773 results about "Satellite system" patented technology

The invention discloses an InSAR (Interferometric Synthetic Aperture Radar) and GNSS (Global Navigation Satellite System) robust adaptive fusion method for high-precision three-dimensional surface deformation monitoring, which belongs to the technical field of space geodetic survey and remote sensing, and comprises the following steps of: constructing a time sequence deformation field based on a small baseline set time sequence InSAR processing technology, and resampling GNSS observation data to a grid consistent with the InSAR by using Kriging spatial interpolation; a Helmert variance component estimation method is adopted to adaptively estimate variance components of InSAR and GNSS data, and reasonable weight fixing of a multi-source observation value is achieved; iterative reweighted least square estimation is introduced, outlier influences in various observation data are dynamically restrained through a Tukey double-weight function, robust optimization of a fusion model is achieved, and therefore a high-precision three-dimensional deformation field is reconstructed. The method comprises the steps of Helmert weight fixing, IRLS robust, variance component updating and a closed-loop feedback mechanism of weight matrix optimization.

To eliminate the influence of station position fluctuations in a satellite navigation system. [Solution] In satellite navigation systems, including the US GPS and Japan's Quasi-Zenith Satellite System, when multiple reference stations are installed to form a wide-area differential correction system (WADGPS), previously, position errors caused by fluctuations in station position would remain in the position information calculated by the user receiver.However, by adding a correction amount to the correction information provided by WADGPS in advance to cancel this, the position errors caused by fluctuations in station position at the user station can be reduced without changing the calculation processing content at the WADGPS user station, thereby improving the accuracy of the position information calculated by the user station.

The invention discloses a combined navigation method and system of an unmanned surface vehicle. The method comprises the following steps: forming a GNSS (Global Navigation Satellite System) / INS (Inertial Navigation System) integrated navigation system by using a GNSS (Global Navigation Satellite System) and a strapdown inertial navigation system (INS), and establishing a mathematical model of a GNSS / INS integrated navigation system filter; the mathematical model comprises a state equation and a measurement equation; establishing a mathematical model of the influence of the GNSS auxiliary information on the GNSS positioning precision so as to preliminarily adjust the measurement noise in the measurement equation; through an improved Sage-Husa adaptive filtering algorithm, adaptive estimation is carried out on the preliminarily adjusted measurement noise, and a measurement noise estimation final value is obtained; and according to the motion characteristics of the unmanned surface vehicle, adding motion constraint conditions to the measurement equation. The GNSS auxiliary information mathematical model based on multivariate function fitting is established, the influence of the external environment on the positioning precision is objectively reflected, the measurement noise in the filter is dynamically adjusted, and the positioning precision of the integrated navigation system under the interference condition is remarkably improved.

The invention relates to the technical field of signal analysis, in particular to a GNSS (Global Navigation Satellite System) detection method and system based on machine learning, and the method comprises the steps: receiving a navigation radio-frequency signal containing reality and deception, and carrying out the down-conversion of an RF (Radio Frequency) front end to obtain intermediate-frequency data; gNSS signal capture is completed by searching correlation peaks in frequency and code phases based on intermediate frequency data; in the capturing stage, a motion state, a correlation peak number, a noise value, capturing parameters and peak + / -1 chip sampling features are extracted and input into a machine learning classification model to judge whether cheating exists or not; if so, separating the deception signal from the real signal, and respectively sending the deception signal and the real signal into independent tracking channels; measuring an array element carrier relative phase by an array antenna, establishing a phase center model, and correcting to obtain an effective phase center and a differential baseline; according to the method, a deception azimuth angle and a pitch angle are obtained, a beam weight is calculated, a deception direction is subjected to null setting, a real direction is subjected to main lobe protection, and a weight value is fed back in real time to improve a signal carrier-to-noise ratio and locking stability. According to the invention, the problem that the existing commercial GNSS signal is low in power and easy to be interfered by deception is solved.

The invention relates to a modernized global navigation satellite system receiver. GNSS receivers and systems within such receivers use improvements to reduce memory usage while providing sufficient processing resources to directly receive, capture and track E5 band GNSS signals (in one embodiment, not attempting to receive L1 GNSS signals). Other aspects are also described.

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

Provided is a method for a user equipment (UE). The method includes detecting a status of a Global Navigation Satellite System (GNSS) position fix for the UE; in accordance with a determination that the GNSS position fix for the UE is invalid, generating, for transmission to a network device, a first GNSS measurement parameter including a first GNSS measurement periodicity and a first GNSS measurement gap; receiving, from the network device, a second GNSS measurement parameter including a second GNSS measurement gap; and performing a GNSS measurement based on the received second GNSS measurement parameter, for acquiring a valid GNSS new position fix, wherein the UE remains in Radio Resource Control (RRC)_Connected mode.

The invention discloses a geotechnical engineering slope stability real-time monitoring method and a geotechnical engineering slope stability real-time monitoring system, which are characterized in that a blind source separation technology combining independent component analysis and physical constraint is introduced, an original displacement time sequence and an environment temperature time sequence of a plurality of GNSS (Global Navigation Satellite System) measuring points are regarded as multi-channel mixed signals, and statistical independence among signal sources is utilized to monitor the stability of a slope in real time. Periodic environment noise, instrument random noise and drift and real slope deformation signals are effectively separated from the mixed observation signals; and then, through correlation verification with physical quantities such as the field environment temperature and the like, automatic calibration is performed on the separated source signals, and temperature effect source signals and long-term creep source signals with physical labels are accurately identified and extracted, so that accurate elimination of noise components and high-fidelity reconstruction of pure deformation signals are realized. Therefore, the accuracy of real-time monitoring of the slope stability of geotechnical engineering can be effectively improved, and a solid data basis and a decision basis are provided for early warning and prevention of slope disasters.

The embodiment of the invention provides a downlink signal sending method and a downlink signal processing method, which are characterized in that a downlink signal is obtained on the satellite side based on a supplementary synchronization sequence, and then time-frequency synchronization is carried out on the terminal equipment side by using the downlink signal from the satellite. In the application, the terminal device can realize time-frequency offset tracking compensation without acquiring satellite ephemeris information and using GNSS (Global Navigation Satellite System) equipment, so that the influence of ephemeris errors and GNSS errors on time-frequency synchronization performance after the terminal device is shut down for a long time is eliminated, and the problem that the time-frequency synchronization performance of the terminal device is influenced in the related technology is solved. The problem of low precision of time-frequency offset tracking compensation in the satellite-ground communication process is solved, and the time-frequency synchronization success rate of satellite-ground communication under the conditions of inaccurate ephemeris and high speed is improved.

A wireless transmit receive unit (WTRU) is configured to receive configuration information for reporting Global Navigation Satellite System (GNSS) assistance information (AI). The configuration information comprises a reporting trigger threshold that is at least one of a distance threshold or a time offset threshold. The WTRU determines that the reporting trigger threshold is exceeded and reports GNSS AI. The GNSS AI comprises at least one of a GNSS validity duration or a GNSS acquisition time. The GNSS validity duration comprises an indication of a time duration associated with a validity of a GNSS acquisition, an indication of a time duration associated with expiration of the GNSS acquisition, or a WTRU location associated with the GNSS acquisition. The GNSS acquisition time comprises a time to acquire a GNSS position.

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 disclosure relates to a system and a method for performing a Global Navigation Satellite System (GNSS) measurement in Non-terrestrial network (NTN). In some aspects, a user equipment (UE) may comprise: at least one antenna; at least one radio, configured to perform wireless communication using at least one radio access technology; and one or more processor coupled to the at least one radio, wherein the at least one radio and the one or more processor are configured to cause the UE to detect an event to trigger a Global Navigation Satellite System (GNSS) measurement; transmit, to a network device, a request to perform an event-triggered GNSS measurement, in response to detection of the event; receive, from the network device, a configuration for an event-triggered GNSS measurement gap during which the UE performs the event-triggered GNSS measurement in a connected state; and perform the event-triggered GNSS measurement in the connected state during the event-triggered GNSS measurement gap.

