A handheld, EOIR, synthetic aperture, beyond-diffraction-limited, 3D imaging prototype

2020 ◽  
Author(s):  
James A. Georges ◽  
Michael Yuskowatz ◽  
Keith Stokely ◽  
John Valenzuela
Keyword(s):  
3D Imaging ◽  
Synthetic Aperture

scholarly journals A Novel Orthogonal Waveform Separation Scheme for Airborne MIMO-SAR Systems

Sensors ◽  
2018 ◽  
Vol 18 (10) ◽  
pp. 3580 ◽  
Author(s):  
Jie Wang ◽  
Ke-Hong Zhu ◽  
Li-Na Wang ◽  
Xing-Dong Liang ◽  
Long-Yong Chen
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Synthetic Aperture Radar ◽  
3D Imaging ◽  
Synthetic Aperture ◽  
Separation Scheme ◽  
Sar Images ◽  
Wide Swath ◽  
Aperture Radar

In recent years, multi-input multi-output (MIMO) synthetic aperture radar (SAR) systems, which can promote the performance of 3D imaging, high-resolution wide-swath remote sensing, and multi-baseline interferometry, have received considerable attention. Several papers on MIMO-SAR have been published, but the research of such systems is seriously limited. This is mainly because the superposed echoes of the multiple transmitted orthogonal waveforms cannot be separated perfectly. The imperfect separation will introduce ambiguous energy and degrade SAR images dramatically. In this paper, a novel orthogonal waveform separation scheme based on echo-compression is proposed for airborne MIMO-SAR systems. Specifically, apart from the simultaneous transmissions, the transmitters are required to radiate several times alone in a synthetic aperture to sense their private inner-aperture channels. Since the channel responses at the neighboring azimuth positions are relevant, the energy of the solely radiated orthogonal waveforms in the superposed echoes will be concentrated. To this end, the echoes of the multiple transmitted orthogonal waveforms can be separated by cancelling the peaks. In addition, the cleaned echoes, along with original superposed one, can be used to reconstruct the unambiguous echoes. The proposed scheme is validated by simulations.

scholarly journals 3D Imaging Millimeter Wave Circular Synthetic Aperture Radar

2017 ◽  
Author(s):  
Renyuan Zhang ◽  
Siyang Cao
Keyword(s):  
High Resolution ◽  
Millimeter Wave ◽  
Radon Transform ◽  
3D Imaging ◽  
Synthetic Aperture ◽  
Experimental Result ◽  
Imaging Radar ◽  
Circular Track ◽  
Inverse Radon Transform ◽  
Inverse Radon

In this paper, a new millimeter wave 3D imaging radar is proposed. The user just needs to move the radar along a circular track, a high resolution 3D imaging can be generated. The proposed radar uses the movement of itself to synthesize a large aperture in both the azimuth and elevation directions. It can utilize inverse Radon transform to resolve 3D imaging. To improve the sensing result, compressed sensing approach is further investigated. The simulation and experimental result further illustrated the design. Because a single transceiver circuit is needed, a light, affordable and high resolution 3D mmWave imaging radar is illustrated in the paper.

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

2021 ◽  
Vol 13 (4) ◽  
pp. 782
Author(s):  
Hongwei Li ◽  
Chao Li ◽  
Shiyou Wu ◽  
Shen Zheng ◽  
Guangyou Fang
Keyword(s):  
Synthetic Aperture Radar ◽  
3D Imaging ◽  
Imaging System ◽  
Synthetic Aperture ◽  
Moving Targets ◽  
Thz Imaging ◽  
Inverse Synthetic Aperture Radar ◽  
3D Images ◽  
Imaging Results ◽  
Aperture Radar

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.

3D Imaging of Bistatic Inverse Synthetic Aperture Radar Based on the Factorization Method

2013 ◽  
Vol 347-350 ◽  
pp. 1091-1095
Author(s):  
Xin Wang ◽  
Chao Xuan Shang
Keyword(s):  
3D Reconstruction ◽  
Synthetic Aperture Radar ◽  
3D Imaging ◽  
Factorization Method ◽  
Synthetic Aperture ◽  
Inverse Synthetic Aperture Radar ◽  
Scattering Centers ◽  
Reconstruction Model ◽  
2D Images ◽  
Aperture Radar

Based on the geometrical projection of 3D scattering centers on the line of radar sight, a new method of bistatic inverse synthetic aperture radar 3D Imaging is proposed. In the method, Range-Doppler algorithm gives a sequence of 2D images of target during its motion, and 3D reconstruction of target geometry is completed by the factorization method. We analyzed the theory of Bi-ISAR 3D imaging, deduced the process of the factorization method, and introduced the hierarchical reconstruction model. The simulation verified the validity of the paper.

3D Imaging with a Synthetic Aperture Radar

2018 ◽  
Vol 82 (8) ◽  
pp. 1068-1072
Author(s):  
A. A. Rozhentsov ◽  
A. N. Leukhin ◽  
V. I. Bezrodnyi ◽  
A. A. Voronin ◽  
N. A. Kokovihina
Keyword(s):  
Synthetic Aperture Radar ◽  
3D Imaging ◽  
Synthetic Aperture ◽  
Aperture Radar
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