Ionospheric parameter inversion and large-scale model reconstruction method based on wide-area distributed short-wave network

A technology of model reconstruction and parameter inversion, applied to radio wave measurement systems, instruments, etc., can solve the problems of expensive station construction, maintenance, management and use of funds, and achieve the effect of optimizing short-wave frequency resources

Inactive Publication Date: 2018-08-17
WUHAN UNIV
View PDF6 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, detection methods for ionospheric parameters include ionospheric vertical measurement, oblique measurement, and oblique return detection. These methods require independent transceiver systems and information processing systems, and can only obtain the ionization In order to obtain the ionospheric parameters over the entire country, a large number of ionospheric vertical measurement, oblique measurement and oblique return detection systems must be established, which requires a lot of expenses for station construction, maintenance, management and use

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
  • Ionospheric parameter inversion and large-scale model reconstruction method based on wide-area distributed short-wave network
  • Ionospheric parameter inversion and large-scale model reconstruction method based on wide-area distributed short-wave network
  • Ionospheric parameter inversion and large-scale model reconstruction method based on wide-area distributed short-wave network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0036] figure 1 Shows the schematic diagram of the ionospheric parameter inversion and large-scale model reconstruction method based on the wide-area distributed shortwave network. Based on the existing shortwave network transceiver equipment and a large number of spontaneously transmitted and self-received communication signals, by acquiring the time delay of each signal propagating through the ionosphere, under the assumption of the ionospheric model, the current local ionospheric parameter model is obtained based on the inversion algorithm. In the present invention, each transceiver station only needs to be completely synchronized in time and can collect signals of the same frequency at the same time, and other processing is performed by software for back-end digital signal processing.

[0037] figure 2 Shows the flow chart of the method for inversion of ionospheric parameters and large-scale model reconstruction based on the wide-area distributed shortwave network provided by...

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 an ionospheric parameter inversion and large-scale model reconstruction method based on a wide-area distributed short-wave network. A short-wave cooperative communication signal transmitted in a network is collected synchronously; according to the signal quality received by each station, proper receiving stations are selected and signal delays between all transmitting stations and the receiving stations are estimated respectively; time delay data obtained by each receiving station are transmitted to a central station server; and then a current local ionospheric parameter is inverted in the central station server and large-scale ionospheric model reconstruction is performed accordingly. According to the invention, current ionospheric cutoff frequency, bottom heightand maximum electron concentration height parameter inversion and the upper-space large-scale ionospheric model reconstruction can be realized without any special design of an ionospheric detection device, so that lots of station construction, maintenance, management, and usage costs are saved; and the obtained ionospheric model parameters have the important application value in high-precision positioning of short-wave signals and sky-wave radar target tracking.

Description

Technical field [0001] The invention belongs to the technical field of ionospheric detection and communication, and specifically relates to a method for ionospheric parameter inversion and large-scale model reconstruction based on a wide-area distributed shortwave network. Background technique [0002] Shortwave communication has the characteristics of simple equipment, mature hardware technology, flexible communication methods, long communication distance, and its propagation medium is not easily destroyed through ionospheric refraction. It has been widely used in government, military, diplomatic, and commercial departments. However, the ionosphere is a non-linear time-varying medium. It is affected by factors such as the sun and geomagnetism. The ionosphere has very complex characteristics such as "space-time-frequency-polarization", and it has serious effects on the propagation of short-wavelength electromagnetic waves. Important effects are mainly manifested in the effects of...

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): G01S7/41
CPCG01S7/417
Inventor 高火涛高可至
Owner WUHAN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products