A Risk-Based Sensor Management Method for Target Detection in the Presence of Suppressive Jamming
In this paper, a risk-based sensor management method for target detection in the presence of suppressive jamming is proposed, in which available sensors are dynamically scheduled to control the risk in the execution of target detection task. Firstly, the sensor detection models in the absence/ prese...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek
2020-01-01
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| Series: | Tehnički Vjesnik |
| Subjects: | |
| Online Access: | https://hrcak.srce.hr/file/340467 |
| _version_ | 1797207273864429568 |
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| author | Yunpu Zhang Ganlin Shan* |
| author_facet | Yunpu Zhang Ganlin Shan* |
| author_sort | Yunpu Zhang |
| collection | DOAJ |
| description | In this paper, a risk-based sensor management method for target detection in the presence of suppressive jamming is proposed, in which available sensors are dynamically scheduled to control the risk in the execution of target detection task. Firstly, the sensor detection models in the absence/ presence of jamming are established, and the calculation method of target detection risk is presented based on the target detection probability. Secondly, the sensor radiation model is established, and the calculation method of radiation risk is given by using hidden Markov filter. Then, a non-myopic objective function is constructed to minimize the sum of detection risk and radiation risk. Furthermore, in order to obtain the optimal solution of objective function quickly, a decision tree search algorithm combining with branch and bound theory and greedy search is proposed. Finally, simulations are conducted, and the results show that the proposed algorithm and sensor management method are effective and advanced compared with the existing algorithms and methods. |
| first_indexed | 2024-04-24T09:20:18Z |
| format | Article |
| id | doaj.art-64d013c5027c4caf920998a3871a015a |
| institution | Directory Open Access Journal |
| issn | 1330-3651 1848-6339 |
| language | English |
| last_indexed | 2024-04-24T09:20:18Z |
| publishDate | 2020-01-01 |
| publisher | Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek |
| record_format | Article |
| series | Tehnički Vjesnik |
| spelling | doaj.art-64d013c5027c4caf920998a3871a015a2024-04-15T16:03:54ZengFaculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in OsijekTehnički Vjesnik1330-36511848-63392020-01-0127111412410.17559/TV-20190606145227A Risk-Based Sensor Management Method for Target Detection in the Presence of Suppressive JammingYunpu Zhang0Ganlin Shan*1Department of Electronic and Optical Engineering, Army Engineering University, Shijiazhuang 050003, ChinaDepartment of Electronic and Optical Engineering, Army Engineering University, 97 Heping West Road, Xinhua Road Street, Xinhua District, Shijiazhuang 050003, ChinaIn this paper, a risk-based sensor management method for target detection in the presence of suppressive jamming is proposed, in which available sensors are dynamically scheduled to control the risk in the execution of target detection task. Firstly, the sensor detection models in the absence/ presence of jamming are established, and the calculation method of target detection risk is presented based on the target detection probability. Secondly, the sensor radiation model is established, and the calculation method of radiation risk is given by using hidden Markov filter. Then, a non-myopic objective function is constructed to minimize the sum of detection risk and radiation risk. Furthermore, in order to obtain the optimal solution of objective function quickly, a decision tree search algorithm combining with branch and bound theory and greedy search is proposed. Finally, simulations are conducted, and the results show that the proposed algorithm and sensor management method are effective and advanced compared with the existing algorithms and methods.https://hrcak.srce.hr/file/340467decision treedetection riskradiation risksensor managementsuppressive jammingtarget detection |
| spellingShingle | Yunpu Zhang Ganlin Shan* A Risk-Based Sensor Management Method for Target Detection in the Presence of Suppressive Jamming Tehnički Vjesnik decision tree detection risk radiation risk sensor management suppressive jamming target detection |
| title | A Risk-Based Sensor Management Method for Target Detection in the Presence of Suppressive Jamming |
| title_full | A Risk-Based Sensor Management Method for Target Detection in the Presence of Suppressive Jamming |
| title_fullStr | A Risk-Based Sensor Management Method for Target Detection in the Presence of Suppressive Jamming |
| title_full_unstemmed | A Risk-Based Sensor Management Method for Target Detection in the Presence of Suppressive Jamming |
| title_short | A Risk-Based Sensor Management Method for Target Detection in the Presence of Suppressive Jamming |
| title_sort | risk based sensor management method for target detection in the presence of suppressive jamming |
| topic | decision tree detection risk radiation risk sensor management suppressive jamming target detection |
| url | https://hrcak.srce.hr/file/340467 |
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