9 results about "Atmospheric refraction" patented technology

The application discloses a kind of atmospheric time delay calculation method based on ray tracing, the present application relates to atmospheric time delay calculation technical field, the specific content of the present application is: obtaining multi-source meteorological data, extracting temperature, specific humidity, three kinds of key meteorological parameters such as air pressure, by optimizing interpolation to complete vertical layering blank and correct grid deviation, to construct three-dimensional atmospheric parameter field of time and space continuity;Based on atmospheric physical characteristics and electromagnetic wave propagation principle, calculate atmospheric refractive index and its gradient;With station location as starting point, set the angle of incidence of electromagnetic wave, adopt nonlinear dynamic step length strategy to track propagation path, and compare actual and vacuum propagation time to obtain time delay result.The present application considers data integrity and timeliness, avoids experience model deviation, and improves the calculation precision of atmospheric time delay.

This invention relates to the field of satellite simulation technology, and discloses a method, device, and electronic equipment for simulating ultra-high resolution multi-view satellite images. The method includes: constructing a rigorous imaging geometric model between ground points in a preset three-dimensional scene and image points of a satellite sensor based on atmospheric refraction correction and solid tide correction; generating global illumination realistic shadows under the rigorous imaging geometric model based on solar radiation, and simulating the pixel output of the satellite sensor according to the global illumination realistic shadows to obtain a multi-view satellite image model; simulating different view images of the satellite sensor based on the multi-view satellite image model to obtain multi-view satellite images, and determining the rational function model of the rigorous imaging geometric model. This invention can overcome the limitations of traditional DSM / DOM data sources, taking into account the requirements of multi-view, ultra-high resolution, ultra-high precision, and fine detail, and achieving engineering simulation output of multi-view satellite images at the 0.2m level.

The application discloses a ground-based space target monitoring radar atmospheric refraction error correction method. The ground-based space target monitoring radar atmospheric refraction error correction method comprises the following steps: based on the vertical distribution of atmospheric refraction index and the radar elevation angle measurement value, the signal propagation path is accurately recursively calculated by using the refraction theorem and geometric relationship, the corresponding elevation angle, geocentric angle and target apparent distance of different heights are calculated, and a one-to-one corresponding relationship between the apparent distance and the distance, the elevation angle measurement error is established; then, according to the radar distance measurement value, the radar distance and the elevation angle measurement error are calculated by interpolation, and finally, the distance and the elevation angle measurement error caused by the atmospheric refraction of the space target monitoring radar are corrected. The ground-based space target monitoring radar atmospheric refraction error correction method has higher error calculation precision under the condition of given layer interval, has more stable error correction performance, and can more accurately correct the atmospheric refraction error of the space target monitoring radar.

Disclosed is a method for joint estimation of stellar atmospheric refraction and star tracker attitude, including: capturing, by a star tracker, an image of stars, and recognizing the image to obtain a matching relationship between an observed star and a reference star; transforming the reference star to a terrestrial reference frame based on time and position of observation to obtain a true zenith distance of the reference star; calculating an estimated stellar atmospheric refraction based on a simplified atmospheric refraction model, the true zenith distance, and an initial atmospheric refractive coefficient, and subjecting the reference star to stellar atmospheric refraction compensation; calculating the star tracker attitude, and re-projecting the observed star to the terrestrial reference frame to calculate the observed stellar atmospheric refraction and the stellar atmospheric refraction error; if the observed stellar atmospheric refraction is misaligned with the estimated stellar atmospheric refraction, adjusting the atmospheric refractive coefficient based on the stellar atmospheric refraction error, and then recompensating the reference star and calculating the attitude, till the observed stellar atmospheric refraction is aligned with the estimated stellar atmospheric refraction, whereby joint estimation results of the stellar atmospheric refraction and the star tracker attitude are obtained. The disclosure realizes real-time, autonomous estimation and cancelation of stellar atmospheric refraction without being limited by external sensors or empirical formulae.

