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High-resolution SAR imaging with angular diversity

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4 Author(s)
Larsson, E.G. ; Dept. of Electr. & Comput. Eng., Florida Univ., Gainesville, FL, USA ; Guoqing Liu ; Stoica, Petre ; Jian Li

We propose to use the APES (amplitude and phase estimation) approach for the spectral estimation of gapped data and synthetic aperture radar (SAR) imaging with angular diversity. A relaxation-based algorithm, referred to as GAPES (Gapped-data APES), is proposed, which includes estimating the spectrum via APES and filling in the gaps via a least squares (LS) fitting. For SAR imaging with angular diversity data fusion, we perform one-dimensional (1-D) windowed fast Fourier transforms (FFTs) in range, use the GAPES algorithm to interpolate the gaps in the aperture for each range, apply 1-D inverse FFTs (IFFTs) and dewindow in range, and finally apply the two-dimensional (2-D) APES algorithm to the interpolated matrix to obtain the 2-D SAR image. Numerical results are presented to demonstrate the effectiveness of the proposed algorithm

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Aerospace and Electronic Systems, IEEE Transactions on  (Volume:37 ,  Issue: 4 )