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

Analysis of the quantization and saturation error for space-borne SAR raw data compression algorithm in data domain

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.

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.