Sparse SAR Imaging Based on Periodic Block Sampling Data
- 15 September 2021
- journal article
- research article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Geoscience and Remote Sensing
- Vol. 60 (01962892), 1-12
- https://doi.org/10.1109/tgrs.2021.3110772
Abstract
Recently, a novel design scheme of low-earth-orbit spaceborne mini-synthetic aperture radar (MiniSAR) system is proposed to exploit the integrated transceiver to collect the azimuth periodic block sampling data by using alternated transmitting and receiving operations. Because such collected data are downsampled, the images recovered by the typical matched filtering (MF)-based methods have the problems of obvious azimuth ambiguities, ghosts, and energy dispersion. To find a suitable method for such data, with the help of sparse signal processing technique, we first introduce sparse synthetic aperture radar (SAR) imaging with $\ell _{1}$ -norm regularization-based approximated observation method to recover the large-scale considered scene. To further improve the imaging performance, a novel approximated observation unambiguous sparse SAR imaging method via $\ell _{2,1}$ -norm is proposed. Compared with $\ell _{1}$ -norm -based method, the recovered image by the proposed one achieves better imaging quality with reduced azimuth ambiguities and ghosts. Experimental results on simulated and real data validate the proposed method.Keywords
Funding Information
- National Natural Science Foundation of China (61901213)
- Basic and Applied Basic Research Foundation of Guangdong Province (2020B1515120060)
- Fundamental Research Funds for the Central Universities (NE2020004)
- Natural Science Foundation of Jiangsu Province (BK20190397)
- Aeronautical Science Foundation of China (201920052001, 20182052013)
- Science and Technology Innovation Project for Overseas Researchers in Nanjing
- Young Science and Technology Talent Support Project of Jiangsu Science and Technology Association
This publication has 33 references indexed in Scilit:
- Fast missing-data IAA with application to notched spectrum SARIEEE Transactions on Aerospace and Electronic Systems, 2014
- Sparsity-Driven Synthetic Aperture Radar Imaging: Reconstruction, autofocusing, moving targets, and compressed sensingIEEE Signal Processing Magazine, 2014
- Sparse microwave imaging: Principles and applicationsScience China Information Sciences, 2012
- Advanced image formation and processing of partial synthetic aperture radar dataIET Signal Processing, 2012
- COSMO-SkyMed an existing opportunity for observing the EarthJournal of Geodynamics, 2010
- Model Selection and Estimation in Regression with Grouped VariablesJournal of the Royal Statistical Society Series B: Statistical Methodology, 2005
- An iterative thresholding algorithm for linear inverse problems with a sparsity constraintCommunications on Pure and Applied Mathematics, 2004
- Amplitude spectrum estimation for two-dimensional gapped dataIEEE Transactions on Signal Processing, 2002
- ‘SAR-lupe’, an important German initiativeAir & Space Europe, 2000
- The SIR-C/X-SAR Synthetic Aperture Radar systemIEEE Transactions on Geoscience and Remote Sensing, 1995