Advanced Search
Volume 37 Issue 2
Feb.  2015
Turn off MathJax
Article Contents
Zhang Xiao-Ling, Chen Ming-Ling, Liao Ke-Fei, Shi Jun, Wei Shun-Jun. Research on Methods of Targets RCS Near-field-to-far-field Transformation Based on 3-D SAR Imaging[J]. Journal of Electronics & Information Technology, 2015, 37(2): 297-302. doi: 10.11999/JEIT140535
Citation: Zhang Xiao-Ling, Chen Ming-Ling, Liao Ke-Fei, Shi Jun, Wei Shun-Jun. Research on Methods of Targets RCS Near-field-to-far-field Transformation Based on 3-D SAR Imaging[J]. Journal of Electronics & Information Technology, 2015, 37(2): 297-302. doi: 10.11999/JEIT140535

Research on Methods of Targets RCS Near-field-to-far-field Transformation Based on 3-D SAR Imaging

doi: 10.11999/JEIT140535
  • Received Date: 2014-04-24
  • Rev Recd Date: 2014-09-15
  • Publish Date: 2015-02-19
  • Microwave 3-D imaging technique can accurately separate and extract the attractive targets from the background noise. So it can be utilized to analyze and study the ElectroMagnetic (EM) scattering characteristics of the outfield targets. Thus researching the EM scattering characteristics of targets from the perspective of 3-D SAR imaging is becoming an emerging hot field. Based on the background above, firstly, the near field 3-D imaging process in wave-number domain is deduced from the Stratton-Chu integral equation and the physical meaning of 3-D SAR imaging is explained. Then, the principle of targets Radar Cross Section (RCS) Near-Field-to-Far-Field Transformation (NFFFT) based on 3-D SAR imaging is elaborated and the method of scattering center extraction from 3-D SAR image is introduced and the algorithm of targets RCS NFFFT based on 3-D SAR imaging technique is presented. Finally, though some experiments using the FEKO software, five scattering points observing angle characteristic curve and frequency characteristic curve are gotten. Through the comparative experiments with the ideal situation, the effectiveness of the RCS NFFFT algorithm is validated.
  • 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 Metrics

    Article views (1529) PDF downloads(1072) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return