This paper analyzed the algorithm of compressing synthetic aperture radar raw data using wavelet transform block adaptive quantization（WT-BAQ）.By using a real SAR raw data

compression and decompression are performed respectively.The quality parameters in data and image domain are achieved and the final SAR images are obtained.The comparison of quality parameters is made with block adaptive quantization（BAQ）

block adaptive vector quantization（BAVQ） and wavelet packets transform block adaptive quantization（WPT-BAQ）.The experiments manifest that with the same bit rate

SQNR and SDNR after using the algorithm proposed in this paper are higher than that of other three algorithms mentioned above.The WT-BAQ algorithm has practical value in some degree.In the end

conclusions are drawn and possible future works are given.