NDLI: High-resolution multiple-input–multiple-output–inverse synthetic aperture radar imaging based on sparse representation

Content Provider	IET Digital Library
Author	Yang, Jianchao Su, Weimin Gu, Hong
Abstract	In this study, a new method based on sparse representation is proposed for multiple-input–multiple-output (MIMO) radar imaging combining with inverse synthetic aperture radar (ISAR) technique. After matched filtering and envelope alignment, the MIMO–ISAR cross-range echo is formulated as a two-dimensional sparse signal with respect to the spatial and slow-time domain. A joint self-calibration and sparse reconstruction algorithm is developed to correct the phase error induced by the target's translational motion and reconstruct the spatial–Doppler scene of the target. Then, the linear relationship between the spatial and Doppler frequencies is utilised to solve the ambiguity of the spatial frequency. Finally, the unambiguous spatial frequency is translated into the cross-range coordinate of the scatterer. Experimental results show that the proposed method is capable of precisely correcting the phase error and achieving high-resolution MIMO–ISAR imaging. In addition, the relative rotation angle required for MIMO–ISAR imaging can also be reduced significantly.
Starting Page	1277
Ending Page	1285
Page Count	9
ISSN	17518784
Volume Number	10
e-ISSN	17518792
Issue Number	Issue 7, Aug (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rsn/10/7
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2015.0517
Journal	IET Radar, Sonar & Navigation
Publisher Date	2016-03-02
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Calibration Doppler Frequency Doppler Radar Echo Envelope Alignment Filtering Method in Signal Processing High-resolution MIMO-ISAR Imaging Image Filtering Image Reconstruction Image Representation Image Resolution Matched Filter Matched Filtering MIMO Radar MIMO-ISAR Cross-range Echo Multiple Input Multiple Output–inverse Synthetic Aperture Radar Optical, Image And Video Signal Processing Phase Error Correct Radar Equipment Radar Imaging Radar Resolution Radar Theory Relative Rotation Angle Reduction Scatterer Cross-range Coordinate Self-calibration Algorithm Slow-time Domain Sparse Reconstruction Algorithm Sparse Representation Spatial Domain Spatial Frequency Synthetic Aperture Radar System And Application Target Spatial-Doppler Scene Reconstruction Target Translational Motion Two-dimensional Sparse Signal
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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