DLSLA 3-D SAR imaging algorithm for off-grid targets based on pseudo-polar formatting and atomic norm minimization
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- 作者：Qian Bao ; Kuoye Han ; Xueming Peng ; Wen Hong…
- 刊名：SCIENCE CHINA Information Sciences
- 出版年：2016
- 出版时间：June 2016
- 年：2016
- 卷：59
- 期：6
- 全文大小：2,089 KB
- 刊物类别：Computer Science
- 刊物主题：Chinese Library of Science
Information Systems and Communication Service - 出版者：Science China Press, co-published with Springer
- ISSN：1869-1919
- 卷排序：59
文摘
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.Keywordsatomic norm minimizationDLSLA 3-D SARsparse recoveryoff-grid targetspseudo-PFA3-D imaging