Volume 43 Issue 12
Dec.  2017
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WU Hua, SHI Zhongya, SHEN Wendi, et al. Distribution method of jamming resource based on IFS and IPSO algorithm[J]. Journal of Beijing University of Aeronautics and Astronautics, 2017, 43(12): 2370-2376. doi: 10.13700/j.bh.1001-5965.2016.0870(in Chinese)
Citation: WU Hua, SHI Zhongya, SHEN Wendi, et al. Distribution method of jamming resource based on IFS and IPSO algorithm[J]. Journal of Beijing University of Aeronautics and Astronautics, 2017, 43(12): 2370-2376. doi: 10.13700/j.bh.1001-5965.2016.0870(in Chinese)

Distribution method of jamming resource based on IFS and IPSO algorithm

doi: 10.13700/j.bh.1001-5965.2016.0870
Funds:

National Natural Science Foundation of China 61379104

Aeronautical Science Foundation of China 20152096019

More Information
  • Corresponding author: WU Hua, E-mail:1131180441@qq.com
  • Received Date: 14 Nov 2016
  • Accepted Date: 15 Feb 2017
  • Publish Date: 20 Dec 2017
  • In order to solve the problem of distribution method of jamming resource when several jamming systems jam several radar systems, a distribution method of jamming resource based on intuitionistic fuzzy sets (IFS) and improved particle swarm optimization (IPSO) algorithm was proposed. With the parameters of hostile radar detected by passive detecting systems, IFS theory was used to get the threat coefficient of hostile radars. Integrating the data of jamming systems and hostile radars in the database of the battlefield, the paper defines the matched-degree between radar and jamming system to describe jamming efficiency from four aspects:airspace, frequency domain, polarization mode and jamming mode. Combining matched-degree matrix and hostile radar threat coefficient, the jamming target function was obtained. An ISPO algorithm, which adjusts weight self-adaptively, changes learning factors asynchronously and introduces compensating particle to search the blind area, was proposed to get the best jamming distribution method. The simulation shows that the proposed method has better performance in accuracy of best solution and real-time.

     

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