J4 ›› 2014, Vol. 41 ›› Issue (6): 12-17+64.doi: 10.3969/j.issn.1001-2400.2014.06.003

• 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:2013-11-07 出版日期:2014-12-20 发布日期:2015-01-19
  • 通讯作者: 陈倩倩
  • 作者简介:陈倩倩(1984-),女,西安电子科技大学博士研究生,E-mail:chenqian1196@256.com.
  • 基金资助:


Cross-range scaling for ISAR imaging within short CPI and low SNR

CHEN Qianqian;XING Mengdao;LI Haolin;BAO Zheng   

  1.  (National Key Lab. of Radar Signal Processing, Xidian Univ., Xi'an  710071, China)
  • Received:2013-11-07 Online:2014-12-20 Published:2015-01-19
  • Contact: CHEN Qianqian



关键词: 逆合成孔径雷达, 低信噪比, 短相干处理时间, 横向定标, 加权压缩感知


This paper proposes a new algorithm for solving cross-range scaling for the inverse synthetic aperture radar(ISAR) imaging during a short Coherent Processing Interval (CPI) under a low Signal Noise Ratio (SNR). Based on the sparsity characteristic of the ISAR image, a Weighted Compressive Sensing (WCS) procedure is applied to generate high-resolution images, which can encourage signal components while suppressing noise. Then on the basis of the characteristics of 2-D Fourier transform (2-D FFT) and polar mapping, the Rotation Angle Velocity (RAV) initial estimation is realized by the correlation between two polar images. Finally, the maximum correlation position is found by using WCS, improving the estimation precision and efficiency of RAV. The rescaled ISAR image can be implemented. Both simulated and real-measured data confirm the feasibility and effectiveness of the proposed algorithm.

Key words: ISAR, low SNR, short CPI, cross-range scaling, WCS