Weapon-Target Assignment for Multi-to-Multi Interception With Grouping Constraint
This paper presents a weapon-target assignment (WTA) method for a multi-to-multi interception with fixed and adaptive grouping constraints. First, to get a better evaluation of the interception performance, the miss-distance under heading error, the time-to-go, and the line-of-sight rate are used to...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8640033/ |
| _version_ | 1818910250638508032 |
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| author | Dong Guo Zixuan Liang Peng Jiang Xiwang Dong Qingdong Li Zhang Ren |
| author_facet | Dong Guo Zixuan Liang Peng Jiang Xiwang Dong Qingdong Li Zhang Ren |
| author_sort | Dong Guo |
| collection | DOAJ |
| description | This paper presents a weapon-target assignment (WTA) method for a multi-to-multi interception with fixed and adaptive grouping constraints. First, to get a better evaluation of the interception performance, the miss-distance under heading error, the time-to-go, and the line-of-sight rate are used to construct an interception probability function which considers the interception efficiency and the required energy. Second, to provide good engagement conditions for cooperative guidance in the case of multiple missiles against multiple targets, and meanwhile, to ensure that each target is allocated with appropriate interception resources, a fixed grouping strategy and an adaptive grouping strategy based on penalty function are proposed for the WTA problem. Then, the artificial bee colony algorithm is employed to solve the WTA problem with grouping constraints. Finally, two scenarios of multi-to-multi interception are simulated to verify the proposed WTA method. Results indicate that the method can realize the optimal allocation schemes which satisfy both the fixed and the adaptive grouping constraints. |
| first_indexed | 2024-12-19T22:39:49Z |
| format | Article |
| id | doaj.art-390c6f2c92db4d2da4cce68e16c997cf |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-19T22:39:49Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-390c6f2c92db4d2da4cce68e16c997cf2022-12-21T20:03:07ZengIEEEIEEE Access2169-35362019-01-017348383484910.1109/ACCESS.2019.28988748640033Weapon-Target Assignment for Multi-to-Multi Interception With Grouping ConstraintDong Guo0https://orcid.org/0000-0001-9877-4036Zixuan Liang1Peng Jiang2Xiwang Dong3Qingdong Li4Zhang Ren5School of Automation Science and Electrical Engineering, Beihang University, Beijing, ChinaSchool of Aerospace Engineering, Beijing Institute of Technology, Beijing, ChinaEnergy Internet Research Center, College of Information System and Management, National University of Defense Technology, Changsha, ChinaSchool of Automation Science and Electrical Engineering, Beihang University, Beijing, ChinaSchool of Automation Science and Electrical Engineering, Beihang University, Beijing, ChinaSchool of Automation Science and Electrical Engineering, Beihang University, Beijing, ChinaThis paper presents a weapon-target assignment (WTA) method for a multi-to-multi interception with fixed and adaptive grouping constraints. First, to get a better evaluation of the interception performance, the miss-distance under heading error, the time-to-go, and the line-of-sight rate are used to construct an interception probability function which considers the interception efficiency and the required energy. Second, to provide good engagement conditions for cooperative guidance in the case of multiple missiles against multiple targets, and meanwhile, to ensure that each target is allocated with appropriate interception resources, a fixed grouping strategy and an adaptive grouping strategy based on penalty function are proposed for the WTA problem. Then, the artificial bee colony algorithm is employed to solve the WTA problem with grouping constraints. Finally, two scenarios of multi-to-multi interception are simulated to verify the proposed WTA method. Results indicate that the method can realize the optimal allocation schemes which satisfy both the fixed and the adaptive grouping constraints.https://ieeexplore.ieee.org/document/8640033/Weapon-target assignmentgrouping constraintcooperative attackmulti-to-multi interceptionartificial bee colony algorithm |
| spellingShingle | Dong Guo Zixuan Liang Peng Jiang Xiwang Dong Qingdong Li Zhang Ren Weapon-Target Assignment for Multi-to-Multi Interception With Grouping Constraint IEEE Access Weapon-target assignment grouping constraint cooperative attack multi-to-multi interception artificial bee colony algorithm |
| title | Weapon-Target Assignment for Multi-to-Multi Interception With Grouping Constraint |
| title_full | Weapon-Target Assignment for Multi-to-Multi Interception With Grouping Constraint |
| title_fullStr | Weapon-Target Assignment for Multi-to-Multi Interception With Grouping Constraint |
| title_full_unstemmed | Weapon-Target Assignment for Multi-to-Multi Interception With Grouping Constraint |
| title_short | Weapon-Target Assignment for Multi-to-Multi Interception With Grouping Constraint |
| title_sort | weapon target assignment for multi to multi interception with grouping constraint |
| topic | Weapon-target assignment grouping constraint cooperative attack multi-to-multi interception artificial bee colony algorithm |
| url | https://ieeexplore.ieee.org/document/8640033/ |
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