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

Forgetting factor RLS-based small signal model aeromagnetic compensation method

A technology of small signal model and forgetting factor, which is applied in the field of geophysical exploration, can solve the problem of reducing the accuracy of the parameters of the solution results, and achieve the effect of improving the quality of compensation

Active Publication Date: 2021-10-22
JILIN UNIV
View PDF11 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005]The purpose of the present invention is to provide a small signal model aeromagnetic compensation method based on the forgetting factor RLS, to solve the problem of geomagnetic The gradient and its own error lead to the problem that the accuracy of the solution result parameters is reduced. By introducing the forgetting factor RLS method, the solution parameters of the small signal model are compensated in real time, which further improves the accuracy of the aeromagnetic compensation.

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
  • Forgetting factor RLS-based small signal model aeromagnetic compensation method
  • Forgetting factor RLS-based small signal model aeromagnetic compensation method
  • Forgetting factor RLS-based small signal model aeromagnetic compensation method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0075] The present invention will be further described below in conjunction with embodiment:

[0076] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, but not to limit the present invention. In addition, it should be noted that, for the convenience of description, only some structures related to the present invention are shown in the drawings but not all structures.

[0077] It should be noted that like numerals and letters denote similar items in the following figures, therefore, once an item is defined in one figure, it does not require further definition and explanation in subsequent figures. Meanwhile, in the description of the present invention, the terms "first", "second", etc. are only used to distinguish descriptions, and cannot be understood as indicating or implying relative...

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 relates to a forgetting factor RLS-based small-signal model aeromagnetic compensation method, which comprises the following steps of: establishing an aeromagnetic compensation model: according to a T-L model, representing an aircraft interference magnetic field by superposing a permanent magnetic field, an induced magnetic field and an eddy magnetic field, establishing a small-signal model, solving direction parameters of four flying directions of an aircraft, obtaining a constant field, an induced magnetic field parameter and an eddy magnetic field parameter through an LS algorithm; carrying out parameter solution on the calibration flight data based on a small signal model based on a forgetting factor RLS, and calculating 16 parameters of a permanent field, an induction field and an eddy magnetic field through the small signal model; compensating the test flight data, and calculating direction parameters related to the flight direction; updating the solution direction parameters in real time by introducing a forgetting factor RLS algorithm; and performing simulation experiment and result analysis. According to the method, the direction parameters solved by the small signal model are updated in real time by using the forgetting factor RLS method, and the compensation quality of the aeromagnetic interference is improved.

Description

technical field [0001] The invention belongs to the technical field of geophysical exploration, and in particular relates to an aeromagnetic compensation method for a small signal model based on a forgetting factor RLS. Background technique [0002] Aeromagnetic detection is one of the important geophysical exploration methods, mainly used in mineral exploration, archaeological mapping (archaeological mapping), underground pipeline positioning and unexploded ordnance detection. During helicopter detection, the magnetic field generated by the helicopter platform will affect the accuracy of the magnetic sensor measurement. A simple way to reduce the magnetic interference of the aircraft platform is to hang the magnetic sensor under the aircraft by a long drag to increase the distance between the magnetic sensor and the aircraft, but this design will introduce the problem of direction and position errors. Another method is to rigidly fix the magnetic sensor on the aircraft, bu...

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): G01V13/00G01V3/00
CPCG01V13/00G01V3/00
Inventor 周志坚刘志龙王一航孙卫杰李文铎
Owner JILIN UNIV
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