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

A Space Target Tracking Method Based on Perturbed Multi-Gaussian Fitting

A space target and Gaussian fitting technology, applied in the direction of radio wave reflection/re-radiation, instruments, measuring devices, etc., can solve the problems of poor tracking accuracy and achieve the effect of improving tracking accuracy

Active Publication Date: 2019-04-02
NORTHWESTERN POLYTECHNICAL UNIV
View PDF7 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 space target tracking method based on perturbation multi-Gaussian fitting, to solve the problem of poor tracking accuracy in the prior art due to the presence of strong nonlinear perturbation force coupled with the state

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
  • A Space Target Tracking Method Based on Perturbed Multi-Gaussian Fitting
  • A Space Target Tracking Method Based on Perturbed Multi-Gaussian Fitting
  • A Space Target Tracking Method Based on Perturbed Multi-Gaussian Fitting

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0069] Example: Space Object Tracking

[0070] The space target tracking system model composed of dynamic equation (2) and measurement equation (3) is used as a simulation example of the present invention.

[0071] Assume that the position coordinates of the measuring device (radar) are (0,0,0), and the initial value of the target's true orbital state is x 0 =[4.590×10 6 4.388×10 6 3.228×10 6 -4.612×10 3 5.014×10 2 5.876×10 3 ] T , the initial value of the state filter and its covariance are P 0 =diag(400 2 400 2 400 2 0.8 2 0.8 2 0.8 2 ).

[0072] The simulation parameters are set as follows: the number of multi-sensor systems in the first layer of EM framework is 10, the window length of each EM algorithm used for window measurement is 2, and the number of iterations is 5. The number of mixed multi-Gaussian items in the second layer of EM is 5, and the number of iterations is 10.

[0073]The present invention notices that the perturbation force is ...

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 a perturbation multi-Gaussian fitting-based space object tracking method which comprises the following steps: perturbation force applied on a space object is modeled as unknown interference coupled with an object state; under a double layer EM framework, perturbation mean value and covariance are fitted via multi-Gaussian distribution; at a first layer EM, combined state estimation and identification of first order moment of perturbation can be realized; at a second layer EM, first and second order moment of perturbation is identified via mixed multi-Gaussian fitting, and space object state estimation and covariance are fed back and corrected in a combined manner via use of the perturbation mean value and covariance through design of a combined correction filter. The method disclosed in the invention can help solve a problem that poor tracking precision is caused due to strong non-linear perturbation force coupled to the state via technologies of the prior art.

Description

technical field [0001] The invention belongs to the technical field of space target tracking, and relates to a space target tracking method based on perturbed multi-Gaussian fitting. Background technique [0002] The research on tracking technology of space objects (including satellites, spacecraft and space debris) is of great significance to national defense construction, economic development, and scientific research. (1) With the vigorous development of aerospace technology and the continuous enhancement of human ability to use space, the strategic position of space in national defense, politics, scientific research and other aspects is also increasing. The level of space utilization and control has become an important criterion to measure the overall strength of a country; (2) With the increasing amount of space junk around the earth, it has seriously threatened the safety of spacecraft, and the tracking and The demand for surveillance is becoming more and more urgent; ...

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 Patents(China)
IPC IPC(8): G01S13/70
CPCG01S13/70
Inventor 王小旭王永刚王子恬宋宝潘泉梁彦
Owner NORTHWESTERN POLYTECHNICAL 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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com