Presentation 2007-02-23
An experimental result of blind radio wave signals separation by independent component analysis
Takeshi AMISHIMA, Atsushi OKAMURA, Mayumi KITAGUCHI, Shinichi MORITA, Tetsuo KIRIMOTO,
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Abstract(in English) Independent Component Analysis is a statistical method to blindly separate mixed signals. There are not much research done in radio wave signal separation, although several work have been reported in the field of sound separation. Application of ICA to radio wave signals can provide an advantage that there is no need of primitive information such as antenna pattern or replica signals. On the other hand, we have, previously, proposed a permutation method by which one can relate the separated signals between different time blocks. In this paper, we present an experimental result of blind radio wave signals separation using ICA. The result shows the applicability of ICA to radio wave separation, and the effectiveness of our proposed permutation method.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) ICA / Passive / Radio / Cummrant / Blind / Separation
Paper # SANE2006-134
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Committee SANE
Conference Date 2007/2/16(1days)
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Paper Information
Registration To Space, Aeronautical and Navigational Electronics (SANE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) An experimental result of blind radio wave signals separation by independent component analysis
Sub Title (in English)
Keyword(1) ICA
Keyword(2) Passive
Keyword(3) Radio
Keyword(4) Cummrant
Keyword(5) Blind
Keyword(6) Separation
1st Author's Name Takeshi AMISHIMA
1st Author's Affiliation Mitsubishi Electric Corporation()
2nd Author's Name Atsushi OKAMURA
2nd Author's Affiliation Mitsubishi Electric Corporation
3rd Author's Name Mayumi KITAGUCHI
3rd Author's Affiliation University of Kitakyushu
4th Author's Name Shinichi MORITA
4th Author's Affiliation Mitsubishi Electric Corporation
5th Author's Name Tetsuo KIRIMOTO
5th Author's Affiliation Mitsubishi Electric Corporation
Date 2007-02-23
Paper # SANE2006-134
Volume (vol) vol.106
Number (no) 542
Page pp.pp.-
#Pages 6
Date of Issue