J4 ›› 2013, Vol. 40 ›› Issue (3): 50-56.doi: 10.3969/j.issn.1001-2400.2013.03.008

• 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:2011-12-20 出版日期:2013-06-20 发布日期:2013-07-29
  • 通讯作者: 段佳
  • 作者简介:段佳(1989-),女,西安电子科技大学博士研究生,E-mail: bifiduan119@126.com.
  • 基金资助:


Weighted eigenvector method for sparse-aperture ISAR  phase error correction

DUAN Jia;ZHANG Lei;SHENG Jialian;XING Mengdao   

  1. (National Key Lab. of Radar Signal Processing, Xidian Univ., Xi'an  710071, China)
  • Received:2011-12-20 Online:2013-06-20 Published:2013-07-29
  • Contact: DUAN Jia



关键词: 初相校正, 稀疏, 逆合成孔径雷达


The traditional eigenvector method for autofocus can not obtain ideal results in low-SNR (signal-to-noise ratio) cases, because the contribution of the signal in different range bins to the final signal differs greatly. Thus, a weighted eigenvector method for ISAR(inverse synthetic aperture radar) phase error correction is proposed by adding different weights to each range bin according to its SNR. The method can not only deal with normal ISAR signals, but also can handle evenly under-sampled or block sparse, even unevenly sparse data. Finally, actual data processing results confirm the validity of the proposed algorithm.

Key words: phase error correction, sparseness, inverse synthetic aperture radar