Presentation 2014-11-13
Multi-Dimensional Wireless Tomography with Compressed Sensing(Invited Talk)
Takahiro MATSUDA, Shinsuke HARA, Kenichi TAKIZAWA, Fumie ONO, Ryu MIURA,
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Abstract(in English) Wireless tomography is an inference technique for a spatial distribution of shadowing loss within a region by analyzing wireless signals traversed across the region. Compressed sensing is a promising approach for wireless tomography when the spatial distribution is highly correlated. In this article, in order to estimate the spatial distribution of a two and higher dimensionally structured monitored region, we study a multi-dimensional wireless tomography with tensor-based compressed sensing. With simulation experiments, we evaluate the performance of the multi-dimensional wireless tomography.
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Keyword(in English) wireless tomography / compressed sensing / tensor
Paper # NS2014-132,CQ2014-75,ICM2014-23
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Committee ICM
Conference Date 2014/11/6(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Multi-Dimensional Wireless Tomography with Compressed Sensing(Invited Talk)
Sub Title (in English)
Keyword(1) wireless tomography
Keyword(2) compressed sensing
Keyword(3) tensor
1st Author's Name Takahiro MATSUDA
1st Author's Affiliation Graduate School of Engineering, Osaka University:National Institute of Information and Communications Technology()
2nd Author's Name Shinsuke HARA
2nd Author's Affiliation Grauduate School of Engineering, Osaka City University:National Institute of Information and Communications Technology
3rd Author's Name Kenichi TAKIZAWA
3rd Author's Affiliation National Institute of Information and Communications Technology
4th Author's Name Fumie ONO
4th Author's Affiliation National Institute of Information and Communications Technology
5th Author's Name Ryu MIURA
5th Author's Affiliation National Institute of Information and Communications Technology
Date 2014-11-13
Paper # NS2014-132,CQ2014-75,ICM2014-23
Volume (vol) vol.114
Number (no) 299
Page pp.pp.-
#Pages 6
Date of Issue