Analysis of the Quantization and Saturation Error for Space-borne SAR Raw Data Compression Algorithm in Data Domain
The quantization and saturation error always exist in Space-borne SAR raw data compression process. The explicit formula on quantization and saturation error was not found in previous literatures, though much study has been executed. The analytical formulas of the error of quantization and saturation induced by Block Adaptive Quantization (BAQ) and Interception of High (IH) algorithms are deduced in this paper. The relationship between the standard deviation of input echo signal (SDIS) and the Signal-to-noise ratio (SNR) of these two algorithms is also given. Finally, the simulation test based on simulated SAR raw data and real data is executed to verify the work in this paper. The result of simulation test shows validity of our work which can provide a good criterion for choosing SAR raw data compression ratio parameter in engineering practice.
space-borne synthetic aperture radar (spaceborne SAR) raw data compression block adaptive quantization (BAQ) quantization error saturation error
Yuan Xin-Zhe Hua-Bin
National Satellite Ocean Application Service (NSOAS) Beijing, China Institute of Electronics, Chinese Academy of Sciences Beijing, China
国际会议
太原
英文
577-580
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）