Presentation 2014-03-07
Experimental Analyses of Cyclic Autocorrelation Function Diversity Combining Techniques for Spectrum Sensing in Cognitive Radio
Tetsuya HADA, Shusuke NARIEDA,
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Abstract(in English) This paper provides experimental analyses results for the spectrum sensing performance of cyclic autocorrelation function (CAF) diversity combining techniques. In experimental analyses, the CAF diversity combining techniques are implemented in two universal software radio peripherals (USRPs), and the spectrum sensing is carried out by the real-time processing in GNU Radio. The CAF diversity combining based spectrum sensing techniques are experimented in the anechoic chamber. From the viewpoint of experimentally analysis, this paper shows that the effectiveness of the CAF diversity combining techniques based spectrum sensing.
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Keyword(in English) Cognitive radio networks / spectrum sensing / OFDM signal / diversity combining / software denned radio
Paper # CAS2013-133,SIP2013-179,CS2013-146
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Committee CS
Conference Date 2014/2/27(1days)
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Language JPN
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Title (in English) Experimental Analyses of Cyclic Autocorrelation Function Diversity Combining Techniques for Spectrum Sensing in Cognitive Radio
Sub Title (in English)
Keyword(1) Cognitive radio networks
Keyword(2) spectrum sensing
Keyword(3) OFDM signal
Keyword(4) diversity combining
Keyword(5) software denned radio
1st Author's Name Tetsuya HADA
1st Author's Affiliation Dept. of Electrical and Computer Eng., Akashi National College of Technology()
2nd Author's Name Shusuke NARIEDA
2nd Author's Affiliation Dept. of Electrical and Computer Eng., Akashi National College of Technology
Date 2014-03-07
Paper # CAS2013-133,SIP2013-179,CS2013-146
Volume (vol) vol.113
Number (no) 465
Page pp.pp.-
#Pages 5
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