SPARSE AUTOFOCUS RECOVERY FOR UNDER-SAMPLED LINEAR ARRAY SAR 3-D IMAGING
نویسندگان
چکیده
منابع مشابه
Linear Array Sar 3 - D Imaging
Linear array synthetic aperture radar (LASAR) is a promising radar 3-D imaging technique. In this paper, we address the problem of sparse recovery of LASAR image from under-sampled and phase errors interrupted echo data. It is shown that the unknown LASAR image and the nuisance phase errors can be constructed as a bilinear measurement model, and then the under-sampled LASAR imaging with phase e...
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In recent years, various attempts have been undertaken to obtain three-dimensional (3-D) reflectivity of observed scene from synthetic aperture radar (SAR) technique. Linear array SAR (LASAR) has been demonstrated as a promising technique to achieve 3-D imaging of earth surface. The common methods used for LASAR imaging are usually based on matched filter (MF) which obeys the traditional Nyquis...
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We consider the following signal recovery problem: given a measurement matrix Φ ∈ Rn×p and a noisy observation vector c ∈ R constructed from c = Φθ∗ + where ∈ R is the noise vector whose entries follow i.i.d. centered sub-Gaussian distribution, how to recover the signal θ∗ if Dθ∗ is sparse under a linear transformation D ∈ Rm×p? One natural method using convex optimization is to solve the follo...
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ژورنال
عنوان ژورنال: Progress In Electromagnetics Research
سال: 2013
ISSN: 1559-8985
DOI: 10.2528/pier13020614