CAJ | 학술논문

在实际应用中，合成孔径雷达( SAR)的回波数据中往往含有饱和数据。针对传统分块自适应( BAQ)算法处理含有饱和成分的数据时存在较大误差的不足，在对SAR实际回波数据分析的基础上，文章对传统BAQ算法进行了改进，并将改进的BAQ算法应用于SAR信号处理系统中。仿真结果表明：对于含有饱和数据的原始回波数据，改进的BAQ算法比传统BAQ算法具有更好的性能，且该算法易于实现，可很好地压缩处理含有饱和成分的SAR回波数据。
재실제응용중，합성공경뢰체( SAR)적회파수거중왕왕함유포화수거。침대전통분괴자괄응( BAQ)산법처리함유포화성분적수거시존재교대오차적불족，재대SAR실제회파수거분석적기출상，문장대전통BAQ산법진행료개진，병장개진적BAQ산법응용우SAR신호처리계통중。방진결과표명：대우함유포화수거적원시회파수거，개진적BAQ산법비전통BAQ산법구유경호적성능，차해산법역우실현，가흔호지압축처리함유포화성분적SAR회파수거。
In practical applications, synthetic aperture radar ( SAR) raw data always includes saturation data. Howev-er, the data processed by the traditional block adaptive quantization ( BAQ) algorithm has more errors. In view of the defi-ciency, based on analyzing the characteristics of SAR raw data, an improved BAQ algorithm is proposed and applied to SAR system in this paper. In the processing for raw data with saturation data, the simulation results show that the improved algo-rithm is superior to the traditional BAQ algorithm. At the same time, the improved algorithm can be implemented easily. So it can be well applied to the compression of SAR raw data with saturation data.