基于FFTBAQ的SAR原始数据压缩新算法

Journal of Systems Engineering and Electronics ›› 2009, Vol. 31 ›› Issue (11): 2613-2617 .

基于FFTBAQ的SAR原始数据压缩新算法

宋鸿梅1,2,王岩飞1,潘志刚1

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

出版日期:2009-11-26 发布日期:2010-01-03

Improved FFTbased algorithm for SAR raw data compression

SONG Hong-mei,WANG Yan-fei,PAN Zhi-gang

1. Inst. of Electronics, Chinese Academy of Sciences, Beijing 100190, China；2. Graduate Univ. of Chinese Academy of Sciences, Beijing 100049, China

Online:2009-11-26 Published:2010-01-03

摘要/Abstract

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。

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 energy distributing of SAR raw data after two dimensions frequency transform is analyzed, and optimum bits allocation 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.

宋鸿梅1,2,王岩飞1,潘志刚1. 基于FFTBAQ的SAR原始数据压缩新算法[J]. Journal of Systems Engineering and Electronics, 2009, 31(11): 2613-2617 .

SONG Hong-mei,WANG Yan-fei,PAN Zhi-gang. Improved FFTbased algorithm for SAR raw data compression[J]. Journal of Systems Engineering and Electronics, 2009, 31(11): 2613-2617 .