Presentation 2015-01-30
Welch FFT segment size selection method for Duty Cycle estimation
Hiroki IWATA, Kenta UMEBAYASHI, Samuli TIIRO, Janne J LEHTOMAKI, Yasuo SUZUKI,
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Abstract(in English) In dynamic spectrum access (DSA) and the scenario with dynamic primary user (PU), spectrum sensing with reasonably low cost is very challenging due to the required detection accuracy and quickness which is used to detect the unused spectrum (White Space : WS) owned by PU. One possible approach to achieve the requirements is to use statistics regarding PU spectrum utilization in spectrum sensing. For this issue, it is necessary to develop a system for obtaining the statistical information, such as Duty Cycle (DC). In our previous work, DC estimation based on Welch FFT has been investigated. The DC estimation method requires the optimum segment size selection method for both estimation accuracy because there is a trade-off relationship between DC estimation accuracy and WS estimation accuracy with regard to the segment size of Welch FFT. In this paper, we show the optimum segment size depends on the signal-to-noise power ratio in frequency domain (SNR_). After that, in the environment where SNR_ varies due to fading etc., we propose a segment size selection method which can adapt to the fluctuation of SNR_. In numerical simulation, we show that our proposed method achieve high WS estimation accuracy while any DC estimation accuracy.
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Keyword(in English) Dynamic spectrum access / Spectrum measurement / Duty Cycle / Welch FFT
Paper # SR2014-110
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Conference Date 2015/1/22(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Welch FFT segment size selection method for Duty Cycle estimation
Sub Title (in English)
Keyword(1) Dynamic spectrum access
Keyword(2) Spectrum measurement
Keyword(3) Duty Cycle
Keyword(4) Welch FFT
1st Author's Name Hiroki IWATA
1st Author's Affiliation ()
2nd Author's Name Kenta UMEBAYASHI
2nd Author's Affiliation Department of Electrical Engineering, Tokyo University of Agriculture and Technology
3rd Author's Name Samuli TIIRO
3rd Author's Affiliation Department of Electrical Engineering, Tokyo University of Agriculture and Technology
4th Author's Name Janne J LEHTOMAKI
4th Author's Affiliation University of Oulu
5th Author's Name Yasuo SUZUKI
5th Author's Affiliation Department of Electrical Engineering, Tokyo University of Agriculture and Technology
Date 2015-01-30
Paper # SR2014-110
Volume (vol) vol.114
Number (no) 435
Page pp.pp.-
#Pages 8
Date of Issue