論文

査読有り
2010年4月

Accurate UWB Radar Three-Dimensional Imaging Algorithm for a Complex Boundary Without Range Point Connections

IEEE Transactions on Geoscience and Remote Sensing
  • Shouhei Kidera
  • ,
  • Takuya Sakamoto
  • ,
  • Toru Sato

48
4
開始ページ
1993
終了ページ
2004
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1109/TGRS.2009.2036909
出版者・発行元
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

Ultrawide-band pulse radars have immeasurable potential for a high-range-resolution imaging in the near field and can be used for noncontact measurement of industrial products with specular or precision surfaces, such as reflector antenna or aircraft fuselage, or identifying and locating the human body in security systems. In our previous work, we developed a stable and high-speed 3-D imaging algorithm, Envelope, which is based on the principle that a target boundary can be expressed as inner or outer envelopes of spheres, which are determined using antenna location and observed ranges. Although Envelope produces a high-resolution image for a simple shape target that may include edges, it requires an exact connection for observed ranges to maintain the imaging quality. For complex shapes or multiple targets, this connection becomes a difficult task because each antenna receives multiple echoes from many scattering points on the target surface. This paper proposes a novel imaging algorithm without range point connection to accomplish high-quality and flexible 3-D imaging for various target shapes. The algorithm uses an accurate estimation for the direction of arrival using signal amplitudes and realizes direct mapping from observed ranges to target points. Several comparative studies of conventional algorithms clarify that our proposed method accomplishes accurate and reliable 3-D imaging even for complex or multiple boundaries.

リンク情報
DOI
https://doi.org/10.1109/TGRS.2009.2036909
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000276015200009&DestApp=WOS_CPL
ID情報
  • DOI : 10.1109/TGRS.2009.2036909
  • ISSN : 0196-2892
  • Web of Science ID : WOS:000276015200009

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