AOA-Based Three-Dimensional Multi-Target Localization in Industrial WSNs for LOS Conditions
High-precision and fast relative positioning of a large number of mobile sensor nodes (MSNs) is crucial for smart industrial wireless sensor networks (SIWSNs). However, positioning multiple targets simultaneously in three-dimensional (3D) space has been less explored. In this paper, we propose a new...
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MDPI AG
2018-08-01
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| Series: | Sensors |
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| Online Access: | http://www.mdpi.com/1424-8220/18/8/2727 |
| _version_ | 1798040521020538880 |
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| author | Ruonan Zhang Jiawei Liu Xiaojiang Du Bin Li Mohsen Guizani |
| author_facet | Ruonan Zhang Jiawei Liu Xiaojiang Du Bin Li Mohsen Guizani |
| author_sort | Ruonan Zhang |
| collection | DOAJ |
| description | High-precision and fast relative positioning of a large number of mobile sensor nodes (MSNs) is crucial for smart industrial wireless sensor networks (SIWSNs). However, positioning multiple targets simultaneously in three-dimensional (3D) space has been less explored. In this paper, we propose a new approach, called Angle-of-Arrival (AOA) based Three-dimensional Multi-target Localization (ATML). The approach utilizes two anchor nodes (ANs) with antenna arrays to receive the spread spectrum signals broadcast by MSNs. We design a multi-target single-input-multiple-output (MT-SIMO) signal transmission scheme and a simple iterative maximum likelihood estimator (MLE) to estimate the 2D AOAs of multiple MSNs simultaneously. We further adopt the skew line theorem of 3D geometry to mitigate the AOA estimation errors in determining locations. We have conducted extensive simulations and also developed a testbed of the proposed ATML. The numerical and field experiment results have verified that the proposed ATML can locate multiple MSNs simultaneously with high accuracy and efficiency by exploiting the spread spectrum gain and antenna array gain. The ATML scheme does not require extra hardware or synchronization among nodes, and has good capability in mitigating interference and multipath effect in complicated industrial environments. |
| first_indexed | 2024-04-11T22:10:06Z |
| format | Article |
| id | doaj.art-725686650cf643ba93c483e7e439141b |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T22:10:06Z |
| publishDate | 2018-08-01 |
| publisher | MDPI AG |
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| spelling | doaj.art-725686650cf643ba93c483e7e439141b2022-12-22T04:00:36ZengMDPI AGSensors1424-82202018-08-01188272710.3390/s18082727s18082727AOA-Based Three-Dimensional Multi-Target Localization in Industrial WSNs for LOS ConditionsRuonan Zhang0Jiawei Liu1Xiaojiang Du2Bin Li3Mohsen Guizani4Department of Communication Engineering, Northwestern Polytechnical University, Xi’an 710072, ChinaDepartment of Communication Engineering, Northwestern Polytechnical University, Xi’an 710072, ChinaDepartment of Computer and Information Sciences, Temple University, Philadelphia, PA 19122, USADepartment of Communication Engineering, Northwestern Polytechnical University, Xi’an 710072, ChinaDepartment of Electrical and Computer Engineering, University of Idaho, Moscow, ID 83844, USAHigh-precision and fast relative positioning of a large number of mobile sensor nodes (MSNs) is crucial for smart industrial wireless sensor networks (SIWSNs). However, positioning multiple targets simultaneously in three-dimensional (3D) space has been less explored. In this paper, we propose a new approach, called Angle-of-Arrival (AOA) based Three-dimensional Multi-target Localization (ATML). The approach utilizes two anchor nodes (ANs) with antenna arrays to receive the spread spectrum signals broadcast by MSNs. We design a multi-target single-input-multiple-output (MT-SIMO) signal transmission scheme and a simple iterative maximum likelihood estimator (MLE) to estimate the 2D AOAs of multiple MSNs simultaneously. We further adopt the skew line theorem of 3D geometry to mitigate the AOA estimation errors in determining locations. We have conducted extensive simulations and also developed a testbed of the proposed ATML. The numerical and field experiment results have verified that the proposed ATML can locate multiple MSNs simultaneously with high accuracy and efficiency by exploiting the spread spectrum gain and antenna array gain. The ATML scheme does not require extra hardware or synchronization among nodes, and has good capability in mitigating interference and multipath effect in complicated industrial environments.http://www.mdpi.com/1424-8220/18/8/2727wireless sensor networklocalizationsmart industrialangle of arrivalmaximum likelihood estimatorantenna array. |
| spellingShingle | Ruonan Zhang Jiawei Liu Xiaojiang Du Bin Li Mohsen Guizani AOA-Based Three-Dimensional Multi-Target Localization in Industrial WSNs for LOS Conditions Sensors wireless sensor network localization smart industrial angle of arrival maximum likelihood estimator antenna array. |
| title | AOA-Based Three-Dimensional Multi-Target Localization in Industrial WSNs for LOS Conditions |
| title_full | AOA-Based Three-Dimensional Multi-Target Localization in Industrial WSNs for LOS Conditions |
| title_fullStr | AOA-Based Three-Dimensional Multi-Target Localization in Industrial WSNs for LOS Conditions |
| title_full_unstemmed | AOA-Based Three-Dimensional Multi-Target Localization in Industrial WSNs for LOS Conditions |
| title_short | AOA-Based Three-Dimensional Multi-Target Localization in Industrial WSNs for LOS Conditions |
| title_sort | aoa based three dimensional multi target localization in industrial wsns for los conditions |
| topic | wireless sensor network localization smart industrial angle of arrival maximum likelihood estimator antenna array. |
| url | http://www.mdpi.com/1424-8220/18/8/2727 |
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