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机构地区:[1]西安电子科技大学雷达重点实验室,西安710071
出 处:《电子与信息学报》2005年第3期454-457,共4页Journal of Electronics & Information Technology
基 金:"十五"预研基金(413070502)资助课题
摘 要:波数域算法(简称ω-k算法)可以很好地解决距离向和方位向的耦合问题,从而有能力处理宽波束SAR数据。由于传统的ω-k算法无法跟运动补偿方法结合起来,导致图像效果往往比较差。该文对传统ω-k算法进行了一些改进,通过反卷积的办法将距离徙动校正和方位压缩处理分开进行,并将子孔径和自聚焦办法运用到ω-k算法中去,从而使ω-k算法更具有实用性。最后用改进的ω-k算法对P波段宽波束SAR的实测数据进行处理,图像质量明显提高。The wavenumber domain algorithm (ω-k algorithm for short) has the ability to process wide-beam SAR data because it has the ability to handle the range-azimuth coupling correctly. However, because the traditional ω-k algorithm can not integrate with the motion compensation approach, it sometimes results in bad image. Some improvement of the traditional ω-k algorithm is presented in this paper, that is, the deconvolution is used to separate the range migration correction from the azimuth compression, and then the sub-aperture and autofocus approach are applied to the ω-k algorithm, which makes the improved ω-k algorithm more practicable. At the end of this paper, a set of P-band wide-beam SAR data is processed by the improved ω-k algorithm, and the resultant image quality is obviously increased.
分 类 号:TN957.5[电子电信—信号与信息处理]
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