Experimental Research on Interferometric Inverse Synthetic Aperture Radar Imaging with Multi-Channel Terahertz Radar System

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

doi:10.3390/s19102330

Cited by 14 publications

(11 citation statements)

References 35 publications

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“…According to the difference in elevation dimension imaging, 3-D radar imaging systems are mainly divided into two categories. First-class imaging systems utilize the interferometry technique and equivalent geometry to retrieve target height information [7]. The interferometry imaging handles phase differences from multiple SAR/ISAR images produced by multiple receivers of different views.…”

Section: Introductionmentioning

confidence: 99%

Fast and High-Quality 3-D Terahertz Super-Resolution Imaging Using Lightweight SR-CNN

et al. 2021

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High-quality three-dimensional (3-D) radar imaging is one of the challenging problems in radar imaging enhancement. The existing sparsity regularizations are limited to the heavy computational burden and time-consuming iteration operation. Compared with the conventional sparsity regularizations, the super-resolution (SR) imaging methods based on convolution neural network (CNN) can promote imaging time and achieve more accuracy. However, they are confined to 2-D space and model training under small dataset is not competently considered. To solve these problem, a fast and high-quality 3-D terahertz radar imaging method based on lightweight super-resolution CNN (SR-CNN) is proposed in this paper. First, an original 3-D radar echo model is presented and the expected SR model is derived by the given imaging geometry. Second, the SR imaging method based on lightweight SR-CNN is proposed to improve the image quality and speed up the imaging time. Furthermore, the resolution characteristics among spectrum estimation, sparsity regularization and SR-CNN are analyzed by the point spread function (PSF). Finally, electromagnetic computation simulations are carried out to validate the effectiveness of the proposed method in terms of image quality. The robustness against noise and the stability under small are demonstrate by ablation experiments.

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Section: Introductionmentioning

confidence: 99%

Fast and High-Quality 3-D Terahertz Super-Resolution Imaging Using Lightweight SR-CNN

et al. 2021

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“…Besides, the photon energy of THz waves is much lower than the familiar X-ray, causing nearly no harm to human bodies. The above advantages show the great potential of THz imaging and sensing in plenty of applications [2], including public security detection [3][4][5][6][7][8][9][10][11][12][13][14][15][16], radar imaging [17][18][19][20][21][22][23][24][25][26][27], non-destructive inspection [28,29], and biomedical testing [30].…”

Section: Introductionmentioning

confidence: 99%

“…Recently, the interferometric technique is applied to the THz ISAR imaging system, for the purpose of acquiring the 3D images of moving targets. Researchers from the National University of Defense Technology (NUDT) developed an interferometric inverse synthetic aperture radar (InISAR) imaging system in the 0.22 THz band [26,27], and achieved 3D images of targets undergoing turntable rotation or equivalent translational movement. However, the effective FOV is still restricted by the antenna aperture, once the targets move out the FOV, they cannot be imaged continuously.…”

Section: Introductionmentioning

confidence: 99%

Adaptive 3D Imaging for Moving Targets Based on a SIMO InISAR Imaging System in 0.2 THz Band

et al. 2021

Remote Sensing

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Terahertz (THz) imaging technology has received increased attention in recent years and has been widely applied, whereas the three-dimensional (3D) imaging for moving targets remains to be solved. In this paper, an adaptive 3D imaging scheme is proposed based on a single input and multi-output (SIMO) interferometric inverse synthetic aperture radar (InISAR) imaging system to achieve 3D images of moving targets in THz band. With a specially designed SIMO antenna array, the angular information of the targets can be determined using the phase response difference in different receiving channels, which then enables accurate tracking by adaptively adjusting the antenna beam direction. On the basis of stable tracking, the high-resolution imaging can be achieved. A combined motion compensation method is proposed to produce well-focused and coherent inverse synthetic aperture radar (ISAR) images from different channels, based on which the interferometric imaging is performed, thus forming the 3D imaging results. Lastly, proof-of-principle experiments were performed with a 0.2 THz SIMO imaging system, verifying the effectiveness of the proposed scheme. Non-cooperative moving targets were accurately tracked and the 3D images obtained clearly identify the targets. Moreover, the dynamic imaging results of the moving targets were achieved. The promising results demonstrate the superiority of the proposed scheme over the existing THz imaging systems in realizing 3D imaging for moving targets. The proposed scheme shows great potential in detecting and monitoring moving targets with non-cooperative movement, including unmanned military vehicles and space debris.

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“…Inverse synthetic aperture radar (ISAR) can image non-cooperative targets and obtain high-resolution two-dimension (2-D) images, serving as an effective tool for radar target recognition with broad applications in civilian and military fields [ 1 , 2 , 3 , 4 , 5 , 6 ]. The Range-Doppler (RD) algorithm is usually adopted to generate the target’s ISAR images [ 7 ], but the obtained images only reveal the Doppler information of the target in the azimuth dimension rather than the information about the actual size of the target.…”

Section: Introductionmentioning

confidence: 99%

High-Resolution ISAR Imaging with Modified Joint Range Spatial-Variant Autofocus and Azimuth Scaling

Wei

Shao

et al. 2020

Sensors

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Well-focused and accurately scaled high-resolution inverse synthetic aperture radar (ISAR) images provide a sound basis for feature extraction and target recognition. This paper proposes a novel high-resolution ISAR imaging algorithm, namely modified joint range spatial-variant autofocus and azimuth scaling algorithm (MJAAS). After motion compensation, the shift of the equivalent rotational center (ERC) of the target destroys the linear relationship between the azimuth chirp rates (ACR) of echo signals and the range coordinates of scattering points, thereby leading to the failure of azimuth scaling. Accordingly, a new joint equivalent rotational center position and effective rotational velocity (JERCP-ERV) signal model is established, serving as the basis of MJAAS. By recourse to the Davidon-Fletcher-Powell (DFP) algorithm, MJAAS can jointly estimate the ERCP and ERV by solving a minimum entropy optimization problem, so as to simultaneously achieve accurate azimuth scaling and range spatial-variant autofocus, which further improves the image focusing performance. MJAAS is not restricted by the modes of motion errors (coherent or non-coherent) and the motion compensation methods, so it can be widely applied to real data with the advantages of strong practicality and high accuracy. Extensive experimental results based on both simulated and real data are provided to corroborate the effectiveness of the proposed algorithm.

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Experimental Research on Interferometric Inverse Synthetic Aperture Radar Imaging with Multi-Channel Terahertz Radar System

Cited by 14 publications

References 35 publications

Fast and High-Quality 3-D Terahertz Super-Resolution Imaging Using Lightweight SR-CNN

Fast and High-Quality 3-D Terahertz Super-Resolution Imaging Using Lightweight SR-CNN

Adaptive 3D Imaging for Moving Targets Based on a SIMO InISAR Imaging System in 0.2 THz Band

High-Resolution ISAR Imaging with Modified Joint Range Spatial-Variant Autofocus and Azimuth Scaling

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