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Proceedings Paper

Imaging of downward-looking linear array SAR using three-dimensional spatial smoothing MUSIC algorithm
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Paper Abstract

In this paper, a novel three-dimensional imaging algorithm of downward-looking linear array SAR is presented. To improve the resolution, multiple signal classification (MUSIC) algorithm has been used. However, since the scattering centers are always correlated in real SAR system, the estimated covariance matrix becomes singular. To address the problem, a three-dimensional spatial smoothing method is proposed in this paper to restore the singular covariance matrix to a full-rank one. The three-dimensional signal matrix can be divided into a set of orthogonal three-dimensional subspaces. The main idea of the method is based on extracting the array correlation matrix as the average of all correlation matrices from the subspaces. In addition, the spectral height of the peaks contains no information with regard to the scattering intensity of the different scattering centers, thus it is difficulty to reconstruct the backscattering information. The least square strategy is used to estimate the amplitude of the scattering center in this paper. The above results of the theoretical analysis are verified by 3-D scene simulations and experiments on real data.

Paper Details

Date Published: 21 October 2014
PDF: 7 pages
Proc. SPIE 9243, SAR Image Analysis, Modeling, and Techniques XIV, 924312 (21 October 2014); doi: 10.1117/12.2067025
Show Author Affiliations
Siqian Zhang, National Univ. of Defense Technology (China)
Gangyao Kuang, National Univ. of Defense Technology (China)

Published in SPIE Proceedings Vol. 9243:
SAR Image Analysis, Modeling, and Techniques XIV
Claudia Notarnicola; Simonetta Paloscia; Nazzareno Pierdicca, Editor(s)

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