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Updated: May 21, 2025

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Adversarial Range Gate Pull-Off Jamming Against Tracking Radar.

Yuanhang Wang1, Yi Han2, Yi Jiang1

  • 1School of Information and Communication Engineering, Dalian University of Technology, Dalian 116024, China.

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|March 17, 2025
PubMed
Summary
This summary is machine-generated.

Optimizing range gate pull-off (RGPO) jamming strategies is crucial for radar track deception. This study introduces a novel algorithm, PSO-ER, to enhance white-box RGPO jamming effectiveness by simulating radar interactions.

Keywords:
adversarial stochastic simulation optimization (ASSO)particle swarm optimization with equal resampling scheme (PSO-ER)radar tracking systemrange gate pull-off (RGPO)

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Area of Science:

  • Electrical Engineering
  • Computer Science
  • Defense Technology

Background:

  • Range gate pull-off (RGPO) jamming is a key technique for radar track deception.
  • Current RGPO jamming strategies face challenges in maximizing effectiveness due to complex radar interactions.
  • Optimizing RGPO jamming requires addressing difficulties in objective function formulation, effect observation, and noise unpredictability.

Purpose of the Study:

  • To optimize white-box RGPO jamming strategies for enhanced radar track deception.
  • To develop a foundational approach for quantitative research into RGPO jamming strategies.
  • To overcome challenges in formulating jamming objectives, observing effects, and handling noise.

Main Methods:

  • Formulated RGPO jamming strategy optimization as an adversarial stochastic simulation optimization (ASSO) problem.
  • Introduced a novel local simulation-assisted particle swarm optimization with equal resampling (PSO-ER) algorithm.
  • Utilized localized simulations of the target radar to evaluate jamming strategy effectiveness.

Main Results:

  • The PSO-ER algorithm successfully searched for optimal jamming strategies.
  • Experiments validated the algorithm's capability in generating effective white-box RGPO jamming strategies.
  • The proposed method demonstrated success across four benchmark cases.

Conclusions:

  • The developed PSO-ER algorithm provides an effective solution for optimizing white-box RGPO jamming strategies.
  • This research advances the quantitative optimization of RGPO jamming techniques.
  • The findings contribute to improving the performance of radar deception methods.