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ISSN:2394-3661 | Crossref DOI | SJIF: 5.138 | PIF: 3.854

International Journal of Engineering and Applied Sciences

(An ISO 9001:2008 Certified Online and Print Journal)

Modified Cyclostationarity Feature Detection for Asynchronous PU Occurrence in Cognitive Radio Systems

( Volume 4 Issue 8,August 2017 ) OPEN ACCESS
Author(s):

Ashraf A. Eltholth

Abstract:

This paper mitigates the consequences of asynchronous primary user (PU) activities within the cognitive radio user sensing time period. The effect of arrival and departure times of PU on the joint time-frequency cyclostationarity is illustrated with the 802.11a OFDM signal and applies results obtained for an adaptive threshold based cyclostationarity feature. The proposed scaling algorithm is based on the probability of effective sample size. The proposed algorithm improves the ROC performance under various PU occurrence conditions.

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