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| 星载SAR原始数据实用化数据域压缩算法量化与饱和误差解析 | |
| 引用本文： | 华斌,祁海明,李信,张平.星载SAR原始数据实用化数据域压缩算法量化与饱和误差解析[J].中国科学院研究生院学报,2011,28(1):94-100. |
| 作者姓名： | 华斌 祁海明 李信 张平 |
| 作者单位： | 1. 中国科学院电子学研究所,北京100190;微波成像技术国家重点实验室,北京100190;中国科学院研究生院,北京100049 2. 中国科学院电子学研究所,北京100190;微波成像技术国家重点实验室,北京100190 3. 中国科学院电子学研究所,北京,100190 |
| 基金项目： | 中国科学院优秀博士论文院长奖专项基金(0813260042)和微波成像技术国家重点实验室基金(9140C1903031003)资助 |
| 摘 要： | 给出了实用化压缩算法(分块自适应算法及截取高位算法)数据域量化与饱和误差的解析表达式,建立了实用化压缩算法数据域信噪比与回波信号标准差之间的关系.最后,将理论推导结果与数据仿真结果、实测数据结果相比较,验证了理论推导结果的正确性,该方法为星载SAR原始数据压缩比选取提供了理论指导. |
| 关 键 词： | 合成孔径雷达 原始数据压缩 分块自适应量化 量化误差 饱和误差 |
| 收稿时间： | 2010-03-10 |
| 修稿时间： | 2010-05-12 |
Analysis of the quantization and saturation error for space-borne SAR raw data compression algorithm in data domain |
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| HUA Bin,QI Hai-Ming,LI Xin,ZHANG Ping.Analysis of the quantization and saturation error for space-borne SAR raw data compression algorithm in data domain[J].Journal of the Graduate School of the Chinese Academy of Sciences,2011,28(1):94-100. | |
| Authors: | HUA Bin QI Hai-Ming LI Xin ZHANG Ping |
| Institution: | 1. Institute of Electronics, Chinese Academy of Sciences, Beijing 100190,China; 2. National Key Laboratory of Microwave Imaging Technology, Beijing 100190, China; 3. Graduate University, Chinese Academy of Sciences, Beijing 100049,China |
| Abstract: | In this paper, the analytical formula of the quantization and saturation error induced by block adaptive quantization (BAQ) and Interception of High (IH) compression algorithms are derived. Moreover, the relationship between the standard deviation of input echo signal (SDIS) and the Signal-to-noise ratio (SNR) of these two compression algorithms is given. Finally, our method is verified by using simulated SAR raw data and real data, and is shown to be a good criterion for choosing SAR raw data compression ratio. |
| Keywords: | synthetic aperture radar (SAR) raw data compression block adaptive quantization (BAQ) quantization error saturation error |
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