The application provides a foundation SAR environment error correction method and device, comprising: taking a radar reflector as a reference target for radiation calibration of the foundation SAR, and obtaining reference datum; obtaining accumulated original displacement data of the foundation SAR, and comparing and verifying the reference datum; reading real-time meteorological element data, vibration data and position data of a monitoring point; establishing an atmospheric refractive index model based on the meteorological element data, and calculating atmospheric effect error; calculating offset error through the vibration data; obtaining environment correction error based on the offset error and the atmospheric effect error; obtaining corrected foundation SAR data based on the environment correction error; and comparing and verifying the corrected foundation SAR data with the reference datum. The scheme combines meteorological data with vibration data, displacement data and the like, has good environment error correction precision and feasibility, and can verify the accuracy of correction through the reference datum of the device, and provides a basis for slope stability analysis of a monitoring area.

This invention discloses a method and system for predicting tropospheric wet delay based on a physical information neural network. The method first collects real-time meteorological observation data from GNSS stations and preprocesses it. Then, it constructs a tropospheric wet delay prediction model, including a data input module, a hierarchical feature extraction module, a physical information neural network calculation module, and an output module. Next, it trains the tropospheric wet delay prediction model using a training dataset. Finally, it uses the trained tropospheric wet delay prediction model to predict tropospheric wet delay. By explicitly embedding atmospheric refraction physical constraints into the loss function through the physical information neural network framework, it achieves collaborative training and stable extrapolation of data-driven and physical constraints. This invention provides a new paradigm for the unified quantification of physical constraints and uncertainties in high-precision GNSS geodetic data processing and application technology, and offers a more comprehensive and reliable technical solution for the practical application of tropospheric delay correction.

This invention discloses a method for constructing a two-dimensional dynamic grid non-uniform atmospheric parameter optimization and correction model. The method includes dividing the terrain into horizontal regions according to land cover type, collecting meteorological data from different horizontal regions to construct a meteorological data variation model, calculating the atmospheric refractive index above the land cover in the corresponding horizontal region, performing vertical layering to obtain a two-dimensional dynamic grid, constructing a two-dimensional spatial nonlinear atmospheric refractive index matrix, dividing the grid into radial distances according to the two-dimensional dynamic grid to obtain the grid transmission distance, performing atmospheric correction and discrete summation to obtain the radial distance correction value, calculating atmospheric disturbance error and performing atmospheric compensation to obtain the line-of-sight deformation, and calculating the micro-deformation of urban infrastructure through the spatial relationship between a microwave radar interferometer and the observation point. This method can consider changes in meteorological factors in both the vertical and horizontal directions, adapting to complex terrain and variable meteorological conditions, thereby improving the measurement accuracy of microwave reflectometers for micro-deformation of urban infrastructure.

The application discloses a shipborne marine atmospheric boundary layer refractive index profile detection system and method, relates to the technical field of marine atmospheric environment monitoring and electromagnetic wave propagation guarantee, and comprises the following steps: acquiring sea-air downward infrared radiation spectrum data and sea surface air temperature, relative humidity and air pressure data; constructing a background atmospheric profile by using reanalysis data, and correcting the initial profile bottom layer by using the sea surface observation air temperature, relative humidity and air pressure data to form a prior state vector; constructing an inversion cost function containing an observation residual term, a background prior term and a sea surface boundary constraint term, and inverting to obtain an atmospheric temperature profile and a relative humidity profile; and calculating an atmospheric refractive index profile according to the temperature profile, the relative humidity profile and the air pressure profile. The application can continuously acquire the marine atmospheric refractive index profile under the shipborne dynamic observation condition, and provides reliable data support for marine electromagnetic propagation environment analysis and waveguide diagnosis.

This invention discloses a method for analyzing satellite imagery errors using an electro-optical theodolite based on residual correlation analysis. The method includes establishing a measurement residual model to obtain the azimuth and elevation angle measurement residuals; constructing an atmospheric refraction correction error model based on elevation angle measurement residual data from multiple electro-optical theodolites at different stations, performing linear fitting to obtain the atmospheric refraction correction coefficient, and correcting the elevation angle measurement residual data; performing cross-correlation calculations on the azimuth and elevation angle measurement residuals corrected for atmospheric refraction to obtain the maximum normalized cross-correlation factor; if the cross-correlation factor is less than 0.6, the vertical axis tilt angle correction error is considered not a major error factor in the measurement residuals; if the cross-correlation factor is greater than or equal to 0.6, the vertical axis tilt angle correction error is considered a major error factor in the measurement residuals. This method, by systematically separating error factors, can be extended to analyze other error factors, demonstrating strong operability and wide applicability in practical data analysis.