in the name of allah spectrum sensing based on cyclostationarity

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In the name of Allah Spectrum Sensing Based on Cyclostationarity Presented by: Eniseh Berenjkoub Summer 2009 1

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In the name of Allah Spectrum Sensing Based on Cyclostationarity. Presented by: Eniseh Berenjkoub Summer 2009. Content. Cognitive radio and its demands Introduction to Cyclostationarity Detection based on Cyclostationarity Conclusion. Cognitive Radio. For What - PowerPoint PPT Presentation

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Page 1: In the name of Allah Spectrum Sensing Based on Cyclostationarity

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In the name of Allah

Spectrum Sensing Based on Cyclostationarity

Presented by:Eniseh Berenjkoub

Summer 2009

Page 2: In the name of Allah Spectrum Sensing Based on Cyclostationarity

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Content

•Cognitive radio and its demands

•Introduction to Cyclostationarity

•Detection based on Cyclostationarity

•Conclusion

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Cognitive Radio

•For What

•Primary versus secondary user

•Spectrum sensing

• interference

• Using idle channels

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Spectrum Sensing

•Different methods

•Matched filter

• Energy detector

• Cyclostationary method

•…

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Spectrum Sensing…

•Need for doing well in low SNRs

•Differentiate between noise, interference

& signal

•Using one detector

•Does not require signal information

•Robustness against noise power

uncertainty

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Spectrum Sensing…

“the sensing tiger team of the IEEE 802.22 group specified the requirements of the spectrum sensing of ATSC DTV signals: the

miss detection probability (PMD) should not exceed 0.1 subject to a 0.1 probability of false alarm (PFA) when the SNR

is -20.8 dB”

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Cyclostationarity

•Hand made signals are Cyclostationary!

•Noise assumed to be stationary

•So:

we can differentiate between them

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Cyclostationarity…

•Definition:

•So:

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Cyclostationarity…

•In more general case: (Almost

Cyclostationary)

•A is the set of freq. for which:

Page 10: In the name of Allah Spectrum Sensing Based on Cyclostationarity

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Cyclostationarity…

•Then we have:

•We call Rxα(τ) “Cyclic auto-correlation

function”, Sxα(f) “Spectral Correlation

Density function (SCD)” or “Cyclic

spectrum”, and α “Cycle frequency”

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Detection

•Estimation of Cyclic auto-correlation

function :

•Do it for several delay, so:

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Detection…

•Estimate Rxα(τ) for several cycle freq.

• hypothesis test:

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Detection…

•Choose an appropriate statistic

•Choose a threshold

•Calculate the statistic according to SCD

•So

SCD should be estimated

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Some Note

•Rate of False Alarm is very important

• CFAR methods

•Different method for estimating SCD

•Better performance by cooperative spec.

sensing

•Better performance by using multiple

antennas

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Major Challenge

•High complexity

• SCD has two dimensions

• Large size of FFT

•Time consuming

•Miss the opportunities

•Calculating SCD in special freq. and cycle

freq.

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Conclusion

•Detection based on Cyclostationarity is a

solution for CR

•But…

•It has its problems

•There is a lot of work to do!

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Any Questions?