BAQ算法在SAR原始数据压缩中的应用研究  

Study on SAR Raw Data Compression Using Block Adaptive Quantization

作　　者：叶少华[1] 沙南生[2] 朱兆达[1] 

机构地区：[1]南京航空航天大学信息科学与技术学院,南京210016 [2]北京航空航天大学自动控制系,北京100084

出　　处：《数据采集与处理》2001年第2期181-184,共4页Journal of Data Acquisition and Processing

基　　金：航空科学基金资助项目

摘　　要：研究了用块自适应量化 (BAQ)算法压缩合成孔径雷达 (SAR)原始数据 ,考虑了实际 SAR数据的非零均值。文中给出了算法在信号域内的信号对量化噪声比 (RSQN)和均方根相位误差这两个性能指标的评估结果 ;并给出了 SAR原始数据经 BAQ处理后的成像结果 ;最后提出了一种可与雷达接收机增益控制电路相结合的、压缩比灵活可变的 BAQ方案 。SAR raw data compression or reduction using block adaptive quantization(BAQ) is studied in detail, and the nonzero mean characteristic of real SAR raw data is taken into account in BAQ processing. The performance evaluation in signal domain of this BAQ algorithm based on signal to quantization noise ratio(SQNR) and RMS phase error is presented and the processed SAR image after encoding/decoding with this BAQ algorithm is given. Finally, a flexible BAQ scheme which allows a selection of compression ratio/image quality trade offs and can be well combined with a gain controller circuit of radar receiver, is also proposed.

关 键 词：原始数据压缩 块自适应量化 合成孔径雷达 BAQ算法 

分 类 号：TN958[电子电信—信号与信息处理] TN957.52[电子电信—信息与通信工程]