Moving-target adaptive direction-finding, positioning and tracking method based on multi-star collaboration

A technology of direction finding and positioning and moving targets, which is applied in the field of space-based moving target tracking, can solve the problems of loss of positioning accuracy and reduction of computing efficiency, and achieve the effect of ensuring superiority, high initialization accuracy, and small filter stability

Active Publication Date: 2018-11-16
SHANGHAI SATELLITE ENG INST
View PDF3 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, there are few introductions on the multi-satellite cooperative moving target direction finding positioning and tracking method. After literature search, the Chinese invention patent application number 201610172124.7, the patent name is "Multi-sensor passive direction finding and positioning method", the estimation method is first through a The first-order prediction transfer matrix extrapolates all the observation data of multiple sensors to the positioning time, and the non-real-time measurement is efficient to estimate, which reduces the calculation efficiency while losing the positioning accuracy.

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
  • Moving-target adaptive direction-finding, positioning and tracking method based on multi-star collaboration
  • Moving-target adaptive direction-finding, positioning and tracking method based on multi-star collaboration
  • Moving-target adaptive direction-finding, positioning and tracking method based on multi-star collaboration

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0056] The present invention will be described in detail below in conjunction with specific embodiments. The following examples will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form. It should be noted that for those of ordinary skill in the art, several changes and improvements can be made without departing from the concept of the present invention. These all belong to the protection scope of the present invention.

[0057] The multi-satellite cooperative moving target adaptive direction finding, positioning and tracking method provided by the present invention, such as figure 1 As shown, the state initialization process adopts a universal constant speed model, and uses redundant measurement information for least square initialization to achieve high initialization accuracy; the estimation algorithm takes into account accuracy and efficiency, based on 12-parameter linearity State transfer model and li...

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 a moving-target adaptive direction-finding, positioning and tracking method based on multi-star collaboration. The method comprises following steps: multiple satellites in orbitsynchronously or asynchronously acquire time-varying sight line vector information of a moving target, one satellite is selected as a primary satellite, and the other satellites are used as auxiliarysatellites; the auxiliary satellites send sight line measurement data and positioning assisted data to the primary satellite through inter-satellite links; least square estimation of an initial stateis performed by a constant-velocity motion model, and an initial covariance matrix is set according to measurement noise of a target azimuth; a motion state and a covariance matrix of the target at the current observation moment are predicted by adopting a 12-state linear motion model; a Jacobian matrix of azimuth measurement values is calculated through combination of the positioning assisted data and the predicted motion state at the current moment, filter gain is calculated according to the measurement noise covariance matrix, and finally, the motion state of the target at the current moment is estimated according to real measurement.

Description

Technical field [0001] The invention relates to a space-based space moving target tracking method, and more specifically, to a space moving target positioning and tracking method based on pure azimuth measurement using a multi-satellite coordination method. Background technique [0002] The monitoring of space non-cooperative targets such as space debris has received increasing attention from all countries. With the improvement of the requirements for measurement accuracy, observation field, anti-interference, etc., the development of space-based passive positioning technology based on photoelectric sensor pure azimuth measurement (direction finding positioning) is a general trend. Due to the lack of ranging information under the direction finding system, multi-satellite collaborative observation can achieve the target's three-dimensional space positioning. Considering that it is difficult to keep the same observation start time and observation frequency under multi-satellite co...

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): G01C21/24
CPCG01C21/24
Inventor 梁金金宋效正陆国平俞洁吕旺
Owner SHANGHAI SATELLITE ENG INST
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