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基于实测数据的SAR成像方法研究

Research on SAR Imaging Algorithms Based on Real Measured Data

【作者】 刘颖

【导师】 廖桂生;

【作者基本信息】 西安电子科技大学 , 信号与信息处理, 2011, 硕士

【摘要】 合成孔径雷达成像具有全天时、全天候、强透射性、远距离、高分辨率的特点,越来越广泛的应用于军事和民用领域。本文利用仿真数据和实测数据,对几种经典成像处理方法进行验证和比较分析。本文首先简要介绍了合成孔径雷达成像的基本概念和原理,在第三章采用仿真数据验证了两种经典的合成孔径雷达成像算法。在雷达平台非理想情况下,为了改善成像质量,减小多普勒参数的误差,构造合适的参考函数,本文介绍了利用雷达回波数据估计多普勒参数的算法,得到准确的多普勒参数估计值;并结合成像算法中距离徙动校正的处理,得到了聚焦性好的二维场景图像。最后,考虑到实际应用情况,基于机载和星载合成孔径雷达回波实测数据,分别使用传统的成像算法进行处理,并对算法进行了比较分析。

【Abstract】 With features of strong projection of day and night, all weather conditions, long-range and high-resolution imagery, synthetic aperture radar (SAR) imaging has become more and more widely used in military and civilian fields. Simulated and real data are used to compare and analyze the performance of these classical imaging algorithms.At first, some basic concepts and principles of SAR imaging were introduced in this dissertation. Secondly, two classical SAR imaging algorithms with simulated data and real measured data are verified in the dissertation. To improve the image quality and construct appropriate reference functions, Doppler parameters estimation is introduced. Then, with the estimation of Doppler parameters, dimensional scene image with accurate position and high focus performance is obtained after range migration correction for imaging processing. Finally, taking the practical applications of imaging algorithms into account, airborne and spaceborne SAR data are processed with the conventional imaging algorithm. We analyze the experiment results and give conclusions.

  • 【分类号】TN957.52
  • 【被引频次】3
  • 【下载频次】271
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