Range cell migration has a serious impact on the precision of image formation, especially for high-resolution and large-scale\nimaging. To get the full resolution and high quality of the image, the range cell migration correction in the azimuth time domain\nmust be considered. For tackling this problem, this paper presents a novel and efficient range cell migration correction method\nbased on curve fitting and signal processing. By emulating a curve to approximate the range-compressed echo of a strong point,\nthe range location indexes of the strong point along the azimuth direction can be obtained under the least squares criterion.The\nmerits of the proposed method are twofold: (1) the proposed method is robust to the uncertainty of system parameters (strong\ntolerance) under real flights and (2) the generalization of the proposed method is better and can be easily adapted to different\nsynthetic aperture radar (SAR) modes (e.g., monostatic and bistatic). The experimental results on real remote sensing data from\nboth themonostatic and the bistatic SAR demonstrate the effectiveness.The regressed distance curve is completely coincident with\nthe trajectory of strong points of the echo. Finally, the imaging focus results also validate the efficiency of the proposed method.
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