Analysis of Security Imaging Method for Walking Human Screening With Single Channel Synthetic Aperture Radar

Autor: Shuliang Gui, Jin Li, Feng Zuo, Yiming Pi
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: IEEE Access, Vol 7, Pp 111363-111374 (2019)
Druh dokumentu: article
ISSN: 2169-3536
DOI: 10.1109/ACCESS.2019.2931413
Popis: In this paper, a security screening imaging method for walking human with single channel synthetic aperture radar (SAR) technology is proposed. According to the theory of SAR imaging, the imaging response for each single echo of the three dimensional (3D) moving target is analyzed. Then, the relationships between the accurate degree of imaging result and radar system parameters are presented with the global human walking model, which can be summarized as: positive correlations with radar angular velocity and rotation radius, negative correlations with aperture time and motion velocity, and uncertainty with radar initial angle. Hence, the short synthetic aperture time and high-resolution of terahertz (THz) radar makes it particularly suitable for walking human security imaging. Meanwhile, the main Doppler frequency shift of walking human imaging is corrected by the back-projection (BP) algorithm modified with the estimated velocity detected by the range profile. Besides, the numerical simulation experiments of point targets are provided to verify the conclusion of moving target imaging response. Furthermore, the experiments of walking human are processed with different radar system parameters to demonstrate the performance and effectiveness of our method.
Databáze: Directory of Open Access Journals