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Adaptive Frequency Domain Algorithm for SAR Raw Data Compression Based on Two Dimensional Look-Up Table

机译:基于二维查找表的SAR原始数据压缩的自适应频域算法

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According to Doppler centroid shift and Doppler spectrum split, this paper proposes an adaptive Doppler Nonuniform Bit Allocation (NBA) approach based on one dimensional Look-Up Table (LUT). Combined with one dimensional quantization and coding LUT, NBA approach forms the adaptive compression algorithm in frequency domain. Meanwhile, this paper deduces the analytic function of the frequency spectrum of the echoes in range and provides with the general scheme for its NBA. Numerical experiments results based on real SAR data show that new algorithm has higher SNR and better robustness than FFT-BAQ. Theoretical analysis indicates that the calculation load of new algorithm is small so it can be easily applied in engineering.
机译:根据多普勒质心移位和多普勒频谱分裂,本文提出了一种基于一维查找表(LUT)的自适应多普勒不均匀位分配(NBA)方法。结合一维量化和编码LUT,NBA方法在频域中形成自适应压缩算法。同时,本文推出了范围内回波频谱的分析功能,并提供了其NBA的一般方案。基于真实SAR数据的数值实验结果表明,新算法具有比FFT-BAQ更高的SNR和更好的鲁棒性。理论分析表明,新算法的计算负载很小,因此它可以很容易地应用于工程中。

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