2011 Fiscal Year Final Research Report
Adaptive millimeter-wave security imaging based on complex-valued neural networks
| Project/Area Number |
21300089
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Sensitivity informatics/Soft computing
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| Research Institution | The University of Tokyo |
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Principal Investigator |
HIROSE Akira 東京大学, 大学院・工学系研究科, 教授 (70199115)
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| Project Period (FY) |
2009 – 2011
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| Keywords | ミリ波セキュリティ・イメージング / ニューラルネットワーク / 複素自己組織化マップ / アレイ・アンテナ |
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| Research Abstract |
In this project, we made the following three achievements.(1) We proposed a new(complex-valued) self-organizing map(CSOM) architecture, namely CSOM, in which the SOM dynamics is modulated in accordance with the mutual information, resulting in organic integration of multi-modal information, i. e., spatial-and frequency-domain texture information in the present millimeter-wave imaging system case.(2) We constructed an eight-element one-dimensional millimeter-wave linearly-tapered-slot antenna(LTSA) array, directly connected to parallel front-end circuit to realize the envelope phase detection(EPD), resulting in spatial parallelism of the system's front-end.(3) We evaluated the system consisting of(1) and(2), and found that the CSOM yields successful visualization output even for seemingly almost random raw observation data.
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