Adversarial Range Gate Pull-Off Jamming Against Tracking Radar
Yuanhang Wang, Yi Han, Yi Jiang

TL;DR
This paper introduces a new optimization method to improve range gate pull-off jamming against radar systems.
Contribution
A novel particle swarm optimization algorithm with equal resampling is proposed for white-box RGPO jamming strategy optimization.
Findings
The PSO-ER algorithm effectively optimizes jamming strategies in white-box scenarios.
Experiments on four benchmarks show the proposed method generates well-tuned strategies.
The approach addresses challenges like objective function formulation and jamming effect observation.
Abstract
Range gate pull-off (RGPO) jamming is an effective method for track deception aimed at radar systems. Nevertheless, enhancing the effectiveness of the jamming strategy continues to pose challenges, restricting the RGPO jamming method from achieving its maximum potential. This paper focuses on addressing the problem of optimizing the strategy for white-box RGPO jamming, serving as a foundational step toward quantitative optimization research on RGPO jamming strategies. In the white-box scenario, it is presumed that the jammer has full knowledge of the target radar’s tracking system, encompassing both the choice of tracking method and its parameter configurations. The intricate interactions between the jammer and the tracking radar introduce three primary challenges: (1) Formulating an algebraic expression for the objective function of the jamming strategy optimization is nontrivial; (2)…
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Taxonomy
TopicsAdversarial Robustness in Machine Learning · Advanced Optical Sensing Technologies · Anomaly Detection Techniques and Applications
