An Optimization Method for Radar Anti-Jamming Strategy via Key Time Nodes

Cheng Feng, Xiongjun Fu*, Jian Dong, Zhichun Zhao, Jiyang Yu, Teng Pan

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

This paper proposes an optimization method to improve the radar anti-jamming strategy by using the predictability of left game interval. Firstly, we propose the concept of key time nodes in radar/jammer confrontation and analyze its predictability. Secondly, we analyze the radar-winning scenarios by considering the temporal constraints and construct the actual utility matrix of the radar. Then, we describe the optimization algorithm using radar-winning probability statistics based on the prediction of left game interval. Finally, we carry out a simulation experiment by comparing it with other anti-jamming strategies to verify the rationality, and the result shows that the proposed method can significantly improve the radar’s winning probability in the confrontation. By using the proposed anti-jamming strategy optimization method just at the key time nodes, the imperceptibility from the jammer is improved, and its long-term superiority can be maintained in the confrontation.

Original languageEnglish
Article number3716
JournalRemote Sensing
Volume15
Issue number15
DOIs
Publication statusPublished - Aug 2023

Keywords

  • anti-jamming
  • game theory
  • radar

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