Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Verification Method of Satellite Gravitational Gradient Data Accuracy Based on Tensor Invariant Theory

A gravitational gradient and accuracy verification technology, applied to measuring devices, instruments, ground navigation, etc., can solve problems such as unusable, poor performance of satellite data, and low accuracy

Active Publication Date: 2021-09-14
自然资源部国土卫星遥感应用中心
View PDF14 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide a method for verifying the accuracy of satellite gravitational gradient data, which is used to solve the problem of poor usability or even unusability of satellite data caused by the low accuracy of current satellite gravitational gradient data

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Verification Method of Satellite Gravitational Gradient Data Accuracy Based on Tensor Invariant Theory
  • Verification Method of Satellite Gravitational Gradient Data Accuracy Based on Tensor Invariant Theory
  • Verification Method of Satellite Gravitational Gradient Data Accuracy Based on Tensor Invariant Theory

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0149] Embodiment 1 provides a method for verifying the accuracy of satellite gravitational gradient data based on tensor invariance theory, the verification method comprising the following steps:

[0150] Step A: Overall accuracy verification of the satellite gravitational gradient tensor.

[0151] Wherein, the step A includes the following steps:

[0152] Step A1: Accuracy verification of gravitational gradient data before calibration;

[0153] Specifically, the step A1 includes the following steps:

[0154] Step A1-1: Build a tensor-invariant system {I 1 ,I 2 ,I 3 }, the tensor invariant system {I 1 ,I 2 ,I 3 } The expression is:

[0155] I 1 =V 11 +V 22 +V 33 (Formula 14-1)

[0156]

[0157]

[0158] In the formula: I 1 is the first invariant of a tensor-invariant system; I 2 is the second invariant of the tensor-invariant system; I 3 is the third invariant of the tensor-invariant system; V 11 is the satellite gravitational gradient component in the ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a method for verifying the accuracy of satellite gravitational gradient data based on the tensor invariant theory, comprising the following steps: verifying the overall accuracy of the satellite gravitational gradient tensor and verifying the component-independent accuracy of the satellite gravitational gradient tensor; Component-independent accuracy verification of the tensor includes independent accuracy verification of each component of the satellite gravitational gradient tensor before and after calibration. The method for verifying the accuracy of satellite gravitational gradient data based on the tensor invariant theory disclosed by the present invention uses the tensor invariant characteristics of satellite gravitational gradient observations to calibrate gravity gradient measurement satellite gravity gradiometers based on the tensor invariant theory In the previous and subsequent accuracy verification, the overall accuracy verification of the six components of the gravitational gradient tensor was realized; by introducing a priori gravity field model for calibration, the six components of the main diagonal and off-diagonal of the gravitational gradient tensor can be verified. Accuracy independently verified.

Description

technical field [0001] The invention relates to the technical field of geodesy, in particular to a method for verifying the accuracy of satellite gravitational gradient data based on tensor invariance theory. Background technique [0002] Satellite gravitational gradient data are crucial for determining the shortwave fine structure in the Earth's gravitational field. The accuracy of satellite gravitational gradient data is an important prerequisite for restricting the accuracy of the shortwave spectrum in the Earth's gravitational field. To this end, satellite gravitational gradient measurements require calibration and accuracy verification. Accuracy verification of satellite gravitational gradient observations is an important evaluation process to ensure stable and reliable calibration results, and a key step in the quality inspection of observations. At present, the accuracy verification before and after the external calibration of the satellite is based on the trace-ind...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G01C25/00G01C21/04
CPCG01C21/04G01C25/00
Inventor 朱广彬常晓涛瞿庆亮刘伟窦显辉
Owner 自然资源部国土卫星遥感应用中心
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com