Improved Grey Wolf Optimization for Electronic Jamming Airspace Layout
Aiming at optimal airspace layout of electronic jamming during air fighter’s penetration operation, the range of radar detection under electronic jamming, route safety interval, and effective jamming time under electronic interference are described. In order to achieve the safety penetration of the...
| Main Authors: | , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Advances in Aeronautical Science and Engineering
2018-08-01
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| Series: | Hangkong gongcheng jinzhan |
| Subjects: | |
| Online Access: | http://hkgcjz.cnjournals.com/hkgcjz/article/abstract/2017114?st=article_issue |
| _version_ | 1811326255291695104 |
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| author | Wang Qinghao Yao Dengkai Zhao Guhao |
| author_facet | Wang Qinghao Yao Dengkai Zhao Guhao |
| author_sort | Wang Qinghao |
| collection | DOAJ |
| description | Aiming at optimal airspace layout of electronic jamming during air fighter’s penetration operation, the range of radar detection under electronic jamming, route safety interval, and effective jamming time under electronic interference are described. In order to achieve the safety penetration of the penetration fighters, to ensure the safety of the jammer itself, and to achieve the purpose of efficient use of airspace resources, the optimal airspace layout model of the electronic jamming machine is established, and improved grey wolf optimization(IGWO) is used to find the optimal airspace reference point. To improve the optimization of the algorithm, the linear adjustment parameter in original grey wolf optimization is changed to a non-linear one, and the memory function swarm optimization is added. The simulation results show that improved grey wolf optimization(IGWO) is superior to the original grey wolf optimization algorithm and particle swarm optimization, can quickly find the optimal airspace reference point to complete a specific penetration task. It is proved that the model is scientific and effective. |
| first_indexed | 2024-04-13T14:46:55Z |
| format | Article |
| id | doaj.art-549de6666fdb426698846fb5d4f4bb16 |
| institution | Directory Open Access Journal |
| issn | 1674-8190 |
| language | zho |
| last_indexed | 2024-04-13T14:46:55Z |
| publishDate | 2018-08-01 |
| publisher | Editorial Department of Advances in Aeronautical Science and Engineering |
| record_format | Article |
| series | Hangkong gongcheng jinzhan |
| spelling | doaj.art-549de6666fdb426698846fb5d4f4bb162022-12-22T02:42:43ZzhoEditorial Department of Advances in Aeronautical Science and EngineeringHangkong gongcheng jinzhan1674-81902018-08-019332633310.16615/j.cnki.1674-8190.2018.03.0042018-06-28Improved Grey Wolf Optimization for Electronic Jamming Airspace LayoutWang Qinghao0Yao Dengkai1Zhao Guhao2College of Air Traffic Control and Navigation, Air Force Engineering University, Xi'an 710051, ChinaCollege of Air Traffic Control and Navigation, Air Force Engineering University, Xi'an 710051, ChinaCollege of Air Traffic Control and Navigation, Air Force Engineering University, Xi'an 710051, ChinaAiming at optimal airspace layout of electronic jamming during air fighter’s penetration operation, the range of radar detection under electronic jamming, route safety interval, and effective jamming time under electronic interference are described. In order to achieve the safety penetration of the penetration fighters, to ensure the safety of the jammer itself, and to achieve the purpose of efficient use of airspace resources, the optimal airspace layout model of the electronic jamming machine is established, and improved grey wolf optimization(IGWO) is used to find the optimal airspace reference point. To improve the optimization of the algorithm, the linear adjustment parameter in original grey wolf optimization is changed to a non-linear one, and the memory function swarm optimization is added. The simulation results show that improved grey wolf optimization(IGWO) is superior to the original grey wolf optimization algorithm and particle swarm optimization, can quickly find the optimal airspace reference point to complete a specific penetration task. It is proved that the model is scientific and effective.http://hkgcjz.cnjournals.com/hkgcjz/article/abstract/2017114?st=article_issueelectronic jammingairspace layoutroute safety intervalimproved grey wolf optimization |
| spellingShingle | Wang Qinghao Yao Dengkai Zhao Guhao Improved Grey Wolf Optimization for Electronic Jamming Airspace Layout Hangkong gongcheng jinzhan electronic jamming airspace layout route safety interval improved grey wolf optimization |
| title | Improved Grey Wolf Optimization for Electronic Jamming Airspace Layout |
| title_full | Improved Grey Wolf Optimization for Electronic Jamming Airspace Layout |
| title_fullStr | Improved Grey Wolf Optimization for Electronic Jamming Airspace Layout |
| title_full_unstemmed | Improved Grey Wolf Optimization for Electronic Jamming Airspace Layout |
| title_short | Improved Grey Wolf Optimization for Electronic Jamming Airspace Layout |
| title_sort | improved grey wolf optimization for electronic jamming airspace layout |
| topic | electronic jamming airspace layout route safety interval improved grey wolf optimization |
| url | http://hkgcjz.cnjournals.com/hkgcjz/article/abstract/2017114?st=article_issue |
| work_keys_str_mv | AT wangqinghao improvedgreywolfoptimizationforelectronicjammingairspacelayout AT yaodengkai improvedgreywolfoptimizationforelectronicjammingairspacelayout AT zhaoguhao improvedgreywolfoptimizationforelectronicjammingairspacelayout |