Title
DLSLA 3-D SAR imaging algorithm for off-grid targets based on pseudo-polar formatting and atomic norm minimization.
Abstract
This paper concerns the imaging problem for downward looking sparse linear array three-dimensional synthetic aperture radar (DLSLA 3-D SAR) under the circumstance of sparse and non-uniform cross-track dimensional virtual phase centers configuration. Since the 3-D imaging scene behaves typical sparsity in a certain domain, sparse recovery approaches hold the potential to achieve a better reconstruction performance. However, most of the existing compressive sensing (CS) algorithms assume the scatterers located on the pre-discretized grids, which is often violated by the off-grid effect. By contrast, atomic norm minimization (ANM) deals with sparse recovery problem directly on continuous space instead of discrete grids. This paper firstly analyzes the off-grid effect in DLSLA 3-D SAR sparse image reconstruction, and then introduces an imaging method applied to off-gird targets reconstruction which combines 3-D pseudo-polar formatting algorithm (pseudo-PFA) with ANM. With the proposed method, wave propagation and along-track image reconstruction are operated with pseudo-PFA, then the cross-track reconstruction is implemented with semidefinite programming (SDP) based on the ANM model. The proposed method holds the advantage of avoiding the off-grid effect and managing to locate the off-grid targets to accurate locations in different imaging scenes. The performance of the proposed method is verified and evaluated by the 3-D image reconstruction of different scenes, i.e., point targets and distributed scene.
Year
DOI
Venue
2016
10.1007/s11432-015-5477-5
SCIENCE CHINA Information Sciences
Keywords
Field
DocType
atomic norm minimization, DLSLA 3-D SAR, sparse recovery, off-grid targets, pseudo-PFA, 3-D imaging, 原子范数最小化, DLSLA 3-D SAR, 稀疏信号恢复, 偏离网格目标, 伪极坐标变换, 三维成像
Iterative reconstruction,Computer vision,Mathematical optimization,Wave propagation,Computer science,Synthetic aperture radar,Sparse image,Artificial intelligence,Disk formatting,Compressed sensing,Semidefinite programming,Grid
Journal
Volume
Issue
ISSN
59
6
1869-1919
Citations 
PageRank 
References 
5
0.60
17
Authors
6
Name
Order
Citations
PageRank
Qian Bao1162.57
Kuoye Han250.94
Xueming Peng360.95
Wen Hong435549.85
bingchen zhang511017.19
WeiXian Tan66713.92