Design of cognitive radar jamming based on Q-learning algorithm

Yun Jie Li, Yun Peng Zhu, Mei Guo Gao

Research output: Contribution to journalArticlepeer-review

24 Citations (Scopus)

Abstract

Employing the concept of cognition into radar jamming, the jamming system can implement behavior learning in the dynamic jamming process, which can ensure the most suitable jamming plan scheduling and then achieve the most efficient jamming effect. The concept and connotation of cognitive radar countermeasure were discussed firstly in this paper. Then the cognitive radar ECM process flow was devised based on Q-learning algorithm and the key techniques in the cognitive jamming process were brought forward. At last, the verifying simulations of convergence of the cognitive ECM process and the performance improvement with prior information were presented.

Original languageEnglish
Pages (from-to)1194-1199
Number of pages6
JournalBeijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
Volume35
Issue number11
DOIs
Publication statusPublished - 1 Nov 2015

Keywords

  • Cognition
  • Q-learning
  • Radar countermeasures

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