Accurate 3-Dimensional Imaging Method by Multi-Static RPM with Range Point Clustering for Short Range UWB Radar

• SASAKI Yuta

  Graduate School of Informatics and Engineering, University of Electro-Communications

• SHANG Fang

  Graduate School of Informatics and Engineering, University of Electro-Communications

• KIDERA Shouhei

  Graduate School of Informatics and Engineering, University of Electro-Communications

• KIRIMOTO Tetsuo

  Graduate School of Informatics and Engineering, University of Electro-Communications

Abstract

Ultra-wideband millimeter wave radars significantly enhance the capabilities of three-dimensional (3D) imaging sensors, making them suitable for short-range surveillance and security purposes. For such applications, developed the range point migration (RPM) method, which achieves highly accurate surface extraction by using a range-point focusing scheme. However, this method is inaccurate and incurs great computation cost for complicated-shape targets with many reflection points, such as the human body. As an essential solution to this problem, we introduce herein a range-point clustering algorithm that exploits, the RPM feature. Results from numerical simulations assuming 140-GHz millimeter wavelength radar verify that the proposed method achieves remarkably accurate 3D imaging without sacrificing computational efficiency.

Journal

• IEICE Transactions on Communications

  IEICE Transactions on Communications E100.B (8), 1498-1506, 2017

  The Institute of Electronics, Information and Communication Engineers

Keywords

• UWB radar
• range points migration
• multi-static UWB radar
• millimeter wave radar
• short range sensing

Details

• CRID: 1390282679350963072
• NII Article ID: 130005875953
• DOI: 10.1587/transcom.2016ebp3327
• ISSN: 17451345
• ISSN: 09168516
• Web Site: https://www.jstage.jst.go.jp/article/transcom/E100.B/8/E100.B_2016EBP3327/_pdf
• Text Lang: en
• Data Source:
  • JaLC
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed