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AN IMPROVED SAR-GMTI METHOD BASED ON eigen-decomposition OF THE SAMPLE COVARIANCE MATRIX

Journal of Electronics(China) 2010年第3期27卷 382-390页

作者： Tian Bin Zhu Daiyin Zhu Zhaoda College of Information Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing 210016 China

An improved two-channel Synthetic Aperture Radar Ground Moving Target Indication (SAR-GMTI) method based on eigen-decomposition of the covariance matrix is investigated. Based on the joint Probability Density Function (PDF) of the Along-Track Interferometric (ATI) phase and the similarity between the two SAR complex images, a novel ellipse detector is presented and is applied to the indication of ground moving targets. We derive its statistics and analyze the performance of detection process in detail. Compared with the approach using the ATI phase, the ellipse detector has a better performance of detection in homogenous clutter. Numerical experiments on simulated data are presented to validate the improved performance of the ellipse detector with respect to the ATI phase approach. Finally, the detection capability of the proposed method is demonstrated by measured SAR data.

关键词： Ground moving target indication Sample covariance matrix eigen-decomposition Ellipse detector

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ORTHOGONAL PIECE-WISE POLYNOMIALS BASIS ON AN ARBITRARY TRIANGULAR DOMAIN AND ITS APPLICATIONS

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Journal of Computational Mathematics 2001年第1期19卷 55-66页

作者： Jia-chang Sun. (Parallel Computing Division, Institute of Software, Chinese Academy of Sciences, Beijing 100080, China) 中科院软件所北京 00080

Presents a way to construct orthogonal piece-wise polynomials on an arbitrary triangular domain via barycentric coordinates. Solution of a boundary value problem for Laplace equation; Methodology; Results and discussion.

关键词： orthogonal piece-wise polynomials triangular domain eigen-decomposition

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An estimation method for InSAR interferometric phase combined with image auto-coregistration

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Science in China(Series F) 2006年第3期49卷 386-396页

作者： LI Hai LI Zhenfang LIAO Guisheng BAO Zheng National Laboratory of Radar Signal Processing Xidian University Xi'an 710071 China

In this paper we propose a method to estimate the InSAR interferometric phase of the steep terrain based on the terrain model of local plane by using the joint subspace projection technique proposed in our previous paper. The method takes advantage of the coherence information of neighboring pixel pairs to auto-coregister the SAR images and employs the projection of the joint signal subspace onto the corresponding joint noise subspace to estimate the terrain interferometric phase. The method can auto-coregister the SAR images and reduce the interferometric phase noise simultaneously. Theoretical analysis and computer simulation results show that the method can provide accurate estimate of the interferometric phase （interferogram） of very steep terrain even if the coregistration error reaches one pixel. The effectiveness of the method is verified via simulated data and real data.

关键词： synthetic aperture radar interferometry (InSAR) subspace projection single-baseline interferometric phase eigen-decomposition image coregistration local plane.

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