Presentation 2014-03-03
Simple Diversity Combining Techniques for Cyclostationarity Detection Based Spectrum Sensing of OFDM Signals in Cognitive Radio
Shusuke NARIEDA,
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Abstract(in English) This paper presents simple diversity combining techniques for cyclostationarity detection based spectrum sensing in cognitive radio networks. The presented techniques combine the cyclic autocorrelation function (CAF) of orthogonal frequency division multiplexing (OFDM) signals whereas general diversity combining techniques combines some received signals. A signal-to-noise ratio (SNR) of numerical values of CAF is shown, and the presented techniques improved the SNR using diversity combining techniques. It is well known that the CAF of OFDM signals has a peak and non-peak at some cyclic frequencies, the presented techniques combine these CAF obtained at each received antenna to improve the performance of spectrum sensing. The presented results are compared with some conventional results, and computational and theoretical analysis results show that the presented techniques can improve the performance of spectrum sensing.
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Keyword(in English) Cognitive radio networks / spectrum sensing / signal cyclostationarity / OFDM signal / maximum cyclic autocorrelation selection
Paper # SR2013-102
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Conference Date 2014/2/24(1days)
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Title (in English) Simple Diversity Combining Techniques for Cyclostationarity Detection Based Spectrum Sensing of OFDM Signals in Cognitive Radio
Sub Title (in English)
Keyword(1) Cognitive radio networks
Keyword(2) spectrum sensing
Keyword(3) signal cyclostationarity
Keyword(4) OFDM signal
Keyword(5) maximum cyclic autocorrelation selection
1st Author's Name Shusuke NARIEDA
1st Author's Affiliation Dept. of Electrical and Computer Eng., Akashi National College of Technology()
Date 2014-03-03
Paper # SR2013-102
Volume (vol) vol.113
Number (no) 457
Page pp.pp.-
#Pages 6
Date of Issue