Summary

International Symposium on Antennas and Propagation

2008

Session Number:4B13

Session:

Number:4B13-1

An Experimental Study of High-Resolution 3-D Imaging Algorithm with Envelope of Modified Spheres for UWB Though-the-Wall Radars

Shouhei KIDERA,  Takuya SAKAMOTO,  Toru SATO,  

pp.-

Publication Date:2008/10/27

Online ISSN:2188-5079

DOI:10.34385/proc.35.4B13-1

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Summary:
Through-the-wall radar techniques have been highly developed for various applications, such as human detection buried under collapsed walls in disaster areas. These applications require a high-resolution imaging to detect the target shapes. While various through-the-wall radar algorithms have been proposed, they require intensive computation with SAR (Synthetic Aperture Radar) or other migration algorithms [1]. Contrarily, the real-time 3-D imaging algorithm, SEABED has been proposed [2]. This is a non-parametric 3-D imaging based on a reversible transform between time delay and target boundary. Furthermore, the extension study for SEABED to through-the-wall imaging has been reported [3]. However, these methods suffer from the distortions due to the range shifts of wall penetrations. In addition, SEABED is sensitive to small range errors, because it uses a derivative of the observed ranges. To obtain a stable image, the high-speed 3-D imaging algorithm, Envelope, has been developed, which does not use derivative operations [4]. For through-the-wall imaging, however, the observed range shift causes an error also for the Envelope imaging. As a solution to this problem, this paper proposes a high-resolution and high-speed 3-D imaging algorithm by modifying the original Envelope method, that considers the bent paths caused by the wall penetrations. In addition, this method can be combined with SOC (Spectrum Offset Correction) technique [4], that directly compensates the range shift due to scattered waveform deformation. The investigations with a numerical simulation and experiment verify that our algorithm produces a high-resolution 3-D image even for the through-the-wall imaging.