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

Yuta SASAKI  Fang SHANG  Shouhei KIDERA  Tetsuo KIRIMOTO  

Publication
IEICE TRANSACTIONS on Communications   Vol.E100-B   No.8   pp.1498-1506
Publication Date: 2017/08/01
Online ISSN: 1745-1345
DOI: 10.1587/transcom.2016EBP3327
Type of Manuscript: PAPER
Category: Sensing
Keyword: 
UWB radar,  range points migration,  multi-static UWB radar,  millimeter wave radar,  short range sensing,  

Full Text: PDF(2.1MB)>>
Buy this Article




Summary: 
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.