Presentation 2008/7/16
A UWB radar imaging algorithm of complex-shaped objects based on global optimization
Hiroshi MATSUMOTO, Takuya SAKAMOTO, Toru SATO,
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Abstract(in English) The SEABED method, which is an fast imaging algorithm with UWB pulse radar systems, makes it possible to image 3-D unknown targets by using a reversible transform between target shape and antenna position besides distance to the target. The antenna position and distance constitutes a curved surface called "quasi-wavefront". We can directly estimate the target shape with this transform if we can extract the quasi-wavefront from observed data. However, in case of observing complex-shaped targets, it is difficult to image them correctly because the received signals interfere each other with the echos from plural reflected points. Conventional studies, which extracted the quasi-wavefront at each antenna position, have a serious fault that the determined values at the interfered region are not accurate. In order to overcome this problem, we propose to estimate all quasi-wavefronts simultaneously from the received signal waveform at all antenna positions by treating the problem as an optimization of a cost function.
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Keyword(in English) radar imaging / SEABED method / complex object / quasi-wavefront / optimization
Paper # A・P2008-52
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Committee AP
Conference Date 2008/7/16(1days)
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Registration To Antennas and Propagation (A・P)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A UWB radar imaging algorithm of complex-shaped objects based on global optimization
Sub Title (in English)
Keyword(1) radar imaging
Keyword(2) SEABED method
Keyword(3) complex object
Keyword(4) quasi-wavefront
Keyword(5) optimization
1st Author's Name Hiroshi MATSUMOTO
1st Author's Affiliation Dept. of Communications and Computer Eng., Kyoto University()
2nd Author's Name Takuya SAKAMOTO
2nd Author's Affiliation Dept. of Communications and Computer Eng., Kyoto University
3rd Author's Name Toru SATO
3rd Author's Affiliation Dept. of Communications and Computer Eng., Kyoto University
Date 2008/7/16
Paper # A・P2008-52
Volume (vol) vol.108
Number (no) 148
Page pp.pp.-
#Pages 6
Date of Issue