Distance Measurement for the Indoor WSN Nodes Using WTR Method
Time reversal (TR), which leads various multipath signals to focus spatiotemporally on arbitrarily complex propagation environments, can resist signal multipath delay and attenuation which is caused by inhomogeneous complex environments. In this paper, the windowed time reversal (WTR) method for dis...
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| Format: | Article |
| Language: | English |
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Wiley
2014-05-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2014/878743 |
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| author | Zheng Zhang Junxiao Zhu Jiabiao Ruan Gangbing Song |
| author_facet | Zheng Zhang Junxiao Zhu Jiabiao Ruan Gangbing Song |
| author_sort | Zheng Zhang |
| collection | DOAJ |
| description | Time reversal (TR), which leads various multipath signals to focus spatiotemporally on arbitrarily complex propagation environments, can resist signal multipath delay and attenuation which is caused by inhomogeneous complex environments. In this paper, the windowed time reversal (WTR) method for distance measurement between the wireless sensor network (WSN) nodes is proposed based on TR. In the WTR, the main lobe of the channel response is captured by a window. WTR not only takes advantage of the spatiotemporal focus features of TR, but also compensates the multipath effect to eliminate various factors from the environment. WTR can recover the favorable symmetry of the main lobe of channel response, thereby accurately measuring the times-of-arrival (TOA) of the electromagnetic wave and distance between WSN nodes. By analyzing the characteristics of the time reversal operator, the theoretical basis of the WTR is given in this paper. An algorithm for node distance measurement with WTR in indoor environments is described and a large number of simulations with various environments are carried out. The errors for the proposed WTR have been analyzed. Simulation results show that ranging errors by WTR are less than 1% no matter how many obstacles are in the indoor environment. |
| format | Article |
| id | doaj-art-0fd9b0f525de4a6ba56e32d2e577aa82 |
| institution | OA Journals |
| issn | 1550-1477 |
| language | English |
| publishDate | 2014-05-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-0fd9b0f525de4a6ba56e32d2e577aa822025-08-20T02:02:32ZengWileyInternational Journal of Distributed Sensor Networks1550-14772014-05-011010.1155/2014/878743878743Distance Measurement for the Indoor WSN Nodes Using WTR MethodZheng Zhang0Junxiao Zhu1Jiabiao Ruan2Gangbing Song3 Smart Material and Structure Laboratory, Department of Mechanical Engineering, University of Houston, Houston, TX 77004, USA Smart Material and Structure Laboratory, Department of Mechanical Engineering, University of Houston, Houston, TX 77004, USA Smart Material and Structure Laboratory, Department of Mechanical Engineering, University of Houston, Houston, TX 77004, USA School of Civil Engineering, Dalian University of Technology, Dalian, Liaoning 116024, ChinaTime reversal (TR), which leads various multipath signals to focus spatiotemporally on arbitrarily complex propagation environments, can resist signal multipath delay and attenuation which is caused by inhomogeneous complex environments. In this paper, the windowed time reversal (WTR) method for distance measurement between the wireless sensor network (WSN) nodes is proposed based on TR. In the WTR, the main lobe of the channel response is captured by a window. WTR not only takes advantage of the spatiotemporal focus features of TR, but also compensates the multipath effect to eliminate various factors from the environment. WTR can recover the favorable symmetry of the main lobe of channel response, thereby accurately measuring the times-of-arrival (TOA) of the electromagnetic wave and distance between WSN nodes. By analyzing the characteristics of the time reversal operator, the theoretical basis of the WTR is given in this paper. An algorithm for node distance measurement with WTR in indoor environments is described and a large number of simulations with various environments are carried out. The errors for the proposed WTR have been analyzed. Simulation results show that ranging errors by WTR are less than 1% no matter how many obstacles are in the indoor environment.https://doi.org/10.1155/2014/878743 |
| spellingShingle | Zheng Zhang Junxiao Zhu Jiabiao Ruan Gangbing Song Distance Measurement for the Indoor WSN Nodes Using WTR Method International Journal of Distributed Sensor Networks |
| title | Distance Measurement for the Indoor WSN Nodes Using WTR Method |
| title_full | Distance Measurement for the Indoor WSN Nodes Using WTR Method |
| title_fullStr | Distance Measurement for the Indoor WSN Nodes Using WTR Method |
| title_full_unstemmed | Distance Measurement for the Indoor WSN Nodes Using WTR Method |
| title_short | Distance Measurement for the Indoor WSN Nodes Using WTR Method |
| title_sort | distance measurement for the indoor wsn nodes using wtr method |
| url | https://doi.org/10.1155/2014/878743 |
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