The invention belongs to the technical field of geological disaster monitoring, and particularly relates to a landslide multi-modal data fusion method based on a dynamic gating mechanism, which comprises the following steps: respectively carrying out feature extraction on remote sensing image data and GNSS (Global Navigation Satellite System) data, and fusing the GNSS data and meteorological data by using an SARIMAX model to obtain fusion features of the GNSS data and the meteorological data; the method comprises the following steps: firstly, carrying out remote sensing image data on a landslide to obtain a fusion feature, then carrying out secondary fusion on the remote sensing image data and the fusion feature to obtain a multi-modal fusion feature, and then monitoring the dynamic change of the landslide in real time by using a GRU-Attention multi-modal landslide monitoring model, thereby automatically identifying the influence of external environmental factors on displacement while monitoring, and improving the comprehensive capability and response speed of monitoring.

The application provides a differential interferometric SAR satellite deformation rate measurement precision analysis calculation method and system. The implementation steps of the application are as follows: (1) establishing a differential interferometric SAR satellite long-time sequence deformation rate measurement equation, and determining various error sources affecting the system deformation rate measurement precision; (2) deducing an error transfer function of each error source of the differential interferometric SAR long-time sequence deformation rate measurement on the target long-time sequence deformation rate measurement precision; (3) designing satellite system parameters; (4) calculating the influence degree of each error source on the differential interferometric SAR long-time sequence deformation rate measurement precision of the satellite system; and (5) solidifying the calculation process, and quickly responding when the satellite system design parameters change. The application can be used for the overall design of a differential interferometric SAR long-time sequence deformation rate measurement satellite system.

The invention discloses an unmanned aerial vehicle airborne geophysical prospecting method and system based on big data, and the method comprises the steps: obtaining the positioning data of a global navigation satellite system and the measurement data of an inertial measurement unit, carrying out the correction and compensation through the combination of a differential positioning technology and a terrain height model, and obtaining an accurate three-dimensional coordinate data set; acquiring a magnetic field signal and a spectral signal according to the three-dimensional coordinate data set, and performing de-noising processing on the magnetic field signal and the spectral signal by adopting an adaptive filtering algorithm to obtain preprocessed signal data; judging whether the signal data volume of the preprocessed signal data exceeds a preset threshold value or not, if the signal data volume exceeds the preset threshold value, performing fragmentation processing on the preprocessed signal data through a distributed computing framework, extracting feature vectors in each piece of fragmented data by adopting a convolutional neural network, and generating a feature vector set; according to the invention, full-link optimization from data acquisition to ore body prediction is realized, and the precision and efficiency of geological exploration are improved.

The invention provides an automatic detection method and system based on a GNSS receiver hardware module, and relates to the technical field of electronic equipment testing, and the method comprises the steps: carrying out the analysis of a preprocessed signal data set, extracting a signal feature boundary based on a convex hull algorithm, and carrying out the detection of the signal feature boundary; calculating key performance indexes such as signal acquisition time, tracking precision, bit error rate and receiving sensitivity; comparing the key performance index with a preset performance threshold value, automatically judging whether the hardware module of the GNSS receiver is qualified or not according to a comparison result, and generating a performance judgment result; and automatically generating a structured detection report based on a performance judgment result, and outputting the report to a specified terminal or a storage position. According to the invention, by simulating GNSS signal excitation, response signal acquisition, a signal processing algorithm and an automatic performance judgment criterion, a scheme for efficiently and fully automatically detecting various key performance indexes of the hardware module of the GNSS receiver is realized.

The invention discloses a power distribution network satellite meteorological data analysis method, system and device and a medium, and the method comprises the following steps: obtaining and preprocessing multi-source satellite meteorological data, and generating a time-space continuous meteorological element distribution diagram; extracting disaster associated features through the meteorological element distribution map; constructing a first calculation model to train the disaster associated features, and outputting a disaster distribution confidence interval; carrying out risk space mapping on the disaster distribution confidence interval and the topological structure of the power distribution network to generate a tower overturning risk assessment result; and establishing a multi-level early warning mechanism according to a tower overturning risk assessment result, generating a three-dimensional risk map and deploying a mobile terminal application. Through a multi-source satellite data fusion preprocessing technology, the problem of a space-time blind area caused by a traditional single data source is effectively solved, collaborative acquisition and space-time registration of data of a static meteorological satellite, a polar orbit meteorological satellite and a radar are achieved, and the problems of resolution difference and cloud noise interference of different satellite systems are solved.

