Presentation 2010-01-29
UWB radar imaging algorithm for multiple objects with optimization of the waveform information
Hiroshi MATSUMOTO, Takuya SAKAMOTO, Toru SATO,
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Abstract(in English) UWB radar systems, which possess the high range solution, are expected to be applied to a variety of areas with fast imaging algorithms, such as SEABED method. This method makes it possible to image 3-D unknown targets by using a reversible transform after extracting the curved surface, called quasi-wavefront, which is constructed from antenna position and distance to the target. However, in case of observing complex-shaped targets, a more advanced algorithm is required in order to extract them correctly, because the received signals interfere each other with the echos from multiple reflected points. We have already made it possible to obtain the accurate image of complex objects by treating the problem as an optimization with an evaluation function regarding the waveforms. The conventional study, which assumed the simple model that scattering waveforms are known and constant, is not enough as the real-environmental signal processing algorithm. In order to adapt to the real environment, we proposes to consider the waveforms into the evaluation function, which depends on the antenna pattern and its frequency property. We obtain the accurate image by appling the real observed data of multiple objects.
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Keyword(in English) UWB / radar imaging / antenna pattern / SEABED method / multiple objects / quasi-wavefront / optimization
Paper # PN2009-84,OPE2009-222,LQE2009-204
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Committee PN
Conference Date 2010/1/21(1days)
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Registration To Photonic Network (PN)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) UWB radar imaging algorithm for multiple objects with optimization of the waveform information
Sub Title (in English)
Keyword(1) UWB
Keyword(2) radar imaging
Keyword(3) antenna pattern
Keyword(4) SEABED method
Keyword(5) multiple objects
Keyword(6) quasi-wavefront
Keyword(7) 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 2010-01-29
Paper # PN2009-84,OPE2009-222,LQE2009-204
Volume (vol) vol.109
Number (no) 401
Page pp.pp.-
#Pages 6
Date of Issue