A Method for Correcting Saturation Effect in SAR Raw Data Based on Dynamic Decoding

Caused by the limited quantization dynamic range of the spaceborne SAR, the echo saturation phenomenon happens between timesduring spaceborne SAR data acquiring. In this paper, saturation correction methods based on dynamic decoding are proposed for uniform quantization and Block Adaptive Quantization (BAQ), which are two of the most commonly used quantization method in spaceborne SAR. The dynamic decoding methods can alleviate the image power loss caused by saturation, improve the radiation precision, and enhance the image signal-to-noise ratio. The simulation results validate the effectiveness of the proposed methods.