SAR原始数据压缩的自适应比特分配BAQ算法

doi:10.7523/j.issn.2095-6134.2017.01.014

中国科学院大学学报 ›› 2017, Vol. 34 ›› Issue (1): 106-111.DOI: 10.7523/j.issn.2095-6134.2017.01.014

SAR原始数据压缩的自适应比特分配BAQ算法

潘志刚, 王小龙, 李志勇

中国科学院电子学研究所, 北京 100190

收稿日期:2016-03-16 修回日期:2016-05-16 发布日期:2017-01-15
通讯作者: 潘志刚,E-mail:zgpan@mail.ie.ac.cn
基金资助:
国家自然科学基金（61101201）资助

An improved block adaptive quantization algorithm based on adaptive bit-allocation for SAR raw data compression

PAN Zhigang, WANG Xiaolong, LI Zhiyong

Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China

Received:2016-03-16 Revised:2016-05-16 Published:2017-01-15

摘要/Abstract

摘要：

针对SAR原始数据压缩，在传统BAQ算法基础上，提出一种分块量化比特率可变的BAQ算法，在保持各分块平均比特率固定的前提下，针对不同的数据分块自适应选择量化比特率。与已有的改进型BAQ算法相比，比特率选择机制基于分块数据的信号功率大小，不需要成像区域的先验知识。新方法能够明显提高数据量化信噪比并降低SAR复图像相位误差，而运算复杂度增加很小，并可以实现分数比特率，适应于不同通信带宽的数据传输需要，增加了SAR原始数据实时传输的灵活性。

关键词: 分块自适应量化, 数据压缩, 比特分配, 合成孔径雷达

Abstract:

In this study, the variable bit rate BAQ algorithm is proposed based on adaptive rate allocation among blocks of SAR raw data. Compared with FDBAQ and SA-BAQ, the proposed rate selection scheme is completely automatic, without the optimization process using priori data. Compared with the traditional BAQ algorithm, the proposed method evidently improves signal-to-noise ratio (SNR) and decreases the phase error of SAR image at the expense of only slight increase of complexity. Besides, the new method realizes fraction bit rate, which increases the flexibility of the compression application for SAR raw data.

Key words: block-adaptive quantization, data compression, bit allocation, synthetic aperture radar

中图分类号:

TN958

潘志刚, 王小龙, 李志勇. SAR原始数据压缩的自适应比特分配BAQ算法[J]. 中国科学院大学学报, 2017, 34(1): 106-111.

PAN Zhigang, WANG Xiaolong, LI Zhiyong. An improved block adaptive quantization algorithm based on adaptive bit-allocation for SAR raw data compression[J]. , 2017, 34(1): 106-111.

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SAR原始数据压缩的自适应比特分配BAQ算法

An improved block adaptive quantization algorithm based on adaptive bit-allocation for SAR raw data compression

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