TY - GEN
T1 - Grating Lobe Suppression Based on FCN for Through-the-Wall 3D SAR Imaging
AU - Ma, Zhongjie
AU - Zhong, Shichao
AU - Yang, Xiaopeng
AU - Zhao, Jiarong
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - In through-the-wall 3D synthetic aperture radar (SAR) imaging, under-sampling in the height direction is usually unavoidable, resulting in severe grating lobe effects. Traditional grating lobe suppression algorithms have poor performance, and existing neural network research is limited to 2D SAR images, which cannot achieve high-quality grating lobe suppression for 3D SAR. To solve this problem, this paper proposes a grating lobe suppression algorithm for through-the-wall 3D SAR based on fully convolutional networks (FCN). Simulation results demonstrate that, compared to traditional grating lobe suppression algorithms, the proposed network significantly suppresses grating lobe effects in 3D SAR, achieving optimal imaging quality. Finally, the effectiveness of the algorithm is demonstrated with measured data.
AB - In through-the-wall 3D synthetic aperture radar (SAR) imaging, under-sampling in the height direction is usually unavoidable, resulting in severe grating lobe effects. Traditional grating lobe suppression algorithms have poor performance, and existing neural network research is limited to 2D SAR images, which cannot achieve high-quality grating lobe suppression for 3D SAR. To solve this problem, this paper proposes a grating lobe suppression algorithm for through-the-wall 3D SAR based on fully convolutional networks (FCN). Simulation results demonstrate that, compared to traditional grating lobe suppression algorithms, the proposed network significantly suppresses grating lobe effects in 3D SAR, achieving optimal imaging quality. Finally, the effectiveness of the algorithm is demonstrated with measured data.
KW - 3D synthetic aperture radar
KW - Grating Lobe Suppression
KW - neural network
KW - through-the-wall radar(TWR)
UR - https://www.scopus.com/pages/publications/86000029843
U2 - 10.1109/ICSIDP62679.2024.10868389
DO - 10.1109/ICSIDP62679.2024.10868389
M3 - Conference contribution
AN - SCOPUS:86000029843
T3 - IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024
BT - IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024
Y2 - 22 November 2024 through 24 November 2024
ER -