Presentation 2014-07-30
A Weighted Diversity Combining Technique for Cyclostationarity Detection Based Spectrum Sensing of OFDM Signals in Cognitive Radio
Daiki CHO, Shusuke NARIEDA,
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Abstract(in English) This paper presents a weighted diversity combining technique for cyclostationarity detection based spectrum sensing of orthogonal frequency division multiplexing (OFDM) signals in cognitive radio. In general weighted combining techniques of radio communication systems, a received signal is weighted, therefore, a noise component including the received signal is also weighted in the same way as a signal component. A cyclic autocorrelation function (CAF) is used for cyclostationarity detection based spectrum sensing, and signal and noise component of the CAF can be obtained individually in sensing procedure. In this paper, we attempt to improve sensing performance to use the different weight for signal and noise components of the CAF. The presented results are compared with some conventional results, and these results show that the presented technique can improve the spectrum sensing performance.
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Keyword(in English) Cognitive radio network / cyclostationarity detection based spectrum sensing / space diversity / OFDM signal
Paper # SR2014-22
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Conference Date 2014/7/23(1days)
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Language JPN
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Title (in English) A Weighted Diversity Combining Technique for Cyclostationarity Detection Based Spectrum Sensing of OFDM Signals in Cognitive Radio
Sub Title (in English)
Keyword(1) Cognitive radio network
Keyword(2) cyclostationarity detection based spectrum sensing
Keyword(3) space diversity
Keyword(4) OFDM signal
1st Author's Name Daiki CHO
1st Author's Affiliation Advanced Course of Mechanical and Electronic Engineering, 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 2014-07-30
Paper # SR2014-22
Volume (vol) vol.114
Number (no) 165
Page pp.pp.-
#Pages 7
Date of Issue