Research on Airspace Planning for Stand-off and Compound Jamming
A radar adopts anti-jamming techniques such as side lobe cancellation and moving target indication, resulting in the worsening of the effects of single active jamming and passive jamming. Therefore a compound jamming strategy was proposed and can effectively respond to the anti-jamming device of the...
Format: | Article |
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Language: | zho |
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EDP Sciences
2018-12-01
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Series: | Xibei Gongye Daxue Xuebao |
Subjects: | |
Online Access: | https://www.jnwpu.org/articles/jnwpu/pdf/2018/06/jnwpu2018366p1176.pdf |
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collection | DOAJ |
description | A radar adopts anti-jamming techniques such as side lobe cancellation and moving target indication, resulting in the worsening of the effects of single active jamming and passive jamming. Therefore a compound jamming strategy was proposed and can effectively respond to the anti-jamming device of the new radar. The conditions for the use of this strategy were defined. Based on the military airspace planning principles, taking into account human error, wind and other errors, the specific process of airspace planning was elaborated. Taking into account the effects of compound jamming and the safety of a jammer, an airspace model for stand-off and compound jamming was established. The Whale Optimization Algorithm (WAO) with Tent chaotic sequence was used to solve the model and the airspaces with different preferences were planned. The simulation results show that the model is scientific and effective. The optimization ability of the WOA of with tent chaotic sequence is better than WAO. In addition, the planning direction is quite different in Simulation 1 and Simulation 2, with a maximum of 99°. The compound jamming for stand-off jamming in airspace planning is more flexible and has more advantages in multiple military planning airspaces. |
first_indexed | 2024-03-09T08:51:43Z |
format | Article |
id | doaj.art-0a757cdd8bda469d8a6f1e8634eecd2b |
institution | Directory Open Access Journal |
issn | 1000-2758 2609-7125 |
language | zho |
last_indexed | 2024-03-09T08:51:43Z |
publishDate | 2018-12-01 |
publisher | EDP Sciences |
record_format | Article |
series | Xibei Gongye Daxue Xuebao |
spelling | doaj.art-0a757cdd8bda469d8a6f1e8634eecd2b2023-12-02T14:05:16ZzhoEDP SciencesXibei Gongye Daxue Xuebao1000-27582609-71252018-12-013661176118410.1051/jnwpu/20183661176jnwpu2018366p1176Research on Airspace Planning for Stand-off and Compound Jamming0123Administration, Air Force Engineering UniversityCollege of Air Traffic Control and Navigation College, Air Force Engineering UniversityCollege of Air Traffic Control and Navigation College, Air Force Engineering UniversityCollege of Aviation Engineering, Air Force Engineering UniversityA radar adopts anti-jamming techniques such as side lobe cancellation and moving target indication, resulting in the worsening of the effects of single active jamming and passive jamming. Therefore a compound jamming strategy was proposed and can effectively respond to the anti-jamming device of the new radar. The conditions for the use of this strategy were defined. Based on the military airspace planning principles, taking into account human error, wind and other errors, the specific process of airspace planning was elaborated. Taking into account the effects of compound jamming and the safety of a jammer, an airspace model for stand-off and compound jamming was established. The Whale Optimization Algorithm (WAO) with Tent chaotic sequence was used to solve the model and the airspaces with different preferences were planned. The simulation results show that the model is scientific and effective. The optimization ability of the WOA of with tent chaotic sequence is better than WAO. In addition, the planning direction is quite different in Simulation 1 and Simulation 2, with a maximum of 99°. The compound jamming for stand-off jamming in airspace planning is more flexible and has more advantages in multiple military planning airspaces.https://www.jnwpu.org/articles/jnwpu/pdf/2018/06/jnwpu2018366p1176.pdfcompound jammingstand-off jammingairspace planningtent chaotic sequencewhale optimization algorithm |
spellingShingle | Research on Airspace Planning for Stand-off and Compound Jamming Xibei Gongye Daxue Xuebao compound jamming stand-off jamming airspace planning tent chaotic sequence whale optimization algorithm |
title | Research on Airspace Planning for Stand-off and Compound Jamming |
title_full | Research on Airspace Planning for Stand-off and Compound Jamming |
title_fullStr | Research on Airspace Planning for Stand-off and Compound Jamming |
title_full_unstemmed | Research on Airspace Planning for Stand-off and Compound Jamming |
title_short | Research on Airspace Planning for Stand-off and Compound Jamming |
title_sort | research on airspace planning for stand off and compound jamming |
topic | compound jamming stand-off jamming airspace planning tent chaotic sequence whale optimization algorithm |
url | https://www.jnwpu.org/articles/jnwpu/pdf/2018/06/jnwpu2018366p1176.pdf |