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Paper Abstract and Keywords
Presentation 2022-10-31 10:30
[Poster Presentation] Highly Detectable Collision Detection in PhyC-SN by Receiving Antenna Selection
Toshi Ito, Osamu Takyu (Shinshu Univ.), Mai Ohta (Fukuoka Univ), Takeo Fujii, Koichi Adachi (UEC)
Abstract (in Japanese) (See Japanese page) 
(in English) The feature of phase dispersion is used as a collision detection method in the wireless physical quantity conversion-summary (PhyC-SN) method, which converts sensor information into a carrier wave for transmission, utilizing the frequency offset. However, low-power signal points are easily affected by noise and the phase transition fluctuates, resulting in a high dispersion value. Therefore, even when the transmitted signal is not in collision, the dispersion value may be high, affecting identification. This paper proposes a collision detection method in which a certain threshold is set and the phase variance is calculated only for signal points with power above the threshold and is used as a feature.
Keyword (in Japanese) (See Japanese page) 
(in English) PhyC-SN / Frequency Offset / Window function / SVM / / / /  
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Conference Information
Committee RISING  
Conference Date 2022-10-31 - 2022-11-02 
Place (in Japanese) (See Japanese page) 
Place (in English) Kyoto Terrsa (Day 1), and Online (Day 2, 3) 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To RISING 
Conference Code 2022-10-RISING 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Highly Detectable Collision Detection in PhyC-SN by Receiving Antenna Selection 
Sub Title (in English)  
Keyword(1) PhyC-SN  
Keyword(2) Frequency Offset  
Keyword(3) Window function  
Keyword(4) SVM  
1st Author's Name Toshi Ito  
1st Author's Affiliation Shinshu University (Shinshu Univ.)
2nd Author's Name Osamu Takyu  
2nd Author's Affiliation Shinshu University (Shinshu Univ.)
3rd Author's Name Mai Ohta  
3rd Author's Affiliation Fukuoka University (Fukuoka Univ)
4th Author's Name Takeo Fujii  
4th Author's Affiliation The University of Electro-Communications (UEC)
5th Author's Name Koichi Adachi  
5th Author's Affiliation The University of Electro-Communications (UEC)
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Speaker Author-1 
Date Time 2022-10-31 10:30:00 
Presentation Time 45 minutes 
Registration for RISING 
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