Item type |
会議発表論文 / Conference Paper(1) |
公開日 |
2023-03-02 |
タイトル |
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タイトル |
A Statistical Clutter Suppression Method Based on Given Target-Existence Probabilities for High Resolution UWB Radars |
言語 |
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言語 |
eng |
キーワード |
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主題Scheme |
Other |
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主題 |
UWB radar |
キーワード |
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主題Scheme |
Other |
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主題 |
HRR |
キーワード |
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主題Scheme |
Other |
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主題 |
high-resolution radar |
キーワード |
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主題Scheme |
Other |
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主題 |
radar clutter |
キーワード |
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主題Scheme |
Other |
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主題 |
power conversion |
キーワード |
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主題Scheme |
Other |
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主題 |
target-existence probability |
資源タイプ |
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資源タイプ識別子 |
http://purl.org/coar/resource_type/c_5794 |
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資源タイプ |
conference paper |
著者 |
TAKAHASHI, Satoshi
AHN, Chang-Jun
高橋, 賢
安, 昌俊
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抄録 |
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内容記述タイプ |
Abstract |
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内容記述 |
High-resolution radars (HRR) using ultra wideband (UWB) signals is a promising system for various detection and ranging applications. The radar resolution increases as a decrease of the pulse width, then radar echoes including background unwanted ones become spiky. Various modifications of constant false alarm rate (CFAR) and matched filters have been proposed to reduce false alarm induced by unwanted radar echos (clutter), but the target shape information diminishes due to exploitations based on range-bin processing. In this paper, a method of suppressing clutter with the reception power conversion is proposed. Novel categories of reflection objects with their existence probabilities are introduced and the characteristic function method is used for efficiently obtaining the power conversion table on a computer. |
書誌情報 |
The 10th International Symposium on Wireless Personal Multimedia Communications (WPMC)
p. 860-863,
発行日 2007-12
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出版者 |
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出版者 |
The LNM Institute |
ISBN |
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識別子タイプ |
ISBN |
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関連識別子 |
1882-5621 |
権利 |
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権利情報 |
All Rights Reserved, Copyright (c) 2007 The National Institute of Information and Communications Technology. 本著作物の著作権は独立行政法人情報通信研究機構が所有します。 |
関連サイト |
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識別子タイプ |
URI |
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関連識別子 |
http://www.nict.go.jp/index.html |
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関連名称 |
NICT-情報通信研究機構 |
フォーマット |
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内容記述タイプ |
Other |
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内容記述 |
application/pdf |
著者版フラグ |
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出版タイプ |
VoR |
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出版タイプResource |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |