Envelope Correction of Micro-Motion Targets in the Terahertz ISAR Imaging

Yang, Qi; Deng, Bin; Wang, Hongqiang; Qin, Yuliang; Zhang, Ye

doi:10.3390/s18010228

Cited by 4 publications

(1 citation statement)

References 17 publications

(18 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…On the other hand, terahertz (THz) waves have proved superior in their ability to penetrate clothes with inappreciable harm to the human body, and it is thereby suitable for concealed weapon detection. Besides, terahertz waves have a short wavelength and are able to generate wide bandwidths, which can achieve high-resolution imaging [ 8 , 9 , 10 ]. Therefore, 3D imaging using terahertz radar is a promising method in security detection.…”

Section: Introductionmentioning

confidence: 99%

Three-Dimensional Imaging of Terahertz Circular SAR with Sparse Linear Array

Hao¹,

Li²,

Pi³

2018

Sensors

View full text Add to dashboard Cite

Due to the non-contact detection ability of radar and the harmlessness of terahertz waves to the human body, three-dimensional (3D) imaging using terahertz synthetic aperture radar (SAR) is an efficient method of security detection in public areas. To achieve high-resolution and all aspect imaging, circular trajectory movement of radar and linear sensor array along the height direction were used in this study. However, the short wavelength of terahertz waves makes it practically impossible for the hardware to satisfy the half-wavelength spacing condition to avoid grating lobes. To solve this problem, a sparse linear array model based on the equivalent phase center principle was established. With the designed imaging geometry and corresponding echo signal model, a 3D imaging algorithm was derived. Firstly, the phase-preserving algorithm was adopted to obtain the 2D image of the ground plane for each sensor. Secondly, the sparse recovery method was applied to accomplish the scattering coefficient reconstruction along the height direction. After reconstruction of all the range-azimuth cells was accomplished, the final 3D image was obtained. Numerical simulations and experiments using terahertz radar were performed. The imaging results verify the effectiveness of the 3D imaging algorithm for the proposed model and validate the feasibility of terahertz radar applied in security detection.

show abstract

Section: Introductionmentioning

confidence: 99%

Three-Dimensional Imaging of Terahertz Circular SAR with Sparse Linear Array

Hao¹,

Li²,

Pi³

2018

Sensors

View full text Add to dashboard Cite

show abstract

Envelope Correction of Micro-Motion Targets Based on Multi-Layer Perceptron During THz-ISAR Sensing

et al. 2019

Self Cite

View full text Add to dashboard Cite

Translational compensation is one of the key problems in parameter estimation of moving targets and radar imaging, and envelope correction is the basis of translation compensation. However, in inverse synthetic aperture imaging, the traditional translation compensation algorithms cannot be applied to micro-motion targets. Based on the characteristics of micro-motion targets and the advantages of the terahertz radar, a new method of envelope correction for micro-motion targets based on the multi-layer perceptron is proposed in this paper, which is verified by a radar system with a carrier frequency of 330 GHz. The experimental targets adopted in this paper are rotating corner reflectors and precession warhead. Finally, this paper proposes a measure based on inverse Radon transform and compares the performance of the proposed algorithm with that of the previous one, which fully verifies the effectiveness of the proposed method.INDEX TERMS Terahertz radar, envelope correction, multi-layer perceptron, micro-motion, inverse synthetic aperture radar.

show abstract