NDLI: Compressive sensing-based robust off-the-grid stretch processing

Content Provider	IET Digital Library
Author	Ilhan, Ihsan Gurbuz, Ali Cafer Arikan, Orhan
Abstract	Classical stretch processing (SP) obtains high range resolution by compressing large bandwidth signals with narrowband receivers using lower rate analogue-to-digital converters. SP achieves the resolution of the large bandwidth signal by focusing into a limited range window, and by deramping in the analogue domain. SP offers moderate data rate for signal processing for high bandwidth waveforms. Furthermore, if the scene in the examined window is sparse, compressive sensing (CS)-based techniques have the potential to further decrease the required number of measurements. However, CS-based reconstructions are highly affected by model mismatches such as targets that are off-the-grid. This study proposes a sparsity-based iterative parameter perturbation technique for SP that is robust to targets off-the-grid in range or Doppler. The error between reconstructed and actual scenes is measured using Earth mover's distance metric. Performance analyses of the proposed technique are compared with classical CS and SP techniques in terms of data rate, resolution and signal-to-noise ratio. It is shown through simulations that the proposed technique offers robust and high-resolution reconstructions for the same data rate compared with both classical SP- and CS-based techniques.
Starting Page	1730
Ending Page	1735
Page Count	6
ISSN	17518784
Volume Number	11
e-ISSN	17518792
Issue Number	Issue 11, Nov (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rsn/11/11
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2017.0133
Journal	IET Radar, Sonar & Navigation
Publisher Date	2017-08-15
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Analogue Domain Analogue-Digital Conversion Analogue-to-digital Converter Bandwidth Signal Classical Stretch Processing Compressed Sensing Compressive Sensing CS-based Reconstructions CS-based Technique Data Rate Deramping Earth Mover's Distance Metric High Bandwidth Waveform High Range Resolution High-resolution Reconstructions Interpolation And Function Approximation Iterative Method Mathematical Analysis Model Mismatches Narrowband Receiver Numerical Analysis Perturbation Technique Robust Off-the-grid Stretch Processing Signal Processing Signal Processing And Detection Signal Processing Theory Signal Reconstruction Signal Resolution Signal to Noise Ratio Sparsity-based Iterative Parameter Perturbation Technique Waveform Analysis
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

Sparsity-aware adaptive block-based compressive sensing

Continuous basis compressive time-delay estimation in overlapped echoes

Forest Sparsity for Multi-Channel Compressive Sensing

Compressive sensing approach for high-resolution ISAR image reconstruction and autofocus

CS-based processing for high-resolution passive radar with incoherent dictionary

Robust group compressive sensing for DOA estimation with partially distorted observations

CSVE radar: high-range-resolution radar using compressive sensing and virtual expanding technique

Compressive sensing based high-resolution passive bistatic radar

9-bit time–digital-converter-assisted compressive-sensing analogue–digital-converter with 4 GS/s equivalent speed

Compressive sensing-based robust off-the-grid stretch processing

Similar Documents

Sparsity-aware adaptive block-based compressive sensing

Continuous basis compressive time-delay estimation in overlapped echoes

Forest Sparsity for Multi-Channel Compressive Sensing

Compressive sensing approach for high-resolution ISAR image reconstruction and autofocus

CS-based processing for high-resolution passive radar with incoherent dictionary

Robust group compressive sensing for DOA estimation with partially distorted observations

CSVE radar: high-range-resolution radar using compressive sensing and virtual expanding technique

Compressive sensing based high-resolution passive bistatic radar

9-bit time–digital-converter-assisted compressive-sensing analogue–digital-converter with 4 GS/s equivalent speed

Compressive sensing-based robust off-the-grid stretch processing