TY - GEN
T1 - Research on Algorithm of Near-field 3D SAR Imaging Based on Linear Array
AU - Zhang, Ruoshi
AU - Zheng, Zhe
AU - Chen, Xuewei
AU - Sun, Boning
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Collecting data in the near-field area of the radar using the spotlight mode based on the linear array platform, and the three-dimensional imaging algorithm of the target within the beam irradiation range is studied. The difficulty of near-field 3D imaging lies in the large amount of radar echo data, so it has high requirements on the efficiency of imaging algorithms. The application of traditional 3D back-projection algorithm is general, but the algorithm efficiency is low. Therefore, an imaging algorithm for 3D reconstruction of echo data based on the compressed sensing is proposed, Therefore, an imaging algorithm for 3D reconstruction of echo data based on the principle of compressed sensing is proposed, and it improves the elevation resolution compared with the traditional algorithm. The simulation results show that the proposed algorithm is feasible and effective, and it takes a short time to achieve 3D imaging of the target in the scene.
AB - Collecting data in the near-field area of the radar using the spotlight mode based on the linear array platform, and the three-dimensional imaging algorithm of the target within the beam irradiation range is studied. The difficulty of near-field 3D imaging lies in the large amount of radar echo data, so it has high requirements on the efficiency of imaging algorithms. The application of traditional 3D back-projection algorithm is general, but the algorithm efficiency is low. Therefore, an imaging algorithm for 3D reconstruction of echo data based on the compressed sensing is proposed, Therefore, an imaging algorithm for 3D reconstruction of echo data based on the principle of compressed sensing is proposed, and it improves the elevation resolution compared with the traditional algorithm. The simulation results show that the proposed algorithm is feasible and effective, and it takes a short time to achieve 3D imaging of the target in the scene.
KW - 3D Back Projection Algorithm
KW - Compressed Sensing
KW - Linear Array
KW - Near-field Area
UR - http://www.scopus.com/inward/record.url?scp=85146110528&partnerID=8YFLogxK
U2 - 10.1109/CCISP55629.2022.9974318
DO - 10.1109/CCISP55629.2022.9974318
M3 - Conference contribution
AN - SCOPUS:85146110528
T3 - Proceedings - 2022 7th International Conference on Communication, Image and Signal Processing, CCISP 2022
SP - 150
EP - 154
BT - Proceedings - 2022 7th International Conference on Communication, Image and Signal Processing, CCISP 2022
A2 - Zhang, Jing
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th International Conference on Communication, Image and Signal Processing, CCISP 2022
Y2 - 18 November 2022 through 20 November 2022
ER -