Region discretization mine target positioning method based on compressed sensing
For problems of low positioning accuracy of electromagnetic wave ranging positioning method due to underground electromagnetic interference and continuous measurement and storage of massive offline data in offline construction of fingerprint feature database by fingerprint positioning method, a regi...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Industry and Mine Automation
2018-08-01
|
| Series: | Gong-kuang zidonghua |
| Subjects: | |
| Online Access: | http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2018020005 |
| _version_ | 1827988489599188992 |
|---|---|
| author | XU Zhiming TIAN Zijian WANG Wenqing LIU Zhenzhen LIU Ting HUANG Lei |
| author_facet | XU Zhiming TIAN Zijian WANG Wenqing LIU Zhenzhen LIU Ting HUANG Lei |
| author_sort | XU Zhiming |
| collection | DOAJ |
| description | For problems of low positioning accuracy of electromagnetic wave ranging positioning method due to underground electromagnetic interference and continuous measurement and storage of massive offline data in offline construction of fingerprint feature database by fingerprint positioning method, a region discretization mine target positioning method based on compressed sensing was proposed. Firstly, positioning area is divided into grids for discretization, and fingerprint feature database is constructed by offline measuring signal strength at the grid. Then, sparse position matrix containing target position information is obtained by compressed sensing with a small amount of signal strength sampled online, so as to estimate possible position of the target. Finally, the target is accurately positioned by grid centroid method. The experimental results show that the method achieves accurate positioning of mine target with higher positioning accuracy and less positioning time. |
| first_indexed | 2024-04-10T00:04:24Z |
| format | Article |
| id | doaj.art-593c9f8e7a714916bbc3b1e0aeeadb38 |
| institution | Directory Open Access Journal |
| issn | 1671-251X |
| language | zho |
| last_indexed | 2024-04-10T00:04:24Z |
| publishDate | 2018-08-01 |
| publisher | Editorial Department of Industry and Mine Automation |
| record_format | Article |
| series | Gong-kuang zidonghua |
| spelling | doaj.art-593c9f8e7a714916bbc3b1e0aeeadb382023-03-17T01:19:18ZzhoEditorial Department of Industry and Mine AutomationGong-kuang zidonghua1671-251X2018-08-01448677010.13272/j.issn.1671-251x.2018020005Region discretization mine target positioning method based on compressed sensingXU Zhiming0TIAN Zijian1WANG Wenqing2LIU Zhenzhen3LIU Ting4HUANG Lei5School of Mechanical Electronic and Information Engineering, China University of Mining and Technology(Beijing), Beijing 100083, ChinaSchool of Mechanical Electronic and Information Engineering, China University of Mining and Technology(Beijing), Beijing 100083, ChinaOffice of Scientific Research, Beijing Polytechnic College, Beijing 100042, ChinaSchool of Mechanical Electronic and Information Engineering, China University of Mining and Technology(Beijing), Beijing 100083, ChinaSchool of Mechanical Electronic and Information Engineering, China University of Mining and Technology(Beijing), Beijing 100083, ChinaSchool of Mechanical Electronic and Information Engineering, China University of Mining and Technology(Beijing), Beijing 100083, ChinaFor problems of low positioning accuracy of electromagnetic wave ranging positioning method due to underground electromagnetic interference and continuous measurement and storage of massive offline data in offline construction of fingerprint feature database by fingerprint positioning method, a region discretization mine target positioning method based on compressed sensing was proposed. Firstly, positioning area is divided into grids for discretization, and fingerprint feature database is constructed by offline measuring signal strength at the grid. Then, sparse position matrix containing target position information is obtained by compressed sensing with a small amount of signal strength sampled online, so as to estimate possible position of the target. Finally, the target is accurately positioned by grid centroid method. The experimental results show that the method achieves accurate positioning of mine target with higher positioning accuracy and less positioning time.http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2018020005underground positioningcompressed sensingregion discretizationfingerprint feature databasegrid centroid method |
| spellingShingle | XU Zhiming TIAN Zijian WANG Wenqing LIU Zhenzhen LIU Ting HUANG Lei Region discretization mine target positioning method based on compressed sensing Gong-kuang zidonghua underground positioning compressed sensing region discretization fingerprint feature database grid centroid method |
| title | Region discretization mine target positioning method based on compressed sensing |
| title_full | Region discretization mine target positioning method based on compressed sensing |
| title_fullStr | Region discretization mine target positioning method based on compressed sensing |
| title_full_unstemmed | Region discretization mine target positioning method based on compressed sensing |
| title_short | Region discretization mine target positioning method based on compressed sensing |
| title_sort | region discretization mine target positioning method based on compressed sensing |
| topic | underground positioning compressed sensing region discretization fingerprint feature database grid centroid method |
| url | http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2018020005 |
| work_keys_str_mv | AT xuzhiming regiondiscretizationminetargetpositioningmethodbasedoncompressedsensing AT tianzijian regiondiscretizationminetargetpositioningmethodbasedoncompressedsensing AT wangwenqing regiondiscretizationminetargetpositioningmethodbasedoncompressedsensing AT liuzhenzhen regiondiscretizationminetargetpositioningmethodbasedoncompressedsensing AT liuting regiondiscretizationminetargetpositioningmethodbasedoncompressedsensing AT huanglei regiondiscretizationminetargetpositioningmethodbasedoncompressedsensing |