An Algorithm for SAR Raw Data Compression after Range Focusing
一种距离聚焦后的SAR原始数据压缩算法

It is difficult to directly compress Synthetic Aperture Radar (SAR) raw data for its low relativity. In this paper, a new algorithm is put forward. Range focusing is imposed to SAR raw data, which makes it have comparative high relativity, then a vector linear prediction is performed along the azimuth direction, and block adaptive quantization is used to the prediction error series. By using a real SAR raw data, compression and decompression are made respectively. The SQNR and SDNR are achieved. The images correspond to the three algorithms are gained. The experiments manifest that with same bit rate, SQNR and SDNR after using the algorithm proposed in this paper surpass that of BAQ. The calculation in this paper is far less than that of compression method after range focusing advised in corresponding reference.