Adaptive passive sensor selection for maneuvering target localization and tracking using a multisensor surveillance system
This paper investigates maneuvering-target tracking problem based on a multisensor system and interacting multiple model (IMM). The estimation is performed by a novel particle filter (PF) with a capability to deal with the state-dependent noises and interference of the sensors’ coverage environment....
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2020-01-01
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| Series: | Cogent Engineering |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/23311916.2020.1798580 |
| _version_ | 1797724952902762496 |
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| author | S. N. Hosseini M. Haeri H. Khaloozadeh |
| author_facet | S. N. Hosseini M. Haeri H. Khaloozadeh |
| author_sort | S. N. Hosseini |
| collection | DOAJ |
| description | This paper investigates maneuvering-target tracking problem based on a multisensor system and interacting multiple model (IMM). The estimation is performed by a novel particle filter (PF) with a capability to deal with the state-dependent noises and interference of the sensors’ coverage environment. An adaptive sensor selection algorithm, where some sensors are selected in each stage based on the signal-to-interference pulse noise ratio (SINR) and participate in the state estimation, is proposed. To deal with the effect of interference, we focus on designing and implementing the sensor selection algorithm, where a multisensor system with nonuniform arrays is derived by solving a convex optimization problem. On this basis, a nonuniform array of sensors is selected in each time interval aiming at maximizing the SINR of the received information from the undercoverage area. This would allow tracking in practical environments experiences interference. This method also is able to reduce the tracking error rate. |
| first_indexed | 2024-03-12T10:24:14Z |
| format | Article |
| id | doaj.art-f77b0397ab724d82955a81daa2dc69f8 |
| institution | Directory Open Access Journal |
| issn | 2331-1916 |
| language | English |
| last_indexed | 2024-03-12T10:24:14Z |
| publishDate | 2020-01-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Cogent Engineering |
| spelling | doaj.art-f77b0397ab724d82955a81daa2dc69f82023-09-02T09:54:20ZengTaylor & Francis GroupCogent Engineering2331-19162020-01-017110.1080/23311916.2020.17985801798580Adaptive passive sensor selection for maneuvering target localization and tracking using a multisensor surveillance systemS. N. Hosseini0M. Haeri1H. Khaloozadeh2Islamic Azad University, Science and Research BranchSharif University of TechnologyK.N. Toosi University of TechnologyThis paper investigates maneuvering-target tracking problem based on a multisensor system and interacting multiple model (IMM). The estimation is performed by a novel particle filter (PF) with a capability to deal with the state-dependent noises and interference of the sensors’ coverage environment. An adaptive sensor selection algorithm, where some sensors are selected in each stage based on the signal-to-interference pulse noise ratio (SINR) and participate in the state estimation, is proposed. To deal with the effect of interference, we focus on designing and implementing the sensor selection algorithm, where a multisensor system with nonuniform arrays is derived by solving a convex optimization problem. On this basis, a nonuniform array of sensors is selected in each time interval aiming at maximizing the SINR of the received information from the undercoverage area. This would allow tracking in practical environments experiences interference. This method also is able to reduce the tracking error rate.http://dx.doi.org/10.1080/23311916.2020.1798580maneuvering target trackingparticle filterinteracting multiple modelsadaptive sensor selectionsinr maximizationinterference |
| spellingShingle | S. N. Hosseini M. Haeri H. Khaloozadeh Adaptive passive sensor selection for maneuvering target localization and tracking using a multisensor surveillance system Cogent Engineering maneuvering target tracking particle filter interacting multiple models adaptive sensor selection sinr maximization interference |
| title | Adaptive passive sensor selection for maneuvering target localization and tracking using a multisensor surveillance system |
| title_full | Adaptive passive sensor selection for maneuvering target localization and tracking using a multisensor surveillance system |
| title_fullStr | Adaptive passive sensor selection for maneuvering target localization and tracking using a multisensor surveillance system |
| title_full_unstemmed | Adaptive passive sensor selection for maneuvering target localization and tracking using a multisensor surveillance system |
| title_short | Adaptive passive sensor selection for maneuvering target localization and tracking using a multisensor surveillance system |
| title_sort | adaptive passive sensor selection for maneuvering target localization and tracking using a multisensor surveillance system |
| topic | maneuvering target tracking particle filter interacting multiple models adaptive sensor selection sinr maximization interference |
| url | http://dx.doi.org/10.1080/23311916.2020.1798580 |
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