To allow one satellite navigation receiver to simultaneously acquire calculation results based on different positioning methods, calculation conditions, or calculation parameters.SOLUTION: For a satellite navigation receiver that measures its own position using satellite navigation systems, including the GPS by the United States and Japan's Quasi-Zenith Satellite System, multiple combinations of positioning methods, calculation conditions, and calculation parameters for positioning calculations will be maintained, and each of these will be applied to a set of distance measurements using a single ranging processing circuit to perform positioning calculations, and all calculation results obtained will be output, making it possible to simultaneously obtain calculation results using different positioning methods, calculation conditions, or calculation parameters by one satellite navigation receiver.SELECTED DRAWING: Figure 1

A satellite communication method, applied to a first communication apparatus, includes determining a global navigation satellite system (GNSS) validity duration. The satellite communication method also determining an extension duration of the GNSS validity duration based on a validity duration of a timing advance command (TAC). The starting point of the extension duration is an ending point of the GNSS validity duration. An ending point of the extension duration is an ending point of the validity duration of the TAC. The validity duration of the TAC is received within the GNSS validity duration. The satellite communication method further includes performing a GNSS measurement or entering an idle state, in response to the GNSS validity duration ending and no information for triggering the GNSS measurement being received.

An example method for Global Navigation Satellite System (GNSS)-based positioning performed by a GNSS device, the method may include receiving, from at least one satellite, a plurality of signals across a series of consecutive epochs and determining delta-ionosphere errors for the series of consecutive epochs, wherein each delta-ionosphere error indicates a change in ionospheric delay in carrier phase measurements taken on at consecutive epochs. The method may also include determining an ionosphere delay correction based on accumulating the delta-ionosphere errors and obtaining a position of the GNSS device based on the determined ionosphere delay correction.

GNSS receivers and systems within such receivers use improvements to reduce memory usage while providing sufficient processing resources to receive and acquire and track E5 band GNSS signals directly (without attempting in one embodiment to receive L1 GNSS signals). Other aspects are also described.

The invention relates to the technical field of anti-deception positioning, and discloses a GNSS equipment anti-deception signal interference positioning capability test system and method, and the system comprises a receiving module, a deception signal generation module, a transmitting module, a reference receiving module, a power dividing module, and a control module. The method corresponds to the system. According to the application, the power of a single-path forwarding type deception signal, a single-path forwarding type deception signal and a single-path forwarding type deception signal can be adjusted in the frequency bands of 1.5 GHz to 1.6 GHz and 1.2 GHz to 1.3 GHz, the power of the deception signal can be adjusted, a plurality of tested objects can be compared and tested at the same time, and the problems of large difference between a test environment and a real environment, low reliability of a test result and the like in the prior art can be effectively solved.

An apparatus for detecting global navigation satellite system (GNSS) spoofing and jamming in a moving asset includes an intake module configured to receive position data relating to the moving asset from multiple position data sources and to generate formatted position data based on the received position data. The apparatus further includes a spoofing and jamming detection module coupled to the intake module. The spoofing and jamming detection module is configured: to receive the formatted position data, the formatted position data including GNSS information relating to the moving asset from a first position data source of the multiple position data sources; to determine whether a received GNSS signal is degraded based on the GNSS information received from the first position data source; and to generate a GNSS jamming alert and / or a GNSS spoofing alert when a degradation of the GNSS signal exceeds a first prescribed threshold.

The invention discloses a dam interior and exterior deformation monitoring method and system based on deep fusion of finite element and GNSS (Global Navigation Satellite System) monitoring. According to the method, surface displacement observation data are obtained through a GNSS receiver, a finite element model is constructed, and the mechanical response of the finite element model under hydrostatic pressure, temperature and seismic load is simulated. According to the first layer, parallel primary fusion is conducted on GNSS data and finite element output through Kalman filtering, particle filtering, a neural network and a Bayesian algorithm; in the second layer, weights are dynamically distributed on the basis of mean square errors of all algorithm results in a sliding window and reference data, and a high-precision displacement estimation value is generated through weighted integration. The system evaluates data quality and model confidence in real time, dynamically optimizes weight distribution, performs early warning based on multistage thresholds of displacement, speed and acceleration, and finally studies and judges structural risks through time sequence decomposition and abnormal mode recognition. According to the invention, the overall precision and reliability of dam deformation monitoring are significantly improved.

