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Adaptive Frequency Domain Algorithm for SAR Raw Data Compression Based on Two Dimensions Look-up Table
基于二维查找表结构的SAR原始数据自适应频域压缩算法

Keywords: Synthetic Aperture Radar (SAR),Raw data,Compression,Adaptive,Spectrum,Robustness
合成孔径雷达
,原始数据,压缩,自适应,频谱,鲁棒性

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Abstract:

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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