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

Inertial navigation precision compensation method of local polynomial model considering frequency domain characteristics

A technology of polynomial model and frequency domain characteristics, applied in the field of perturbed gravity calculation, can solve problems such as affecting accuracy, achieve the effect of ensuring correctness, suppressing the influence of grid errors, and improving model resolution

Pending Publication Date: 2021-04-20
CHANGSHA UNIVERSITY
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The traditional airspace local polynomial grid technology to obtain the disturbed gravity component only uses the spatial position information between the estimated point and the observed point, resulting in gridding errors caused by the disturbed gravity during the interpolation process, thus affecting the accuracy

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
  • Inertial navigation precision compensation method of local polynomial model considering frequency domain characteristics
  • Inertial navigation precision compensation method of local polynomial model considering frequency domain characteristics
  • Inertial navigation precision compensation method of local polynomial model considering frequency domain characteristics

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0020] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

[0021] refer to figure 1 , an embodiment of the present invention provides a method for compensating inertial navigation accuracy of a local polynomial model considering frequency domain characteristics, comprising the following steps:

[0022] S100. Remove the low-frequency information model value of the three components of the disturbed gravity at the observation point calculated based on the global gravity field model from the observed values ​​of the three components of the disturbed gravity to obtain a residual value of the three co...

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 an inertial navigation precision compensation method of a local polynomial model considering frequency domain characteristics; the method comprises the following steps: removing a low-frequency information model value of a disturbance gravity component of an observation point calculated on the basis of a global gravity field model from an observation value of the disturbance gravity component to obtain a residual value of the disturbance gravity component of the observation point; applying a spatial domain local polynomial grid algorithm based on the residual value of the disturbance gravity component of the observation point, and calculating the residual value of the disturbance gravity component of the to-be-estimated point; and combining the residual value of the disturbance gravity component of the to-be-estimated point with the low-frequency information model value of the disturbance gravity component of the to-be-estimated point calculated based on the global gravity field model to obtain a disturbance gravity component calculated value of the to-be-estimated point. According to the method, the low-frequency information of the disturbance gravity component is strictly correct in principle, the spectral characteristics of the disturbance gravity component are considered to suppress the grid error influence in a medium-long wave band, and the spatial domain local polynomial technology is utilized to improve the model resolution.

Description

technical field [0001] The invention relates to the technical field of disturbance gravity calculation, in particular to an inertial navigation precision compensation method of a local polynomial model considering frequency domain characteristics. Background technique [0002] Disturbed gravity is the essential basic information for correcting the mechanical arrangement of the inertial navigation system, and is a key element for improving the navigation and positioning accuracy of the inertial navigation system. The traditional airspace local polynomial grid technology to obtain the disturbed gravity component only uses the spatial position information between the estimated point and the observed point, which leads to the gridding error caused by the disturbed gravity during the interpolation process, thus affecting the accuracy. Contents of the invention [0003] The present invention aims to solve at least one of the technical problems existing in the prior art. For thi...

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 Applications(China)
IPC IPC(8): G01C25/00
Inventor 吴鹏聂俊伟冯璐黄雅静王兴靖守让童凯方新怡
Owner CHANGSHA UNIVERSITY
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