合成孔径雷达原始数据幅相压缩算法

AMPLITUDE AND PHASE COMPRESSION ALGORITHM OF SAR RAW DATA

针对现代合成孔径雷达(SAR)对相位信息越来越高的要求,该文根据SAR原始数据幅值和相位统计独立的分布特点,提出了对SAR原始数据的幅度和相位分别进行量化的幅度相位压缩算法,即AP(Amplitude ＆ Phase)算法;介绍了算法原理和实现流程图;在实验基础上分析了算法的性能;并将该算法与BAQ算法相比较,验证了AP算法能够很好地保留原始数据的相位信息的特点。

The phase information becomes more and more important in the field of SAR applications. Considering the statistical independent property between phase and amplitude of SAR raw data, a new method is provided that the amplitude and phase of raw data are compressed respectively. In this paper, a flow chart shows the procession of the algorithm. The algorithm performance is analyzed based on real SAR raw data. Finally, the AP(Amplitude & Phase) algorithm is compared with the BAQ algorithm. The performance of the AP algorithm is proved to be fine, especially in terms of the reservation of phase information.