IEICE TRANSACTIONS on Fundamentals
A Realization of Signal-Model-Based SAR Imaging via Atomic Decomposition
Summary :
A signal-model-based SAR image formation algorithm is proposed in this paper. A model is used to describe the received signal, and each scatterer can be characterized by a set of its parameters. Two parameter estimation methods via atomic decomposition are presented: (1) applying 1-D matching pursuit to azimuthal projection data; (2) applying 2-D matching pursuit to raw data. The estimated parameters are mapped to form a SAR image, and the mapping procedure can be implemented under application guidelines. This algorithm requires no prior information about the relative motion between the platform and the target. The Cramer-Rao bounds of parameter estimation are derived, and the root mean square errors of the estimates are close to the bounds. Experimental results are given to validate the algorithm and indicate its potential applications.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E98-A No.9 pp.1906-1913
- Publication Date
- 2015/09/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E98.A.1906
- Type of Manuscript
- PAPER
- Category
- Digital Signal Processing
Authors
Yesheng GAO
Shanghai Jiao Tong University
Hui SHENG
Shanghai Jiao Tong University
Kaizhi WANG
Shanghai Jiao Tong University
Xingzhao LIU
Shanghai Jiao Tong University
Keyword
Latest Issue
Copyrights notice of machine-translated contents
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Cite this
Copy
Yesheng GAO, Hui SHENG, Kaizhi WANG, Xingzhao LIU, "A Realization of Signal-Model-Based SAR Imaging via Atomic Decomposition" in IEICE TRANSACTIONS on Fundamentals,
vol. E98-A, no. 9, pp. 1906-1913, September 2015, doi: 10.1587/transfun.E98.A.1906.
Abstract: A signal-model-based SAR image formation algorithm is proposed in this paper. A model is used to describe the received signal, and each scatterer can be characterized by a set of its parameters. Two parameter estimation methods via atomic decomposition are presented: (1) applying 1-D matching pursuit to azimuthal projection data; (2) applying 2-D matching pursuit to raw data. The estimated parameters are mapped to form a SAR image, and the mapping procedure can be implemented under application guidelines. This algorithm requires no prior information about the relative motion between the platform and the target. The Cramer-Rao bounds of parameter estimation are derived, and the root mean square errors of the estimates are close to the bounds. Experimental results are given to validate the algorithm and indicate its potential applications.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E98.A.1906/_p
Copy
@ARTICLE{e98-a_9_1906,
author={Yesheng GAO, Hui SHENG, Kaizhi WANG, Xingzhao LIU, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Realization of Signal-Model-Based SAR Imaging via Atomic Decomposition},
year={2015},
volume={E98-A},
number={9},
pages={1906-1913},
abstract={A signal-model-based SAR image formation algorithm is proposed in this paper. A model is used to describe the received signal, and each scatterer can be characterized by a set of its parameters. Two parameter estimation methods via atomic decomposition are presented: (1) applying 1-D matching pursuit to azimuthal projection data; (2) applying 2-D matching pursuit to raw data. The estimated parameters are mapped to form a SAR image, and the mapping procedure can be implemented under application guidelines. This algorithm requires no prior information about the relative motion between the platform and the target. The Cramer-Rao bounds of parameter estimation are derived, and the root mean square errors of the estimates are close to the bounds. Experimental results are given to validate the algorithm and indicate its potential applications.},
keywords={},
doi={10.1587/transfun.E98.A.1906},
ISSN={1745-1337},
month={September},}
Copy
TY - JOUR
TI - A Realization of Signal-Model-Based SAR Imaging via Atomic Decomposition
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1906
EP - 1913
AU - Yesheng GAO
AU - Hui SHENG
AU - Kaizhi WANG
AU - Xingzhao LIU
PY - 2015
DO - 10.1587/transfun.E98.A.1906
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E98-A
IS - 9
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - September 2015
AB - A signal-model-based SAR image formation algorithm is proposed in this paper. A model is used to describe the received signal, and each scatterer can be characterized by a set of its parameters. Two parameter estimation methods via atomic decomposition are presented: (1) applying 1-D matching pursuit to azimuthal projection data; (2) applying 2-D matching pursuit to raw data. The estimated parameters are mapped to form a SAR image, and the mapping procedure can be implemented under application guidelines. This algorithm requires no prior information about the relative motion between the platform and the target. The Cramer-Rao bounds of parameter estimation are derived, and the root mean square errors of the estimates are close to the bounds. Experimental results are given to validate the algorithm and indicate its potential applications.
ER -
English
