NDLI: One-bit compressive sensing with time-varying thresholds in synthetic aperture radar imaging

Content Provider	IET Digital Library
Author	Demir, Mehmet Erçelebi, Ergun
Abstract	In this study, the authors introduce a new framework for 1-bit compressed synthetic aperture radar (SAR) imaging by using time-varying thresholding. They show how to recover sparse SAR images from noisy measurements which have been quantised to 1-bit with time-varying thresholds. In the conventional 1-bit compressive sensing (CS) SAR imaging methods, 1-bit quantisation is implemented by comparing the received signal to a zero threshold. This makes the information about the magnitude of the signal to be lost and exact signal recovery becomes impossible. One-bit quantisation with time-varying thresholds allows them to reconstruct the magnitude of the signal more accurately and an explicit unit-norm constraint is no longer required in the proposed optimisation formulation. Using the proposed approach, the authors formulate 1-bit CS SAR imaging reconstruction problem as an unconstrained optimisation problem where the objective function includes an ℓ 2 data-fidelity term and a non-smooth regularisation function. In order to solve this unconstrained optimisation problem, they use variable splitting and the alternating direction method of multipliers based approach which is computationally efficient and easy to implement. The results from experiments with synthetic and real SAR images validate the effectiveness of the proposed method named as BCST-SAR (binary CS with time-varying thresholds in SAR imaging).
Starting Page	1517
Ending Page	1526
Page Count	10
ISSN	17518784
Volume Number	12
e-ISSN	17518792
Issue Number	Issue 12, Dec (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rsn/12/12
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2018.5044
Journal	IET Radar, Sonar & Navigation
Publisher Date	2018-08-17
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	1-bit Compressed Synthetic Aperture Radar Imaging 1-bit Compressive Sensing SAR Imaging Methods 1-bit Quantisation Compressed Sensing Computer Vision And Image Processing Technique Image And Video Coding Image Reconstruction Image Segmentation One-bit Quantisation Optimisation Optimisation Technique Quantisation (signal) Radar Imaging Radar Theory Real SAR Image Sparse SAR Image Synthetic Aperture Radar Synthetic SAR Image Time-varying Thresholding Time-varying Thresholds Unconstrained Optimisation Problem Word Length 1 Bit
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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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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