吉首大学学报(自然科学版)

• 信息与计算机 • 上一篇    下一篇

斜视合成孔径雷达的稀疏降采样数据成像方法

陈一畅,胡静   

  1. (1.空军工程大学信息与导航学院,陕西 西安 710077;2.吉首大学商学院,湖南 吉首 416000;)
  • 出版日期:2016-11-25 发布日期:2016-12-13
  • 作者简介:陈一畅(1988—),男,湖南永定人,空军工程大学博士生,主要从事雷达信号处理研究.

Imaging Method for Squint SAR with Sparse Down Sampling Data

CHEN Yichang,HU Jing   

  1. (1.School of Information and Navigation,AFEU,Xi′an 710077,China;2.College of Business,Jishou University,Jishou 416000,Hunan China)
  • Online:2016-11-25 Published:2016-12-13

摘要:

针对合成孔径雷达数据量庞大,不便于存储传输等问题,结合经典的距离多普勒成像算法与压缩感知理论,提出一种稀疏降采样斜视SAR数据的成像方法.在方位向上用随机降采样的方式录取数据,对所得数据进行相应的距离徙动校正和距离脉压,随后将方位向脉压建模为典型的压缩感知模型,用平滑l0算法重构出二维SAR场景.利用该方法能有效地减少稀疏场景的SAR回波数据量,仅采用传统数据量的25%,即可获得清晰的二维成像结果.

关键词: 斜视合成孔径雷达, 距离-多普勒算法, 压缩感知, 降采样

Abstract:

A novel squint synthetic aperture radar imaging method with down sampling echo is proposed to solve the problem of huge SAR data transmission and storage.In this method,the echo is under-sampling in the azimuth,and the migration correction and range pulse compression are firstly performed by traditional Rang-Doppler algorithm,and then the azimuth focusing is completed by smoothed l0 algorithm according compressed sensing theory.This method can effectively reduce the amount of SAR echo data in sparse scenes,and obtain high resolution 2D imaging results with only 25% of the traditional data size.

Key words: squint synthetic aperture radar, range-Doppler algorithm, compressed sensing, down sampling

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