X-ray pulsar recognition method based on Hilbert transformation

An identification method and X-ray technology, applied in astronomical navigation and other directions, can solve problems such as a large amount of computing time and storage space, and achieve the effect of less computing space and storage space, effective identification effect, and suppression of high-frequency noise.

Inactive Publication Date: 2018-04-10
HARBIN INST OF TECH
View PDF6 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] At present, the conventional method for identifying the X-ray pulsar observation profile signal is to use the amplitude information of the obs

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
  • X-ray pulsar recognition method based on Hilbert transformation
  • X-ray pulsar recognition method based on Hilbert transformation
  • X-ray pulsar recognition method based on Hilbert transformation

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0020] The specific implementation of the present invention will be described below in conjunction with the embodiments and the drawings.

[0021] Implementation step 1: First, the standard profile data of 11 observed X-ray pulsars provided by EPN are included in the navigation database. Therefore, the set of observed X-ray pulsars is: {B1257+12, B1953+29, J0621+1002, J1012+5307, J1518+4904, J1640+2224, J1643-1224, J1713+0747, J1730-2304, J1744- 24A, J2051-0827}, the samples of this set are classified into classes numbered {1,...,11}.

[0022] Step 2: Extract the instantaneous amplitude feature vector of the observed contour signal, use the minimum distance classifier to calculate the distance between it and each standard contour feature vector, and obtain a set of identification space distances.

[0023] Perform step 3: Select the X-ray pulsar sequence number corresponding to the smallest value in the set as the identification result.

[0024] Table 1 The calculation results of 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 provides an X-ray pulsar recognition method based on Hilbert transformation, belongs to the field of weak signal processing, and relates to a profile recognition method. The X-ray pulsarrecognition method solves the problem that during current recognition, a large amount of operating time and storage space are occupied, and meanwhile, the influence of high frequency noise can be effectively inhibited. The method comprises the steps of 1, conducting Hilbert transformation on a standard profile and an observation profile signal; 2, extracting instantaneous amplitude characteristics of a standard profile signal and a profile signal to be recognized and utilizing a characteristic vector of the standard profile to construct a characteristic database; 3, calculating the spatial distances of characteristic vectors of the observed profile signal and all characteristic vectors in the characteristic database respectively, wherein when the distance is the minimum, the corresponding pulsar sequence is a recognition result. Inhibiting properties of the high frequency noise by the Hilbert transformation are utilized, instantaneous amplitude characteristics are extracted to designa minimum distance classifier to complete high speed recognition of a pulsar signal, and the X-ray pulsar recognition method is applicable to quickly recognizing an X-ray pulsar.

Description

technical field [0001] The invention relates to a contour identification method in the field of weak signal processing, in particular to an X-ray pulsar identification method based on Hilbert transform. Background technique [0002] X-ray pulsars are a type of neutron star whose radiation photon energy is concentrated in the X-ray frequency band, has a stable rotation period, and is far away from the solar system. X-ray pulsar navigation is free from human interference and can realize completely autonomous navigation. At the same time, X-ray pulsar navigation can solve the navigation problem of large-scale space-time. [0003] X-ray pulsars are far away from the solar system, and the photons propagating to the spacecraft are easily overwhelmed by the background noise of the universe, and the photon signals that can be received are very weak. The photons are folded according to a certain period to obtain the observation profile. After the contour extraction of the X-ray pul...

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
IPC IPC(8): G01C21/02
CPCG01C21/02
Inventor 金晶王龙奇姜宇李晓宇
Owner HARBIN INST OF TECH
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