Multi-target localization algorithm based on adaptive grid in wireless sensor network
The RSS-based multi-target localization has the natural property of the sparsity in wireless sensor networks.A multi-target localization algorithm based on adaptive grid in wireless sensor networks was proposed,which divided the multi-target localization problem into two phases:large-scale grid-base...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2019-07-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2019129/ |
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| author | Tianjing WANG Xiuqin LI Guangwei BAI Hang SHEN |
| author_facet | Tianjing WANG Xiuqin LI Guangwei BAI Hang SHEN |
| author_sort | Tianjing WANG |
| collection | DOAJ |
| description | The RSS-based multi-target localization has the natural property of the sparsity in wireless sensor networks.A multi-target localization algorithm based on adaptive grid in wireless sensor networks was proposed,which divided the multi-target localization problem into two phases:large-scale grid-based localization and adaptive grid-based localization.In the large-scale grid-based localization phase,the optimal number of measurements was determined due to the sequential compressed sensing theory,and then the locations of the initial candidate grids were reconstructed by applying l<sub>p</sub> (0＆lt; p＆lt;1) optimization.In the adaptive grid-based localization phase,the initial candidate grids were adaptively partitioned according to the compressed sensing theory,and then the locations of the targets were precisely estimated by applying l<sub>p</sub>optimization once again.Compared with the traditional multi-target localization algorithm based on compressed sensing,the simulation results show that the proposed algorithm has higher localization accuracy and lower localization delay without foreknowing the number of targets.Therefore,it is more appropriate for the multi-target localization problem in the large-scale wireless sensor networks. |
| format | Article |
| id | doaj-art-c3282c618a394c859d09ee5b77071278 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2019-07-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-c3282c618a394c859d09ee5b770712782025-01-14T07:17:25ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2019-07-014019720759728616Multi-target localization algorithm based on adaptive grid in wireless sensor networkTianjing WANGXiuqin LIGuangwei BAIHang SHENThe RSS-based multi-target localization has the natural property of the sparsity in wireless sensor networks.A multi-target localization algorithm based on adaptive grid in wireless sensor networks was proposed,which divided the multi-target localization problem into two phases:large-scale grid-based localization and adaptive grid-based localization.In the large-scale grid-based localization phase,the optimal number of measurements was determined due to the sequential compressed sensing theory,and then the locations of the initial candidate grids were reconstructed by applying l<sub>p</sub> (0＆lt; p＆lt;1) optimization.In the adaptive grid-based localization phase,the initial candidate grids were adaptively partitioned according to the compressed sensing theory,and then the locations of the targets were precisely estimated by applying l<sub>p</sub>optimization once again.Compared with the traditional multi-target localization algorithm based on compressed sensing,the simulation results show that the proposed algorithm has higher localization accuracy and lower localization delay without foreknowing the number of targets.Therefore,it is more appropriate for the multi-target localization problem in the large-scale wireless sensor networks.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2019129/wireless sensor networkmulti-target localizationcompressed sensingsequential compressed sensingadaptive grid |
| spellingShingle | Tianjing WANG Xiuqin LI Guangwei BAI Hang SHEN Multi-target localization algorithm based on adaptive grid in wireless sensor network Tongxin xuebao wireless sensor network multi-target localization compressed sensing sequential compressed sensing adaptive grid |
| title | Multi-target localization algorithm based on adaptive grid in wireless sensor network |
| title_full | Multi-target localization algorithm based on adaptive grid in wireless sensor network |
| title_fullStr | Multi-target localization algorithm based on adaptive grid in wireless sensor network |
| title_full_unstemmed | Multi-target localization algorithm based on adaptive grid in wireless sensor network |
| title_short | Multi-target localization algorithm based on adaptive grid in wireless sensor network |
| title_sort | multi target localization algorithm based on adaptive grid in wireless sensor network |
| topic | wireless sensor network multi-target localization compressed sensing sequential compressed sensing adaptive grid |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2019129/ |
| work_keys_str_mv | AT tianjingwang multitargetlocalizationalgorithmbasedonadaptivegridinwirelesssensornetwork AT xiuqinli multitargetlocalizationalgorithmbasedonadaptivegridinwirelesssensornetwork AT guangweibai multitargetlocalizationalgorithmbasedonadaptivegridinwirelesssensornetwork AT hangshen multitargetlocalizationalgorithmbasedonadaptivegridinwirelesssensornetwork |