Volume 3 Issue 4
Dec.  2014
Turn off MathJax
Article Contents
Wu Yi-rong, Hong Wen, Zhang Bing-chen, Jiang Cheng-long, Zhang Zhe, Zhao Yao. Current Developments of Sparse Microwave Imaging[J]. Journal of Radars, 2014, 3(4): 383-395. doi: 10.3724/SP.J.1300.2014.14105
Citation: Wu Yi-rong, Hong Wen, Zhang Bing-chen, Jiang Cheng-long, Zhang Zhe, Zhao Yao. Current Developments of Sparse Microwave Imaging[J]. Journal of Radars, 2014, 3(4): 383-395. doi: 10.3724/SP.J.1300.2014.14105

Current Developments of Sparse Microwave Imaging

doi: 10.3724/SP.J.1300.2014.14105
  • Received Date: 2014-08-07
  • Rev Recd Date: 2014-08-08
  • Publish Date: 2014-08-28
  • The sparse microwave imaging combines the sparse signal processing theory with radar imaging to obtain new theory, new system, and new methodology of microwave imaging. In this paper, a brief review of fundamental issues in applying sparse signal processing to radar imaging is provided, including sparse representation, measurement matrix construction, unambiguity reconstruction, and so on. The developments of sparse signal processing in microwave imaging are discussed, and the initial airborne experiments on the prototype Synthetic Aperture Radar (SAR) framework with sparse constraints are introduced. The results demonstrate the feasibility and effectiveness of the principle and methodology of sparse microwave imaging. Besides, we also provide an overview of sparse signal processing in various radar applications, including Tomographic SAR (TomoSAR), Inverse SAR (ISAR), Ground Penetrating Radar (GPR) as well.

     

  • loading
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索
    Article views(3599) PDF downloads(7064) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint