International Telecommunication Union-Radiocommunication Sector (ITU-R) P.837-6 and P.837-7 performance to estimate Indonesian rainfall
| Main Authors: | Wang, Yonghua; South China University of Technology, Wan, Pin; Guangdong University of Technology, Deng, Qin; Guangdong University of Technology, Fu, Yuli; South China University of Technology |
|---|---|
| Format: | Article info application/pdf eJournal |
| Bahasa: | eng |
| Terbitan: |
Universitas Ahmad Dahlan
, 2015
|
| Online Access: |
http://journal.uad.ac.id/index.php/TELKOMNIKA/article/view/1431 http://journal.uad.ac.id/index.php/TELKOMNIKA/article/view/1431/8810 |
| ctrlnum |
article-1431 |
|---|---|
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<dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><title lang="en-US">International Telecommunication Union-Radiocommunication Sector (ITU-R) P.837-6 and P.837-7 performance to estimate Indonesian rainfall</title><creator>Wang, Yonghua; South China University of Technology</creator><creator>Wan, Pin; Guangdong University of Technology</creator><creator>Deng, Qin; Guangdong University of Technology</creator><creator>Fu, Yuli; South China University of Technology</creator><subject lang="en-US"/><description lang="en-US">The cognitive radio technology can improve the efficiency of spectrum utilization byproviding dynamic spectrum access to unoccupied frequency bands. Spectrum sensing is one of the key technologies of cognitive radio networks. The spectrum sensing performance of cognitive radio networks will be greatly reduced in the low SNR environment, especially when using energy detection. Because the stochastic resonance system can improve the energy detection system output SNR .To improve the spectrum sensing performance of cognitive radio networks in the low SNR environment, the stochastic resonance of the single-mode nonlinear optical system is applied to spectrum sensing based on the energy detection method in this paper. The simulation results show that in the low SNR environment, the energy detection based on stochastic resonance of the single-mode nonlinear optical system has better performance than traditional energy detection.</description><publisher lang="en-US">Universitas Ahmad Dahlan</publisher><contributor lang="en-US"/><date>2015-06-01</date><type>Journal:Article</type><type>Other:info:eu-repo/semantics/publishedVersion</type><type>Other:</type><type>File:application/pdf</type><identifier>http://journal.uad.ac.id/index.php/TELKOMNIKA/article/view/1431</identifier><identifier>10.12928/telkomnika.v13i2.1431</identifier><source lang="en-US">TELKOMNIKA (Telecommunication Computing Electronics and Control); Vol 13, No 2: June 2015; 494-501</source><source>2302-9293</source><source>1693-6930</source><source>10.12928/telkomnika.v13i2</source><language>eng</language><relation>http://journal.uad.ac.id/index.php/TELKOMNIKA/article/view/1431/8810</relation><rights lang="0">Copyright (c) 2020 Universitas Ahmad Dahlan</rights><rights lang="0">http://creativecommons.org/licenses/by-sa/4.0</rights><recordID>article-1431</recordID></dc>
|
| language |
eng |
| format |
Journal:Article Journal Other:info:eu-repo/semantics/publishedVersion Other Other: File:application/pdf File Journal:eJournal |
| author |
Wang, Yonghua; South China University of Technology Wan, Pin; Guangdong University of Technology Deng, Qin; Guangdong University of Technology Fu, Yuli; South China University of Technology |
| title |
International Telecommunication Union-Radiocommunication Sector (ITU-R) P.837-6 and P.837-7 performance to estimate Indonesian rainfall |
| publisher |
Universitas Ahmad Dahlan |
| publishDate |
2015 |
| url |
http://journal.uad.ac.id/index.php/TELKOMNIKA/article/view/1431 http://journal.uad.ac.id/index.php/TELKOMNIKA/article/view/1431/8810 |
| contents |
The cognitive radio technology can improve the efficiency of spectrum utilization byproviding dynamic spectrum access to unoccupied frequency bands. Spectrum sensing is one of the key technologies of cognitive radio networks. The spectrum sensing performance of cognitive radio networks will be greatly reduced in the low SNR environment, especially when using energy detection. Because the stochastic resonance system can improve the energy detection system output SNR .To improve the spectrum sensing performance of cognitive radio networks in the low SNR environment, the stochastic resonance of the single-mode nonlinear optical system is applied to spectrum sensing based on the energy detection method in this paper. The simulation results show that in the low SNR environment, the energy detection based on stochastic resonance of the single-mode nonlinear optical system has better performance than traditional energy detection. |
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Universitas Ahmad Dahlan |
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