Indoor Pedestrian Positioning Tracking Algorithm with Sparse Anchor Nodes
In order to solve the indoor pedestrian positioning and tracking problems under the condition of sparse anchor nodes, this paper presents a new tracking scheme which predicts the staff position under the condition of indoor location fingerprints based on particle filter. In the proposed algorithm, t...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2013-08-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2013/247306 |
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| _version_ | 1832553269140914176 |
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| author | Zhou Yong Cai Zehui Chen Pengpeng |
| author_facet | Zhou Yong Cai Zehui Chen Pengpeng |
| author_sort | Zhou Yong |
| collection | DOAJ |
| description | In order to solve the indoor pedestrian positioning and tracking problems under the condition of sparse anchor nodes, this paper presents a new tracking scheme which predicts the staff position under the condition of indoor location fingerprints based on particle filter. In the proposed algorithm, the indoor topology is adopted to constrain and correct the results. Simulation results show that the proposed algorithm can significantly improve the accuracy of indoor pedestrian positioning and tracking more than the Kalman filter and k -nearest neighbor (KNN) algorithms. The simulation results also show that under the condition of sparse nodes deployment good tracking results can still be achieved through the adoption of indoor topology and the average positioning error is about 1.9 m. |
| format | Article |
| id | doaj-art-7ab0610ab3d946398b41337b46bf8230 |
| institution | Kabale University |
| issn | 1550-1477 |
| language | English |
| publishDate | 2013-08-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-7ab0610ab3d946398b41337b46bf82302025-02-03T05:54:32ZengWileyInternational Journal of Distributed Sensor Networks1550-14772013-08-01910.1155/2013/247306Indoor Pedestrian Positioning Tracking Algorithm with Sparse Anchor NodesZhou YongCai ZehuiChen PengpengIn order to solve the indoor pedestrian positioning and tracking problems under the condition of sparse anchor nodes, this paper presents a new tracking scheme which predicts the staff position under the condition of indoor location fingerprints based on particle filter. In the proposed algorithm, the indoor topology is adopted to constrain and correct the results. Simulation results show that the proposed algorithm can significantly improve the accuracy of indoor pedestrian positioning and tracking more than the Kalman filter and k -nearest neighbor (KNN) algorithms. The simulation results also show that under the condition of sparse nodes deployment good tracking results can still be achieved through the adoption of indoor topology and the average positioning error is about 1.9 m.https://doi.org/10.1155/2013/247306 |
| spellingShingle | Zhou Yong Cai Zehui Chen Pengpeng Indoor Pedestrian Positioning Tracking Algorithm with Sparse Anchor Nodes International Journal of Distributed Sensor Networks |
| title | Indoor Pedestrian Positioning Tracking Algorithm with Sparse Anchor Nodes |
| title_full | Indoor Pedestrian Positioning Tracking Algorithm with Sparse Anchor Nodes |
| title_fullStr | Indoor Pedestrian Positioning Tracking Algorithm with Sparse Anchor Nodes |
| title_full_unstemmed | Indoor Pedestrian Positioning Tracking Algorithm with Sparse Anchor Nodes |
| title_short | Indoor Pedestrian Positioning Tracking Algorithm with Sparse Anchor Nodes |
| title_sort | indoor pedestrian positioning tracking algorithm with sparse anchor nodes |
| url | https://doi.org/10.1155/2013/247306 |
| work_keys_str_mv | AT zhouyong indoorpedestrianpositioningtrackingalgorithmwithsparseanchornodes AT caizehui indoorpedestrianpositioningtrackingalgorithmwithsparseanchornodes AT chenpengpeng indoorpedestrianpositioningtrackingalgorithmwithsparseanchornodes |