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Joint Sparsity Constraint Interferometric ISAR Imaging for 3-D Geometry of Near-Field Targets with Sub-Apertures

1
School of Electronics and Information, Northwestern Polytechnical University, Xi’an 710072, China
2
National Key Laboratory of Science and Technology on UAV, Northwestern Polytechnical University, Xi’an 710065, China
3
School of Computer Science and Technology, Xidian University, Xi’an 710071, China
4
Department of Information Engineering, PAP of Engineering University, Xi’an 710068, China
*
Authors to whom correspondence should be addressed.
Sensors 2018, 18(11), 3750; https://doi.org/10.3390/s18113750
Received: 9 October 2018 / Revised: 30 October 2018 / Accepted: 31 October 2018 / Published: 2 November 2018
(This article belongs to the Special Issue Synthetic Aperture Radar (SAR) Techniques and Applications)
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Abstract

This paper proposes a new interferometric near-field 3-D imaging approach based on multi-channel joint sparse reconstruction to solve the problems of conventional methods, i.e., the irrespective correlation of different channels in single-channel independent imaging which may lead to deviated positions of scattering points, and the low accuracy of imaging azimuth angle for real anisotropic targets. Firstly, two full-apertures are divided into several sub-apertures by the same standard; secondly, the joint sparse metric function is constructed based on scattering characteristics of the target in multi-channel status, and the improved Orthogonal Matching Pursuit (OMP) method is used for imaging solving, so as to obtain high-precision 3-D image of each sub-aperture; thirdly, comprehensive sub-aperture processing is performed using all sub-aperture 3-D images to obtain the final 3-D images; finally, validity of the proposed approach is verified by using simulation electromagnetic data and data measured in the anechoic chamber. Experimental results show that, compared with traditional interferometric ISAR imaging approaches, the algorithm proposed in this paper is able to provide a higher accuracy in scattering center reconstruction, and can effectively maintain relative phase information of channels. View Full-Text
Keywords: joint sparse reconstruction; interferometric inverse synthetic aperture radar; compressed sensing; near-field 3-D imaging; wide angle joint sparse reconstruction; interferometric inverse synthetic aperture radar; compressed sensing; near-field 3-D imaging; wide angle
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Fang, Y.; Wang, B.; Sun, C.; Wang, S.; Hu, J.; Song, Z. Joint Sparsity Constraint Interferometric ISAR Imaging for 3-D Geometry of Near-Field Targets with Sub-Apertures. Sensors 2018, 18, 3750.

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