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July 26, 2026SensorsOpen Access

From Simulation to Semi-Physical Validation: An Intelligent Jammer-Assisted Radar Anti-Jamming Evolution Method

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Authors

FXFeng XieHLHuanyu LiuYWYi-Xiang Wang

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Overview

Randomized trial demonstrates enhanced decision-making in radar systems, indicating improved anti-jamming strategies.

Key Points

  • The aim is to develop a method for optimizing radar anti-jamming strategies through intelligent interactions with jammers.
  • Modeling radar and jammers as competing agents in a sequential decision-making game.
  • Utilizing self-play learning and Monte Carlo Tree Search to generate high-value interaction samples.
  • Developing a semi-physical hardware-in-the-loop validation platform for practical evaluation.
  • Accelerated convergence of the radar agent's anti-jamming strategy during adversarial interactions.
  • Increased utilization efficiency of valuable interaction samples in training the radar agent.
  • Effective bridging of algorithmic simulation to real-world radar-jamming system implementation.

Cite This Study

Xie et al. (2026) studied this question.

synapsesocial.com/papers/6a65a49fd3aea3239cd77264https://doi.org/10.3390/s26154688
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