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A fast method for compressive sensing SAR imaging via nonlinear chirp scaling

机译:一种通过非线性线性调频缩放压缩感知SAR成像的快速方法

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A novel SAR imaging approach has been exposed in this paper. It is based on CS theory which aims at getting low sidelobes image with Shannon-Nyquist samplings. Deviated from classical CS-imaging methods in large squint mode, this new method does RCMC on the echo first through nonlinear chirp scaling, and then carries out CS compression in both range and azimuth. This approach depresses the mistakes of RCMC brought by CS algorithm, and relieves the calculating pressures.
机译:本文介绍了一种新颖的SAR成像方法。它基于CS理论,旨在通过Shannon-Nyquist采样获得低旁瓣图像。与大斜视模式下的经典CS成像方法不同,此新方法首先通过非线性线性调频缩放对回波进行RCMC,然后在范围和方位上都进行CS压缩。该方法解决了CS算法带来的RCMC错误,减轻了计算压力。

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