SAR原始数据时频域幅相压缩算法  

Time Frequency Domain Amplitude Phase Algorithm for SAR Raw Data Compression

作　　者：宋鸿梅[1,2] 罗倩[1,2,3] 王岩飞[1] 倪崇[1,2] 

机构地区：[1]中国科学院电子学研究所,北京100190 [2]中国科学院研究生院,北京100039 [3]北京信息科技大学,北京100192

出　　处：《现代雷达》2010年第8期44-47,共4页Modern Radar

摘　　要：采用时频分析的方法,结合SAR原始数据非平稳的时频振荡特性,提出了一种基于Gabor变换的SAR原始数据时频域幅相压缩算法。该算法首先对分块原始数据进行幅度-相位转换、2D-RDGT变换以及在时频域内对各频率平面根据方差进行比特分配,然后采用分块自适应量化算法量化各频率平面。实验结果表明,该算法与传统的BAQ算法和已有的幅相算法相比无论在数据域还是在图像域的压缩性能都取得了明显的改善。A compression method for synthetic aperture radar（SAR） raw data is proposed,which is based on time-frequency analysis theory and the nonstationary time-frequency oscillatory properties of SAR raw data.In this method,block raw data is converted into amplitude-phase data,then each block is transformed into time-frequency domain by 2D-RDGT and the desired bits are allocated to each frequency plane,finally each frequency plane is quantized with BAQ.The experiment results show that this method outperforms the existing methods not only in raw data domain but also in SAR image domain.

关 键 词：原始数据压缩 时频分析 GABOR变换 AP算法 自适应比特分配 

分 类 号：TN958[电子电信—信号与信息处理]