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

• Original Articles • Previous Articles     Next Articles

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 E-mail:yhquan@mail.xidian.edu.cn

Abstract:

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