Research on a robust positioning algorithm for mine proximity detectio

In view of problems of existing positioning algorithms for mine proximity detection that ranging error is large due to non-line-of-sight and other factors, and solution of ranging equation set does not converge under complex conditions, a robust positioning algorithm for mine proximity detection was...

Full description

Bibliographic Details
Main Authors: CHEN Kang, BAO Jianjun, WANG Wei
Format: Article
Language:zho
Published: Editorial Department of Industry and Mine Automation 2018-06-01
Series:Gong-kuang zidonghua
Subjects:
Online Access:http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.17321
_version_ 1797868951576772608
author CHEN Kang
BAO Jianjun
WANG Wei
author_facet CHEN Kang
BAO Jianjun
WANG Wei
author_sort CHEN Kang
collection DOAJ
description In view of problems of existing positioning algorithms for mine proximity detection that ranging error is large due to non-line-of-sight and other factors, and solution of ranging equation set does not converge under complex conditions, a robust positioning algorithm for mine proximity detection was proposed, namely weighted LM algorithm, which combines Gauss-Newton algorithm, weighted least square algorithm and Levenberg-Marquardt algorithm. The algorithm adds ranging error information to nonlinear iterative solution by adding weight, and adds damping coefficient in iterative process, which greatly improves positioning stability and robustness under precondition of ensuring convergence speed of iteration. Test results show that the weighted LM algorithm has high positioning efficiency and accuracy.
first_indexed 2024-04-10T00:05:02Z
format Article
id doaj.art-e828929492bb4d018f75defb0b9f215f
institution Directory Open Access Journal
issn 1671-251X
language zho
last_indexed 2024-04-10T00:05:02Z
publishDate 2018-06-01
publisher Editorial Department of Industry and Mine Automation
record_format Article
series Gong-kuang zidonghua
spelling doaj.art-e828929492bb4d018f75defb0b9f215f2023-03-17T01:19:37ZzhoEditorial Department of Industry and Mine AutomationGong-kuang zidonghua1671-251X2018-06-01446111510.13272/j.issn.1671-251x.17321Research on a robust positioning algorithm for mine proximity detectioCHEN KangBAO JianjunWANG WeiIn view of problems of existing positioning algorithms for mine proximity detection that ranging error is large due to non-line-of-sight and other factors, and solution of ranging equation set does not converge under complex conditions, a robust positioning algorithm for mine proximity detection was proposed, namely weighted LM algorithm, which combines Gauss-Newton algorithm, weighted least square algorithm and Levenberg-Marquardt algorithm. The algorithm adds ranging error information to nonlinear iterative solution by adding weight, and adds damping coefficient in iterative process, which greatly improves positioning stability and robustness under precondition of ensuring convergence speed of iteration. Test results show that the weighted LM algorithm has high positioning efficiency and accuracy.http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.17321mine accurate positioningproximity detectionweighted lm algorithmgauss-newton algorithmnonlinear least square algorithmweighted least square algorithmlevenberg-marquardt algorithm
spellingShingle CHEN Kang
BAO Jianjun
WANG Wei
Research on a robust positioning algorithm for mine proximity detectio
Gong-kuang zidonghua
mine accurate positioning
proximity detection
weighted lm algorithm
gauss-newton algorithm
nonlinear least square algorithm
weighted least square algorithm
levenberg-marquardt algorithm
title Research on a robust positioning algorithm for mine proximity detectio
title_full Research on a robust positioning algorithm for mine proximity detectio
title_fullStr Research on a robust positioning algorithm for mine proximity detectio
title_full_unstemmed Research on a robust positioning algorithm for mine proximity detectio
title_short Research on a robust positioning algorithm for mine proximity detectio
title_sort research on a robust positioning algorithm for mine proximity detectio
topic mine accurate positioning
proximity detection
weighted lm algorithm
gauss-newton algorithm
nonlinear least square algorithm
weighted least square algorithm
levenberg-marquardt algorithm
url http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.17321
work_keys_str_mv AT chenkang researchonarobustpositioningalgorithmformineproximitydetectio
AT baojianjun researchonarobustpositioningalgorithmformineproximitydetectio
AT wangwei researchonarobustpositioningalgorithmformineproximitydetectio