J4 ›› 2010, Vol. 37 ›› Issue (6): 1022-1026+1110.doi: 10.3969/j.issn.1001-2400.2010.06.008

• 研究论文 • 上一篇    下一篇



  1. (西安电子科技大学 雷达信号处理国家重点实验室,陕西 西安  710071)
  • 收稿日期:2009-11-24 出版日期:2010-12-20 发布日期:2011-01-22
  • 通讯作者: 全英汇
  • 作者简介:全英汇(1981-),男,讲师,西安电子科技大学博士研究生,E-mail: quanyinghui@126.com.
  • 基金资助:


Method for achieving high resolution ISAR imaging with short aperture data via compressed sensing

QUAN Ying-hui;ZHANG Lei;LIU Ya-bo;ZHANG Long;BAO Zheng   

  1. (National Lab. of Radar Signal Processing, Xidian Univ., Xi'an  710071, China)
  • Received:2009-11-24 Online:2010-12-20 Published:2011-01-22
  • Contact: QUAN Ying-hui



关键词: 逆合成孔径雷达, 压缩感知, 稀疏信号重构


Compressed sensing suggests that exact recovery of a sparse signal is possible from very limited measurements. Based on this idea, a new method for high-resolution inversed synthetic aperture radar (ISAR) imaging with short aperture data is presented. This approach converts ISAR imaging into the problem of reconstructing the sparse signal with an orthogonal basis, then compressed sensing is applied to reconstruct the high resolution image optimally. And a conceptive upper bound of resolution is derived in detail. Experiments using real ISAR data of ship and plane are performed, whose results confirm the validity of the proposal in high resolution ISAR imaging with limited data.

Key words: inverse synthetic aperture radar, compressed sensing, sparse signal reconstruction