基于短时FRFT的SAR自聚焦算法
首发时间:2012-02-08
摘要:根据同一距离门的散射点具有相同形式的相位历程但包含不同的线性相位分量的性质,利用短时分数阶傅立叶变换在时频联合域进行散射点谱图的提取,从而获取单个散射点的相位误差历程。与传统的相位梯度自聚焦(PGA)算法相比,该算法降低了对场景孤立特显点的要求,提高了算法的稳健性。
关键词: 合成孔径雷达(SAR) 自聚焦 短时分数阶傅立叶变换(STFRFT) 谱图
For information in English, please click here
SAR Autofocus Based on Short-Time FRFT
Abstract:Target points located at the same range bin have identical phase history, while each target point contains a different linear phase component corresponding to the azimuth position. According to this property the short-time fractional Fourier transform is utilized to extract the spectrogram in the time frequency domain, so as to obtain a pure phase error history. The method performs well even using the range bin of multiple prominent scatters in the estimation. Compared to the PGA, the method breaks through the restrictions of the isolated prominent point and results in a better performance.
Keywords: Synthetic Aperture Radar (SAR) Autofocus Short-Time Fractional Fourier Transform (STFRFT) Spectrogram
论文图表:
引用
No.****
同行评议
共计0人参与
勘误表
基于短时FRFT的SAR自聚焦算法
评论
全部评论0/1000