TY - GEN
T1 - Near-Field Radar Imaging Motion Compensation Solution Based On STFT and PGA
AU - Zhao, Yang
AU - Lu, Tianxing
AU - Hao, Yingjian
AU - Wang, Jingqian
AU - Huang, Leilei
AU - Shi, Chunqi
AU - Chen, Jinghong
AU - Zhang, Runxi
N1 - Publisher Copyright:
© 2026 IEEE.
PY - 2026
Y1 - 2026
N2 - With the continuous advancement of Terahertz radar technology, high-resolution, high-definition and real-time Terahertz near-field imaging has emerged as a new research objective. However, due to the radar's high-speed motion and the accompanying mechanical vibrations, significant motion errors are induced, which in turn substantially deteriorate the imaging quality. Conventional studies often simplify vibration to a sinusoidal model, but this assumption may not fully reflect real-world conditions. This paper proposes a more realistic perturbation model and a motion compensation scheme based on STFT and PGA, which can better address nonlinear problems. Through actual experiments and ablation studies, this paper demonstrates that this method has the advantages of fewer iterations and better imaging quality. Under the same image contrast, the algorithm proposed in this paper only requires 3 iterations. The PSNR of the imaging results of the algorithm proposed in this paper increases by approximately 3 dB.
AB - With the continuous advancement of Terahertz radar technology, high-resolution, high-definition and real-time Terahertz near-field imaging has emerged as a new research objective. However, due to the radar's high-speed motion and the accompanying mechanical vibrations, significant motion errors are induced, which in turn substantially deteriorate the imaging quality. Conventional studies often simplify vibration to a sinusoidal model, but this assumption may not fully reflect real-world conditions. This paper proposes a more realistic perturbation model and a motion compensation scheme based on STFT and PGA, which can better address nonlinear problems. Through actual experiments and ablation studies, this paper demonstrates that this method has the advantages of fewer iterations and better imaging quality. Under the same image contrast, the algorithm proposed in this paper only requires 3 iterations. The PSNR of the imaging results of the algorithm proposed in this paper increases by approximately 3 dB.
KW - Motion Compensation
KW - PGA
KW - STFT
KW - Terahertz Near-Field Imaging
UR - https://www.scopus.com/pages/publications/105043458771
U2 - 10.1109/ISCAS66217.2026.11562620
DO - 10.1109/ISCAS66217.2026.11562620
M3 - 会议稿件
AN - SCOPUS:105043458771
T3 - Proceedings - IEEE International Symposium on Circuits and Systems
SP - 170
EP - 174
BT - ISCAS 2026 - 2026 IEEE International Symposium on Circuits and Systems
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2026 IEEE International Symposium on Circuits and Systems, ISCAS 2026
Y2 - 24 May 2026 through 27 May 2026
ER -