The invention relates to the technical field of mine slope deformation monitoring, in particular to a mine slope absolute displacement field monitoring and error self-correcting method and system. The method comprises the following steps: according to Kriging synergetics interpolation and adaptive weighted fusion, processing GB-SAR relative displacement, a projection coefficient matrix and a motion mode partition after atmospheric correction to obtain an absolute displacement field calibrated by a GNSS (Global Navigation Satellite System); processing the displacement period characteristic parameters and the area displacement gradient field by utilizing multi-characteristic fuzzy comprehensive evaluation to obtain a slope local stability comprehensive index field; and high-precision absolute displacement field monitoring and error self-correction are completed by combining a GNSS early warning level, an absolute displacement field calibrated by the GNSS and a local stability comprehensive index and utilizing graded early warning and displacement field traceability analysis. According to the invention, high-precision planar absolute displacement field monitoring, accurate displacement abnormal cause identification and error self-correction can be realized.

A Global Navigation Satellite System (GNSS) receiver receives band-limited composite signals corresponding to respective satellites in the GNSS. The composite signal is composed of a direct path signal and a multipath signal. For chip edge hopping of a pseudo-random code, the receiver obtains correlation samples (I (t) samples and Q (t) samples) of the composite signal and compares them with predetermined filter characteristics (SR (t) samples) corresponding to a filter for band-limiting the composite signal. Based on the comparison, the receiver determines a phase and / or a response time error of the chip edge hopping due to the multipath signal. The receiver adjusts a pseudo-range measurement for the respective satellite and / or adjusts a carrier phase measurement for the respective satellite in accordance with the determined and / or adjusted pseudo-range measurement for the respective satellite. The receiver performs a navigation function using the adjusted pseudo-range and / or carrier phase measurements for the respective satellites.

Various aspects of the present disclosure relate to methods, apparatuses, and systems that support TA for positioning. For instance, implementations provide a set of signalling and procedural enhancements to enable the support of timing advance (TA)-based and / or TA-assisted positioning procedures over non-terrestrial supported networks. Further, measurement reporting procedures are provided for TA-based and / or TA-assisted positioning, as well as application and configuration aspects of the procedures for both single and multiple satellite systems.

The invention discloses a tethered satellite system dynamics modeling method considering perturbation factors. The tethered satellite system dynamics modeling method comprises the steps that a geocentric coordinate system, an orbital coordinate system of a Kepler orbit where a tethered satellite system is located and a body coordinate system of a unit satellite are established; according to the movement of the centroid of the tethered satellite system on the orbit, the generalized coordinates are the distance from the centroid of the system to the earth center and the true anomaly of the orbit, the Lagrange function of the centroid of the system is obtained; according to the movement of the unit star relative to the centroid, the generalized coordinates are the distance between the unit star and the centroid, the relative first rotation angle and the relative second rotation angle, the relative Lagrange function of the unit star is obtained; comprehensively considering perturbation factors to obtain non-spherical earth, third gravitational force and solar pressure perturbation potential energy; establishing a system kinetic equation considering comprehensive perturbation factors; and obtaining a complete Lagrange equation of the tethered satellite system. The error problem caused by the fact that the master satellite directly serves as the mass point of the system and the influence of comprehensive perturbation on system motion is not considered is solved, and the number of the slave satellites is not limited.

A global navigation satellite system (GNSS) positioning measurement method and apparatus. The method includes: receiving first indication information sent by a network device (201), the first indication information being used to indicate whether the terminal performs wireless communication interaction with the network device when performing positioning measurement; and performing the positioning measurement according to the first indication information (202).

The invention provides an information generation method for positioning correction, which is applied to a positioning fusion system in a vehicle-mounted positioning system, and the vehicle-mounted positioning system is also internally provided with a global navigation satellite system and an inertial navigation system. The positioning correction information generation method comprises the following steps: acquiring first positioning information and positioning credibility evaluation information sent by the global navigation satellite system, wherein the positioning credibility evaluation information is information capable of representing the credibility of the first positioning information; acquiring second positioning information sent by the inertial navigation system; residual information between the first positioning information and the second positioning information is determined, a corresponding residual correction weight is determined according to the positioning credibility evaluation information, the residual correction weight is valued in the range [0, 1], and the higher the credibility of the first positioning information is, the larger the residual correction weight is; and correcting the residual error information according to the residual error correction weight to obtain information for positioning correction.