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

Real-time anomaly monitoring method suitable for single-station ionized layer TEC

An anomaly monitoring and ionospheric technology, applied in the field of single-station ionospheric TEC real-time anomaly monitoring, ionospheric TEC anomaly monitoring field, can solve problems such as high false alarm rate, achieve fast speed, improve accuracy and real-time, rich and large. Effects of short and medium-term forecasting techniques before earthquakes

Inactive Publication Date: 2021-11-09
XUZHOU NORMAL UNIVERSITY
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Traditional mathematical statistical methods represented by autoregressive moving average model ARIMA and sliding interquartile range use the statistical characteristics of normal activities to establish a norm distribution, and use statistical tests to determine whether the observed TEC parameters deviate significantly from the norm distribution. The advantage of the class method is that it can identify outliers that deviate from normal values, but has a high false positive rate

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
  • Real-time anomaly monitoring method suitable for single-station ionized layer TEC
  • Real-time anomaly monitoring method suitable for single-station ionized layer TEC
  • Real-time anomaly monitoring method suitable for single-station ionized layer TEC

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0074] From step ①, according to the geographic latitude and longitude of Beijing Station (39.61°N, 115.89°E), using the spherical harmonic expansion coefficient provided by the CODE GIM file, calculate the vertical TEC observations for 100 consecutive days from January 1st to April 10th, 2005 Data, with a time resolution of 2 hours, further convert the vertical TEC observation data into a one-dimensional time series; step ②, use a sliding window with a length of 12 to extract the historical time series and the time series to be monitored, and the lag time γ of the sequence to be monitored is 6 , and further transform the historical time series and the time series to be monitored into a trajectory matrix; Step ③, transform the trajectory matrix of the historical time series and the time series to be monitored into a symmetric matrix, and use the Lanczos-QR combination method to perform singular value decomposition; Step ④ , take the first 5 eigenvectors, and calculate the abnor...

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

A single station ionized layer TEC real-time anomaly monitoring method comprises the steps that firstly, a global map drawing file provided by a European orbit determination center CODE is obtained, and ionized layer vertical TEC at the position where an observation single station is located is obtained through spherical harmonic function expansion and inclination factors; setting a window length, a subsequence length, a principal component number and an error threshold parameter, selecting a TEC historical time sequence, a magnetic storm and other abnormal space precursor in a calm period of the solar activity and the geomagnetic activity as a to-be-monitored sequence, performing singular value decomposition by using Lanczos and QR, and adjusting the parameter to determine an optimal solution according to an abnormal monitoring correct rate and a false detection rate; and carrying out real-time TEC sequence data flow monitoring by utilizing the optimized parameters. According to the method, the accuracy and real-time performance of ionosphere TEC anomaly recognition can be improved, high-quality service is provided for a satellite-ground radio wave propagation engineering system, scientific and reasonable space environment anomaly monitoring can be constructed, and the pre-earthquake medium and short term forecasting technology of a great earthquake is enriched.

Description

technical field [0001] The invention relates to an ionospheric TEC anomaly monitoring method, in particular to a real-time anomaly monitoring method applicable to a single-station ionospheric TEC, and belongs to the technical field of ionospheric space environment forecasting. Background technique [0002] The ionosphere 60-1000km away from the earth's surface contains a large number of ions and free electrons. Under the combined action of solar rays, cosmic rays and other falling ions, the ionosphere will reflect or refract the radio waves passing through it. Additional delays are generated on the link, which reduces the service performance of various space application systems such as remote sensing and telemetry, navigation and positioning, and over-the-horizon radar. The ionospheric additional delay can usually be attributed to the total electron concentration TEC in the direction of the satellite-receiver line of sight. Therefore, eliminating the additional time delay i...

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): G01V9/00G06F17/16G06Q10/04
Inventor 黄智张娜娜
Owner XUZHOU NORMAL 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