ISAR Imaging and Recognition Technology of UAVs and Birds Based on FEKO

Aiming to address the problem of radar target recognition between UAVs and birds in the low-altitude field, the ISAR imaging and recognition technology of UAVs and birds based on FEKO is studied. Firstly, a stepped frequency waveform with a bandwidth of 4 GHz is designed, and the echo data is generated by simulation. The improved ISAR algorithm is used to conduct ISAR imaging simulations of UAVs and birds. The imaging results show rich details of the target. Moreover, the sample data set of UAVs and birds is constructed according to ISAR images. The CNN integrated with AMHE, HACL, and CRFM is used for target recognition. The recognition rate of the targets have reached $\mathbf{9 8. 3 2 \%}$. The ability of low altitude detection radar in bird strike prevention and battlefield situation awareness is improved. This research provides a novel and effective way to solve the problem of radar target recognition in low-altitude fields.

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Publication Details

Published
2025-06-20
DOI
https://doi.org/10.1109/icecai66283.2025.11170652
Primary Topic
Spectroscopy Techniques in Biomedical and Chemical Research
Type
article
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article

ISAR Imaging and Recognition Technology of UAVs and Birds Based on FEKO

Zixuan Yi, Wenjie Wu, Zhenbin Lv, Yifan Pu et al.
Spectroscopy Techniques in Biomedical and Chemical Research
article

ISAR Imaging and Recognition Technology of UAVs and Birds Based on FEKO

Zixuan Yi, Wenjie Wu, Zhenbin Lv, Yifan Pu, Shuhai Shi
article en

Abstract

Aiming to address the problem of radar target recognition between UAVs and birds in the low-altitude field, the ISAR imaging and recognition technology of UAVs and birds based on FEKO is studied. Firstly, a stepped frequency waveform with a bandwidth of 4 GHz is designed, and the echo data is generated by simulation. The improved ISAR algorithm is used to conduct ISAR imaging simulations of UAVs and birds. The imaging results show rich details of the target. Moreover, the sample data set of UAVs and birds is constructed according to ISAR images. The CNN integrated with AMHE, HACL, and CRFM is used for target recognition. The recognition rate of the targets have reached $\mathbf{9 8. 3 2 \%}$. The ability of low altitude detection radar in bird strike prevention and battlefield situation awareness is improved. This research provides a novel and effective way to solve the problem of radar target recognition in low-altitude fields.

Shanghai University (CN), Shanghai Industrial Technology Institute (CN)
Openalex Percentile: Top 81%
Spectroscopy Techniques in Biomedical and Chemical Research
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