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A robust autofocus algorithm for the 3-D target feature extraction in curvilinear SAR

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4 Author(s)
Zhigang Su ; Signal Process. & Commun. Res. Lab., Civil Aviation Univ. of China, Tianjin, China ; Renbiao Wu ; Jiaxue Liu ; Jie Liu

In this paper, a new autofocus approach is proposed to compensate for the aperture and phase errors in curvilinear synthetic aperture radar (referred to as CLSAR) and to extract the three-dimensional (3-D) target features. Numerical examples are provided to illustrate the performance of the proposed algorithm

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Radar, 2001 CIE International Conference on, Proceedings

Date of Conference: