Volume 36, Number 6, December 2018
|Page(s)||1176 - 1184|
|Published online||12 March 2019|
Research on Airspace Planning for Stand-off and Compound Jamming
Administration, Air Force Engineering University, Xi’an 710051, China
2 College of Air Traffic Control and Navigation College, Air Force Engineering University, Xi’an 710051, China
3 College of Aviation Engineering, Air Force Engineering University, Xi’an 710038, China
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.
Key words: compound jamming / stand-off jamming / airspace planning / Tent chaotic sequence / whale optimization algorithm
关键字 : 复合干扰 / 远距离支援干扰 / 空域规划 / Tent混沌序列 / 鲸鱼优化算法
© 2018 Journal of Northwestern Polytechnical University. All rights reserved.
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