J4 ›› 2012, Vol. 39 ›› Issue (6): 55-60.doi: 10.3969/j.issn.1001-2400.2012.06.009

• 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:2011-08-03 出版日期:2012-12-20 发布日期:2013-01-17
  • 通讯作者: 盛佳恋
  • 作者简介:盛佳恋(1987-),女,西安电子科技大学博士研究生,E-mail: s.jialian@gmail.com.
  • 基金资助:


Super-resolution ISAR imaging method with sparse statistics

SHENG Jialian;ZHANG Lei;XING Mengdao;BAO Zheng   

  1. (National Key Lab. of Radar Signal Processing, Xidian Univ., Xi'an  710071, China)
  • Received:2011-08-03 Online:2012-12-20 Published:2013-01-17
  • Contact: SHENG Jialian



关键词: 逆合成孔径雷达, 稀疏, 统计模型, 超分辨


To improve the resolution of inverse synthetic aperture radar (ISAR) imagery with short observation, this paper proposes a super-resolution method for ISAR imaging with sparse statistics. Combined with strong sparsity of ISAR images, the imaging process is approximately modeled by statistical probability distributions. By maximum posterior probability and the Bayesian estimation approaches, the close form of sparsity control parameters is deduced, and the optimal image is solved by the conjugate gradient method. Also, with the CFAR (constant false alarm rate) and bandwidth extrapolation technique involved in a stage-by-stage procedure, the robustness of parameter estimation and imaging is improved. Real-data experiments validate the superiority of the proposed method.

Key words: inverse synthetic aperture radar, sparseness, statistical model, super resolution


  • TN957.52