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3-D Improved Vortex Radar Imaging Based on Multiple Signal Classification Algorithm
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DOI：10.1109/JSEN.2026.3690508.png)
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Abstract
En 中文
The vortex electromagnetic waves (VEMWs) imaging technique has exhibited excellent performance in target imaging. However, most existing 3-D VEMWs imaging methods still suffer from inaccurate imaging results due to their inherent limitations. To address this issue, this article proposes a 3-D vortex radar imaging method based on the multiple signal classification (MUSIC) algorithm. First, an imaging model is established, and the MUSIC algorithm is employed to extract the target's 3-D information. Subsequently, the effectiveness of the proposed method is validated through numerical simulations, and comparative experiments are conducted. The simulation results indicate that, compared with other methods, the proposed approach not only achieves higher imaging resolution in the range, azimuth, and elevation domains but also demonstrates superior robustness to noise. Notably, it maintains satisfactory imaging performance even when the number of orbital angular momentum (OAM) modes is relatively low. Therefore, the proposed method holds significant promise for widespread application in 3-D vortex radar imaging.
Keywords:
3-D imaging
multiple signal classification (MUSIC)
orbital angular momentum (OAM)
vortex electromagnetic waves (VEMWs)
Journal
IF:
4.5
Papers:
2.1W
Citations:
7.3W