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Shortwave direction-finding data set labeling method based on least squares positioning

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

Active Publication Date: 2020-01-14
PLA STRATEGIC SUPPORT FORCE INFORMATION ENG UNIV PLA SSF IEU
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  • Application Information

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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

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  • Shortwave direction-finding data set labeling method based on least squares positioning
  • Shortwave direction-finding data set labeling method based on least squares positioning
  • Shortwave direction-finding data set labeling method based on least squares positioning

Examples

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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...

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Abstract

The invention discloses a shortwave direction-finding data set labeling method based on least squares positioning. The method comprises the steps of firstly, screening out inferior azimuth lines by using the number of intersection points of azimuth lines, and obtaining an initial effective azimuth line set of a signal source; then, correcting the measurement azimuth angle of each direction-findingstation according to the direction-finding error mean of each station relative to a known position signal source; secondly, establishing an optimization model of least squares position estimation, and solving the optimal position of the signal source by adopting a trust region algorithm; and finally, iteratively screening out azimuth lines with relatively large errors and updating the azimuth line set until convergence through robustness control, and finally obtaining a direction-finding station combination corresponding to effective direction lines in the set to serve as an optimal station selecting scheme label of the signal source in the direction-finding data set. Compared with a traditional whole-station fixed direction-finding mode, the positioning precision of a shortwave direction-finding flexible networking scheme is remarkably improved, and the task load of each direction-finding station is reduced.

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

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Application Information

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Patent Type & Authority Applications(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
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