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基于FFT BAQ的SAR原始数据压缩新算法
引用本文:宋鸿梅,王岩飞,潘志刚.基于FFT BAQ的SAR原始数据压缩新算法[J].系统工程与电子技术,2009,31(11):2613-2617.
作者姓名:宋鸿梅  王岩飞  潘志刚
作者单位:1. 中国科学院电子学研究所, 北京 100190; 2. 中国科学院研究生院, 北京 100049
摘    要:针对合成孔径雷达(synthetic aperture radar, SAR)原始数据频域压缩运算中基于快速傅里叶变换的分块自适应量化(fast Fourier transform based block adaptive quantization, FFT BAQ)算法实现复杂的问题,分析了SAR原始数据二维傅里叶变换后数据的能量分布情况。从香农率失真理论出发,利用信源微分熵确定最优的量化比特分配,提出了一种改进的FFT BAQ算法。分析了改进算法的复杂度,并与传统的FFT BAQ算法和BAQ算法做了相应的比较实验。实验表明,改进算法在保证原压缩性能的基础上降低了FFT BAQ算法的复杂度和对硬件的要求。

关 键 词:合成孔径雷达  原始数据压缩  FFT  BAQ算法  比特分配

Improved FFT-based algorithm for SAR raw data compression
SONG Hong-mei,WANG Yan-fei,PAN Zhi-gang.Improved FFT-based algorithm for SAR raw data compression[J].System Engineering and Electronics,2009,31(11):2613-2617.
Authors:SONG Hong-mei  WANG Yan-fei  PAN Zhi-gang
Institution:1. Inst. of Electronics, Chinese Academy of Sciences, Beijing 100190, China;2. Graduate Univ. of Chinese Academy of Sciences, Beijing 100049, China
Abstract:In order to solve the difficult implementation of the synthetic aperture radar (SAR) raw data compression algorithm based on fast Fourier transform-based block adaptive quantization(FFT-BAQ), the ener-gy distributing of SAR raw data after two dimensions frequency transform is analyzed, and optimum bits alloca-tion scheme is designed based on Shannon rate-distortion theory and information resource differential entropy. An improved FFT-based algorithm for SAR raw data compression is proposed. The complex level of this improved algorithm is analyzed, and the analyzed result indicates that the improved algorithm decreases the complex level and hardware requirements and keeps the excellent performance compared with the original FFT-BAQ.
Keywords:synthetic aperture radar  raw data compression  FFT-BAQ algorithm  bit allocation
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