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Volume 31 Issue 3
Dec.  2010
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Qi Hai-ming, Yu Wei-dong. Adaptive Frequency Domain Algorithm for SAR Raw Data Compression Based on Two Dimensions Look-up Table[J]. Journal of Electronics & Information Technology, 2009, 31(3): 592-595. doi: 10.3724/SP.J.1146.2007.01664
Citation: Qi Hai-ming, Yu Wei-dong. Adaptive Frequency Domain Algorithm for SAR Raw Data Compression Based on Two Dimensions Look-up Table[J]. Journal of Electronics & Information Technology, 2009, 31(3): 592-595. doi: 10.3724/SP.J.1146.2007.01664

Adaptive Frequency Domain Algorithm for SAR Raw Data Compression Based on Two Dimensions Look-up Table

doi: 10.3724/SP.J.1146.2007.01664
  • Received Date: 2007-10-23
  • Rev Recd Date: 2008-07-17
  • Publish Date: 2009-03-19
  • According to Doppler centroid shift and Doppler spectrum split, this paper proposes an adaptive Doppler nonuniform bit allocation approach based on one dimension Look-Up Table (LUT). Combined with one dimension quantization and coding LUT this approach forms the adaptive compression algorithm in frequency domain. Meanwhile, this paper deduces the spectrum analytic function of the echo in range and provides with the general scheme for nonuniform compression ratio allocation. Numerical experiments results based on real SAR data show that new algorithm has higher SNR and better robustness than traditional frequency domain algorithms. Theoretical analysis shows that the calculation load is small and can be easily applied in engineering.
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  • Kwok R and Johnson W T K. Block adaptive quantization ofMagellan SAR data[J].IEEE Trans. on Geosciences RemoteSensing.1989, 27(4):375-383[2]Benz U, Strodl K, and Moreria A. A comparison of severalalgorithms for SAR raw data compression. IEEE Trans. onGeosciences Remote Sensing, 1994, 33(5): 1266-1276.[3]Kuduvalli G, Dutkiewicz M, and Cumming I. Syntheticaperture radar signal data compression using block adaptivequantization. in GSFC Space Earth Sci. Data CompressionConf. Goddard Space Flight Center, USA, 1994: 43-58.[4]Fischer J, Benz U, and Moreira A. Efficient SAR raw datacompression in frequency domain. in proceedings IGARSS,Wessling, Germany, July 1999: 2261-2263.[5]杨云志, 黄顺吉, 王建国. SAR原始数据的频域量化编码方法研究. 系统工程与电子技术, 2005, 27(12): 2107-2111.Yang Yun-zhi, Huang Shun-ji, and Wang Jian-guo. Frequencyregion quantization coding method researching of SAR rawdata. System Engineering and Electronics, 2005, 27(12):2107-2111.[6]祁海明, 禹卫东, 陈曦. 基于方位向滑窗处理的极坐标格式SAR原始数据频域压缩算法. 数据采集与处理, 2008, 23(3):300-305.Qi Hai-ming, Yu Wei-dong, and Chen Xi. Frequency domainamplitude phase algorithm for SAR raw data compressionbased on azimuth sliding window processing. Journal of DataAcquisition Processing, 2008, 23(3): 300-305.[7]李刚. 合成孔径雷达运动目标检测、定位与成像研究. [博士论文], 北京: 清华大学, 2007.[8]许稼, 李骏, 彭应宁等. 合成孔径雷达多普勒频谱的盲分裂解法. 电子学报, 2005, 33(6): 974-976.Xu Jia, Li Jun, and Peng Ying-ning, et al.. Blind splittingsolution of Doppler spectrum for synthetic aperture radar.Acta Electronica Sinica, 2005, 33(6): 974-976.[9]潘志刚. 低比特率合成孔径雷达数据压缩算法研究. [博士论文], 北京: 中国科学院电子学研究所, 2006.[10]祁海明. 星载合成孔径雷达原始数据压缩技术研究. [博士论文], 北京: 中国科学院电子学研究所, 2008.[11]张澄波. 综合孔径雷达-原理、系统分析与应用. 北京: 科学出版社, 1989, 第4章.
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