Wideband underwater sonar imaging via compressed sensing with scaling effect compensation

Yan, Huichen; Xu, Jia; Xia, Xiang-Gen; Liu, Feng; Peng, Shibao; Zhang, Xudong; Li, Teng

doi:10.1007/s11432-014-5264-8

Cited by 12 publications

(7 citation statements)

References 15 publications

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“…Meanwhile, the cross-track interferometry synthetic aperture radar (XTI-SAR) is usually used for the digital elevation model (DEM) generation [16,17,18] in the side-looking application because the interferometry phases among cross-track multiple receivers are sensitive to the target’s height. Nevertheless, few studies can be found on GMTI for XTI-SAR, though many real systems with cross-baselines still only have strong demands on the GMTI [19,20,21,22,23,24,25,26,27,28]. For example, the airborne navigation or fire-control radars are normally mounted on the plane nose with a forward-looking array antenna, where the receivers are all distributed in the plane perpendicular to the flying track.…”

Section: Introductionmentioning

confidence: 99%

GMTI for Squint Looking XTI-SAR with Rotatable Forward-Looking Array

Jing

Huang

et al. 2016

Sensors

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To realize ground moving target indication (GMTI) for a forward-looking array, we propose a novel synthetic aperture radar (SAR) system, called rotatable cross-track interferometry SAR (Ro-XTI-SAR), for squint-looking application in this paper. By changing the angle of the cross-track baseline, the interferometry phase component of squint-looking Ro-XTI-SAR caused by the terrain height can be approximately adjusted to zero, and then the interferometry phase of Ro-XTI-SAR is only sensitive to targets’ motion and can be equivalent to the along track interferometry SAR (ATI-SAR). Furthermore, the conventional displaced phase center array (DPCA) method and constant false alarm (CFAR) processing can be used to accomplish the successive clutter suppression, moving targets detection and relocation. Furthermore, the clutter suppressing performance is discussed with respect to different system parameters. Finally, some results of numerical experiments are provided to demonstrate the effectiveness of the proposed system.

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Section: Introductionmentioning

confidence: 99%

GMTI for Squint Looking XTI-SAR with Rotatable Forward-Looking Array

Jing

Huang

et al. 2016

Sensors

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“…To solve the above problem, methods based on dictionary learning [16] or joint sparse recovery algorithms [14,17] are proposed, but they are still established on the foundation of discrete dictionary or consider the high order Taylor approximation of the off-grid error. Besides, a modified L1-norm minimization algorithm is proposed to solve the model mismatch problem in wideband underwater sonar imaging [18], however, it is not suitable for the narrowband signal model in SAR imaging. By contrast, the model of atomic norm [19,20], which deals with sparse recovery problem directly on the continuous bearing space instead of discrete grids, has been studied in line spectral estimation and direction of arrival (DOA) estimation to solve the off-grid problem [19][20][21].…”

Section: Introductionmentioning

confidence: 99%

DLSLA 3-D SAR imaging algorithm for off-grid targets based on pseudo-polar formatting and atomic norm minimization

Bao

Han

Peng³

et al. 2016

Sci. China Inf. Sci.

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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.

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“…Multifunctional SAR with large-area static scene imaging and ground moving target indication (SAR/GMTI) has drawn much more attentions in recent past decades [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32]. In the most of applications, not only the point moving targets but also the distributed moving targets are interested.…”

Section: Introductionmentioning

confidence: 99%

SAR Ground Moving Target Indication Based on Relative Residue of DPCA Processing

Huang

Liang

et al. 2016

Sensors

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For modern synthetic aperture radar (SAR), it has much more urgent demands on ground moving target indication (GMTI), which includes not only the point moving targets like cars, truck or tanks but also the distributed moving targets like river or ocean surfaces. Among the existing GMTI methods, displaced phase center antenna (DPCA) can effectively cancel the strong ground clutter and has been widely used. However, its detection performance is closely related to the target’s signal-to-clutter ratio (SCR) as well as radial velocity, and it cannot effectively detect the weak large-sized river surfaces in strong ground clutter due to their low SCR caused by specular scattering. This paper proposes a novel method called relative residue of DPCA (RR-DPCA), which jointly utilizes the DPCA cancellation outputs and the multi-look images to improve the detection performance of weak river surfaces. Furthermore, based on the statistics analysis of the RR-DPCA outputs on the homogenous background, the cell average (CA) method can be well applied for subsequent constant false alarm rate (CFAR) detection. The proposed RR-DPCA method can well detect the point moving targets and distributed moving targets simultaneously. Finally, the results of both simulated and real data are provided to demonstrate the effectiveness of the proposed SAR/GMTI method.

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Wideband underwater sonar imaging via compressed sensing with scaling effect compensation

Cited by 12 publications

References 15 publications

GMTI for Squint Looking XTI-SAR with Rotatable Forward-Looking Array

GMTI for Squint Looking XTI-SAR with Rotatable Forward-Looking Array

DLSLA 3-D SAR imaging algorithm for off-grid targets based on pseudo-polar formatting and atomic norm minimization

SAR Ground Moving Target Indication Based on Relative Residue of DPCA Processing

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