems of various navigation systems, and outputs the navigation parameters in a unified navigation parameter expression mode.

The application discloses a method for eliminating initial speed disturbance and aligning a polar region dynamic base, and solves the problem that the polar region alignment is easily affected by initial speed error, and comprises the following steps: step 1, acquiring sensor data and combined navigation data; step 2, designing a data conversion method for middle and high latitudes; step 3, performing attitude updating and constructing a speed auxiliary vector observer model; step 4, designing an initial speed disturbance elimination model; step 5, realizing attitude determination by using an OBA algorithm; step 6, the iteration number of the initial alignment process is M, if k=M, the estimated error parameter is output, the initial alignment is completed, if k<M, the alignment process is not completed, and the steps 1 to 5 are repeated until the alignment process is completed. The application uses speed assistance to perform polar region alignment, realizes polar region simulation by using a data conversion principle, designs an initial speed disturbance elimination method, weakens the influence of initial speed disturbance on the initial alignment, and improves the alignment robustness.

The application relates to the technical field of photovoltaic support, and discloses a photovoltaic support suitable for high-latitude mountain complex terrains, which comprises a bearing plate and a fixed frame, the fixed frame is arranged at the top of the bearing plate and is used for bearing photovoltaic components; after the photovoltaic components are installed outside the fixed frame, the stable limiting of the photovoltaic components can be realized through the fixed frame, laying a foundation for subsequent angle adjustment; and the bottom of the bearing plate is provided with a hollow disc. The photovoltaic support suitable for high-latitude mountain complex terrains is characterized in that the linear motion of the piston plate is converted into the rotation of the clamping jaw through the connecting rod, the clamping jaw is opened and closed, the clamping jaw can be in close contact with the inner wall of the stone gap when the clamping jaw is extended, the hollow box is stably fixed, the second hose can smoothly transmit gas to provide power for the movement of the piston plate, the overall structure is suitable for high-latitude mountain complex terrains, the stability and use reliability of the photovoltaic components after installation are ensured, the height and angle can be flexibly adjusted, and different use requirements can be met.

This invention discloses a high-precision integrated positioning method for polar unmanned surface vessels (USVs) that fuses BeiDou and inertial navigation, belonging to the field of integrated navigation and positioning technology for USVs. The method includes: acquiring and parsing BeiDou positioning status data of the polar USV; collecting inertial sensor measurement signals and constructing inertial navigation status estimation data; processing the above data in conjunction with polar high-latitude spatial coordinate system transformation rules to generate polar grid navigation spatial comparison data; processing the comparison data based on a multi-source data fusion algorithm to calculate fused position and attitude data; and generating an integrated positioning result based on the fused position and attitude data. This invention employs polar grid spatial projection and adaptive multi-source fusion processing with signal anti-interference capabilities, which can overcome the singularity of polar high-latitude coordinates and effectively shield against signal attenuation interference in complex environments.

This invention proposes a novel high-latitude navigation method based on the ECEF system, belonging to the field of high-precision navigation technology. This invention addresses the problems of low positioning accuracy and large error fluctuations in traditional grid coordinate system and transverse coordinate system navigation algorithms in high-latitude environments, as well as the navigation interference caused by meridian convergence and high-latitude dynamic effects. The steps of this invention include: establishing a transformation matrix between the geographic coordinate system and the geocentric-fixed coordinate system; establishing discrete navigation solution equations for attitude direction cosine matrix, velocity, and position in the geocentric-fixed coordinate system; establishing error equations for attitude error, velocity error, and position error in the geocentric-fixed coordinate system; performing an S-domain transformation based on the error equations and converting to the time domain to obtain an analytical expression for inertial navigation error in the geocentric-fixed coordinate system; and obtaining optimized high-latitude navigation results based on the oscillation and divergence characteristics of attitude and velocity errors presented by the analytical expression for inertial navigation error.

The application provides a fusion communication gateway suitable for polar navigation. The fusion communication gateway comprises a core control module, a 5G communication module, a multi-interface adaptation module, a network detection module, a data forwarding module, a position positioning module, a polar signal enhancement module and a power module. The core control module pre-stores a maritime satellite coverage map, and according to the real-time position and network state, the active link is automatically selected in the priority order of 5G first, VSAT second and Iridium last; when switching, the differentiated cache time length is selected according to the switching type to ensure data integrity. The application realizes seamless switching of communication in nearshore, mid-low latitude ocean and high latitude areas, and guarantees communication continuity, adaptability and cost economy.