2011 6th International Conference on Industrial and Information Systems 2011
DOI: 10.1109/iciinfs.2011.6038031
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Review of spectrum sensing in cognitive radio

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Cited by 15 publications
(12 citation statements)
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“…Section IV deals with estimation of Monte Carlo while in section V simulated results are explained followed by concluding remarks in Section VI , II. LITERATURE REVIEW Different Spectrum sensing ways are developed such as, Energy Detection (ED), Cyclostationary Feature Detection (CFD), Matched Filter (MF), Waveform based sensing and Cooperative sensing [5][6][7][8][9][10][11][12][13][14]. Energy Detection, Cyclostationary Feature Detection, Matched Filter Detection mostly referred to as transmitter detection based sensing techniques.…”
Section: Abdul Hameed Ansari Is An Ieee Member Researchmentioning
confidence: 99%
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“…Section IV deals with estimation of Monte Carlo while in section V simulated results are explained followed by concluding remarks in Section VI , II. LITERATURE REVIEW Different Spectrum sensing ways are developed such as, Energy Detection (ED), Cyclostationary Feature Detection (CFD), Matched Filter (MF), Waveform based sensing and Cooperative sensing [5][6][7][8][9][10][11][12][13][14]. Energy Detection, Cyclostationary Feature Detection, Matched Filter Detection mostly referred to as transmitter detection based sensing techniques.…”
Section: Abdul Hameed Ansari Is An Ieee Member Researchmentioning
confidence: 99%
“…The MF is known to be the optimum method for detection of primary users when the transmitted signal is known [16]. MF methods are optimal for stationary Gaussian noise scenarios as this maximize the received SNR [5][6][7]. The main advantage of MF is the short time to achieve a certain probability of false alarm or probability of miss detection [16] as compared to other methods.…”
Section: Abdul Hameed Ansari Is An Ieee Member Researchmentioning
confidence: 99%
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