Next Article in Journal
Surveying Multidisciplinary Aspects in Real-Time Distributed Coding for Wireless Sensor Networks
Previous Article in Journal
High Sensitive and Selective Sensing of Hydrogen Peroxide Released from Pheochromocytoma Cells Based on Pt-Au Bimetallic Nanoparticles Electrodeposited on Reduced Graphene Sheets
Article Menu

Export Article

Open AccessArticle
Sensors 2015, 15(2), 2723-2736; doi:10.3390/s150202723

Fourier-Sparsity Integrated Method for Complex Target ISAR Imagery

College of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China
Author to whom correspondence should be addressed.
Received: 5 November 2014 / Accepted: 21 January 2015 / Published: 26 January 2015
(This article belongs to the Section Remote Sensors)
View Full-Text   |   Download PDF [1080 KB, uploaded 29 January 2015]   |  


In existing sparsity-driven inverse synthetic aperture radar (ISAR) imaging framework a sparse recovery (SR) algorithm is usually applied to azimuth compression to achieve high resolution in the cross-range direction. For range compression, however, direct application of an SR algorithm is not very effective because the scattering centers resolved in the high resolution range profiles at different view angles always exhibit irregular range cell migration (RCM), especially for complex targets, which will blur the ISAR image. To alleviate the sparse recovery-induced RCM in range compression, a sparsity-driven framework for ISAR imaging named Fourier-sparsity integrated (FSI) method is proposed in this paper, which can simultaneously achieve better focusing performance in both the range and cross-range domains. Experiments using simulated data and real data demonstrate the superiority of our proposed framework over existing sparsity-driven methods and range-Doppler methods. View Full-Text
Keywords: inverse synthetic aperture radar; sparse recovery; sparsity-driven; range compression; range cell migration; complex targets inverse synthetic aperture radar; sparse recovery; sparsity-driven; range compression; range cell migration; complex targets

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).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Gao, X.; Liu, Z.; Chen, H.; Li, X. Fourier-Sparsity Integrated Method for Complex Target ISAR Imagery. Sensors 2015, 15, 2723-2736.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top