J4 ›› 2012, Vol. 39 ›› Issue (5): 79-84+95.doi: 10.3969/j.issn.1001-2400.2012.05.014

• 研究论文 • 上一篇    下一篇

前视扫描SAR超分辨成像

徐刚;陈倩倩;侯育星;李亚超;邢孟道   

  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:2011-06-27 出版日期:2012-10-20 发布日期:2012-12-13
  • 作者简介:徐刚(1987-),男,西安电子科技大学博士研究生,E-mail: xugang0102@126.com.
  • 基金资助:

    973项目稀疏微波成像信号处理方法研究资助项目(2010CB731903);国家自然科学基金资助项目(61001211);博士点基金资助项目(20090203120013);西安电子科技大学基本科研业务费资助项目(JY10000902014)

Super-resolution imaging of forward-looking scan SAR

XU Gang;CHEN Qianqian;HOU Yuxing;LI Yachao;XING Mengdao   

  1. (National Key Lab. of Radar Signal Processing, Xidian Univ., Xi'an  710071, China)
  • Received:2011-06-27 Online:2012-10-20 Published:2012-12-13

摘要:

提出了一种前视SAR超分辨成像算法.方位维分辨通过安置线性阵列,采用“多发多收”的工作方式,通过波束形成技术得到较窄的发射波束以覆盖有限观测场景,利用目标的稀疏先验信息建立正则化问题,然后通过求解最优化问题实现超分辨成像.该算法在有限阵列长度的条件下可以获得更优的成像结果,有效降低了系统的成本和复杂度.仿真结果验证了该文分析的正确性和算法的有效性.

关键词: 压缩感知, 前视, 超分辨, 正则化

Abstract:

A novel algorithm for super-resolution imaging based on the Compressive sensing theory for forward-looking SAR is proposed. Azimuth resolution is achieved by laying the practical linear array in a Multiple-Input and Multiple-Output mode. A narrow radiation pattern could be obtained using the beam-form technique to observe the small scene, which provides the sparsity prior of the SAR image. Then regularization is constructed by exploiting the sparsity prior and super-resolution could be realized by solving the optimization. Enhanced imaging resolution could be captured with a limited length of array, lowing the cost and complexity of the system. Numeric simulation results confirm the validation of the proposed algorithm.

Key words: forward-looking SAR, super-resolution, compressive sensing, sparsity