Systems Engineering and Electronics ›› 2022, Vol. 44 ›› Issue (3): 722-729.doi: 10.12305/j.issn.1001-506X.2022.03.02

• Electronic Technology • Previous Articles     Next Articles

Intelligent optimization of phase-modulation waveform based on genetic algorithm

Jianwei SUN1,2, Chao WANG1,2,*, Qingzhan SHI1,2, Wenbo REN1,2, Zekun YAO1,2, Naichang YUAN1,2   

  1. 1. College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China
    2. State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, National University of Defense Technology, Changsha 410073, China
  • Received:2021-01-22 Online:2022-02-25 Published:2022-03-10
  • Contact: Chao WANG

Abstract:

With the improvement of intelligence, the transmitting signal of radar becomes more complex and changeable. In order to effectively deal with complex and unknown threat signals, it is necessary to enhance the intelligent countermeasure capability of the countermeasure system. An intelligent optimization method of countermeasure waveform based on intelligent optimization algorithm is proposed. And the intelligent optimization of phase modulation waveform based on genetic algorithm is studied through simulation experiments. The experimental results under different optimization parameters, different implementation conditions, different radar signals and signal changes show that the genetic algorithm can optimize the waveform under different conditions with less iteration times and short running time, and realize the improvement of the countermeasures performance. The feasibility of this method is preliminarily proved.

Key words: waveform optimization, intelligent optimization, phase-modulation, genetic algorithm

CLC Number: 

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