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一种改进的BAQ算法仿真及分析
作者姓名:于巍巍  孙娟  韩涛  王明伟
作者单位:中国空间技术研究院西安分院,西安710000
摘    要: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。

关 键 词:合成孔径雷达  高斯分布  BAQ压缩算法  饱和数据

Simulation and Analysis of an Improved BAQ Algorithm
Authors:YU Wei-wei  SUN Juan  HAN Tao  WANG Ming-wei
Institution:(China Academy of Space Technology (Xi'an) , Xi'an 710000,China)
Abstract: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.
Keywords:SAR  Gauss distribution  BAQ compression algorithm  Saturation data
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