MIMO-SAR waveforms separation based on virtual polarization filter

Meng, Cui; Xu, Jia; Xia, Xiang-Gen; Liu, Feng; Li, Teng; Mao, Erke; Yang, Jian; Peng, Yingning

doi:10.1007/s11432-014-5233-2

Cited by 9 publications

(10 citation statements)

References 14 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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“…The source number and direction of arrival (DOA) estimation are two important subjects in array signal processing [1,2]. Many algorithms for estimating these parameters have been proposed in the past decades [3][4][5][6][7]. The common approach for determining the source number is to use a certain information theoretic criterion [3,4] in an additive white Gaussian noise (AWGN) environment, e.g., the AIC and MDL criteria.…”

Section: Dear Editormentioning

confidence: 99%

“…The common approach for determining the source number is to use a certain information theoretic criterion [3,4] in an additive white Gaussian noise (AWGN) environment, e.g., the AIC and MDL criteria. Conventional DOA estimation algorithms can be roughly classified into two types, beamforming techniques and eigenstructure-based methods [4][5][6][7], such as the Capon, MUSIC and Root-MUSIC algorithms. In addition, the mCapon method [5] has been proposed to improve the resolution performance of the Capon algorithm by using an adjustable power parameter m.…”

Section: Dear Editormentioning

confidence: 99%

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Joint number and DOA estimation via the eigen-beam mCapon method for closely spaced sources

Gao

Xin

2015

Sci. China Inf. Sci.

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Articles you may be interested in 2-D spatial-spectrum estimation for wide-band signals without a priori knowledge of the number of sources Science in China Series E-Technological Sciences 39, 386 (1996); Joint diagonalization DOA matrix method Science in China Series F-Information Sciences 51, 1340 (2008); Joint frequency, 2-D DOA, and polarization estimation using parallel factor analysis Science in China Series F-Information Sciences 52, 1891 (2009); On the placement of actuators and sensors for flexible structures with closely spaced modes SCIENCE CHINA Technological Sciences 53, 1973 (2010); An erosional hiatus in Chinese loess sequences revealed by closely spaced optical dating

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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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MIMO-SAR waveforms separation based on virtual polarization filter

Cited by 9 publications

References 14 publications

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

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

Joint number and DOA estimation via the eigen-beam mCapon method for closely spaced sources

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

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