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Improving Jamming Efficiency: A Dynamic Route Planning Approach for Ground Radar Suppression
Radar has become a crucial apparatus for providing electromagnetic situational information in the battlefield. Specifically, about radar suppression, the issue is of great significance. And long-range support jammer has the problem of low jamming efficiency when performing the mission of suppressing...
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Main Authors: | , , , |
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Format: | Conference Proceeding |
Language: | English |
Subjects: | |
Online Access: | Request full text |
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Summary: | Radar has become a crucial apparatus for providing electromagnetic situational information in the battlefield. Specifically, about radar suppression, the issue is of great significance. And long-range support jammer has the problem of low jamming efficiency when performing the mission of suppressing ground radar. Thus, we devise a dynamic optimal route planning algorithm, significantly improving the interference effectiveness against ground radar. Preliminarily, through an analysis of typical radar suppression scenarios with the jammer's inherent attributes, the study designed the aircraft route planning constraints. Then, leveraging the effective configuration area within the mission scenario, we integrate attributes of both the radar and jammer, the cross-constraint conditions have been established to facilitate a reasonable deployment of route points. To evaluate interference effectiveness, the study combines operational route points of the interference aircraft with the effective suppression area and builds up an efficiency assessment criterion for the ground radar suppression route planning algorithm. Simulation experiments shows that our dynamic optimal route planning algorithm increases interference efficiency by an average of 15.794% compared to traditional routes in the setting missions. Our research provides theoretical support and practical guidance for tactical decisions in the long-range support jammer suppression of ground radar. |
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ISSN: | 1948-9447 |
DOI: | 10.1109/CCDC62350.2024.10588234 |