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IMPROVED ALGORITHM FOR STRIPMAP SAR IMAGING

机译:条纹SAR成像的改进算法

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This paper proposes a calibrated method for quasi-broadside side-looking mode SAR imaging with small squint angle and an improved method named as phase alignment algorithm of subaperture reference signal. The calibrated method adopts subaperture spotlighting algorithm of broadside mode to image the real data of quasi-broadside mode SAR, then based on the obtained image the small squint angle is estimated and the calibrated subaperture spotlighting algorithm of squint mode is employed to obtain the final image. The calibrated method can calibrate the abnormal region and obtain the correct image. The phase alignment algorithm of subaperture reference signal adjusts phases of respective subaperture reference signals in order to make them be in phase and constructs a new spotlighting window function for SAR imaging. Theoretical analysis shows that with the same sample data, the improved method can increase SAR imaging area in azimuth dimension. The methods are verified by the results of computer simulation.
机译:提出了一种斜视角度较小的准宽边侧视模式SAR成像的标定方法,以及一种改进的子孔径参考信号相位对准算法。该校准方法采用宽边模式的子孔径聚光算法对准宽边模式SAR的真实数据进行成像,然后基于获得的图像估计斜视角度较小,并使用斜子模式的校准过的子孔径聚光算法获得最终图像。 。校准后的方法可以校准异常区域并获得正确的图像。子孔径参考信号的相位对准算法调整各个子孔径参考信号的相位,以使其同相,并构造用于SAR成像的新的聚光窗函数。理论分析表明,在相同样本数据的情况下,改进后的方法可以在方位角方向上增加SAR成像面积。计算机仿真结果验证了该方法的有效性。

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