NDLI: Deep learning for waveform estimation and imaging in passive radar

Content Provider	IET Digital Library
Author	Yonel, Bariscan Mason, Eric Yazici, Birsen
Abstract	The authors consider a bistatic configuration with a stationary transmitter transmitting unknown waveforms of opportunity and a single moving receiver and present a deep learning (DL) framework for passive synthetic aperture radar (SAR) imaging. They approach DL from an optimisation based perspective and formulate image reconstruction as a machine learning task. By unfolding the iterations of a proximal gradient descent algorithm, they construct a deep recurrent neural network (RNN) that is parameterised by the transmitted waveforms. They cascade the RNN structure with a decoder stage to form a recurrent auto-encoder architecture. They then use backpropagation to learn transmitted waveforms by training the network in an unsupervised manner using SAR measurements. The highly non-convex problem of backpropagation is guided to a feasible solution over the parameter space by initialising the network with the known components of the SAR forward model. Moreover, prior information regarding the waveform structure is incorporated during initialisation and backpropagation. They demonstrate the effectiveness of the DL-based approach through numerical simulations that show focused, high contrast imagery using a single receiver antenna at realistic signal-to-noise-ratio levels.
Starting Page	915
Ending Page	926
Page Count	12
ISSN	17518784
Volume Number	13
e-ISSN	17518792
Issue Number	Issue 6, Jun (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rsn/13/6
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2018.5228
Journal	IET Radar, Sonar & Navigation
Publisher Date	2019-02-11
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Antenna Backpropagation Bistatic Configuration Computer Vision And Image Processing Technique Concave Programming Deep Learning Framework Deep Recurrent Neural Network Electrical Engineering Computing Encoding Gradient Method Image Reconstruction Interpolation And Function Approximation Iterative Method Knowledge Engineering Technique Learning in AI Machine Learning Task Moving Receiver Neural Computing Technique Numerical Analysis Optical, Image And Video Signal Processing Optimisation Technique Passive Radar Passive Radar Method Passive Synthetic Aperture Radar Imaging Proximal Gradient Descent Algorithm Radar Computing Radar Equipment Radar Imaging Receiving Antenna Recurrent Neural Nets Recurrent-auto Encoder Architecture RNN Structure SAR Forward Model SAR Measurement Single Receiver Stationary Transmitter Statistics Sufficient Directivity Synthetic Aperture Radar System And Application Transmitted Waveform Waveform Estimation Waveform Structure
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

Sl.	Authority	Responsibilities	Communication Details
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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