A labeling method for short-wave direction-finding datasets based on least-squares positioning

A technology of least squares and data sets, which is applied in the field of labeling of shortwave direction finding data sets based on least squares positioning, can solve problems such as the lack of short wave direction finding data sets, solve ill-conditioned optimization problems, speed up convergence, and improve The effect of convergence speed

Active Publication Date: 2021-08-17
PLA STRATEGIC SUPPORT FORCE INFORMATION ENG UNIV PLA SSF IEU
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The present invention aims at the lack of the most optimal station scheme label in the shortwave direction finding data set under the existing "total station direction finding" mode, which cannot be directly used as a deep learning training set to predict the deficiencies of the shortwave direction finding flexible networking scheme, and provides A labeling method for shortwave direction finding data sets based on least squares positioning to improve the positioning accuracy of the shortwave direction finding flexible networking scheme and reduce the task load of each direction finding station

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 labeling method for short-wave direction-finding datasets based on least-squares positioning
  • A labeling method for short-wave direction-finding datasets based on least-squares positioning
  • A labeling method for short-wave direction-finding datasets based on least-squares positioning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0049] Such as figure 1 As shown, a method for labeling short-wave direction-finding datasets based on least squares positioning, including:

[0050] Step S101: For the signal source in the short-wave direction-finding data set, calculate the number of intersections of the bearing lines measured by each direction-finding station, delete the inferior bearing lines whose number of intersections is 0, and obtain the effective bearing line set and effective bearing of the signal source corner collection;

[0051] Step S102: Calculate the mean value of the direction-finding error of each direction-finding station for the signal source, and correct each azimuth in the effective azimuth set corresponding to the signal source;

[0052] Step S103: Take the intersection of the two azimuth lines with the largest number of intersection points of the signal source, and calculate the approximate position of the signal source according to the triangle positioning rule;

[0053] Step S104: ...

Embodiment 2

[0082] Such as figure 2 As shown in , another method for labeling shortwave direction-finding datasets based on least squares positioning is aimed at having n direction-finding stations st j ,j∈[1,n], the shortwave direction finding data set S of N samples in the "total station direction finding" mode = {s 1 ,s 2 ...s i ...s N},include:

[0083] Step S201: For the target signal source s i ∈S,i∈[1,N], the azimuth line (orientation line) measured by each direction-finding station is: l 1 , l 2 ... l j ... l n , the azimuth is the angle θ between the bearing line and the true north direction 1 ,θ 2 ... θ j ... θ n ;Calculate bearing line l j The number of intersections M j , excluding the number of intersections M j = 0 inferior bearing line, get the signal source s i The set of effective bearing lines L i ={l 1 , l 2 ,...,l m}, the set of effective azimuth angles θ i ={θ 1 ,θ 2 ,...,θ m}, m≤n, and set c=0 at the same time, c is the number of times to sol...

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 shortwave direction finding data set labeling method based on least squares positioning. The method first uses the number of intersection points of bearing lines to screen out inferior bearing lines to obtain an initial effective bearing line set of a signal source; then, according to The mean value of the direction-finding error of each direction-finding station relative to the known position signal source is used to correct the measurement azimuth of each station; then, the optimal model of least squares position estimation is established and the optimal position of the signal source is solved by using the trust region algorithm; finally , through robust control, iteratively screen out the azimuth lines with large errors and update the azimuth line set until convergence, and finally obtain the direction-finding station combination corresponding to the effective direction lines in the set, as the most optimal signal source in the direction-finding data set Station Scheme tab. Compared with the traditional all-station fixed direction-finding mode, the invention significantly improves the positioning accuracy of the short-wave direction-finding flexible networking scheme, and reduces the task load of each direction-finding station.

Description

technical field [0001] The invention belongs to the technical field of shortwave positioning, and in particular relates to a method for labeling shortwave direction finding data sets based on least square positioning. Background technique [0002] Short-wave positioning mainly adopts AOA (Angle of Arrival) technology, using multiple direction-finding stations in different positions to measure the azimuth line of signal arrival through array antennas and cross them to realize the position estimation of the target radiation source. Short-wave direction finding cross positioning belongs to passive positioning, which has the characteristics of safety, easy implementation, low cost, simple assembly and long positioning distance. It is the most mature and practical positioning method at present. Influenced by factors such as station selection scheme, intersection positioning algorithm and map accuracy, when a positioning system is completed, the latter two factors are basically de...

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): G01S5/06G06F30/20
CPCG01S5/06
Inventor 张静冉晓敏杜剑平蒋俊沈明孙桂斌王雯霞徐峥
Owner PLA STRATEGIC SUPPORT FORCE INFORMATION ENG UNIV PLA SSF IEU
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap