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False Alarm Rate Analysis of the FCME Algorithm in Cognitive Radio Applications

Authors:
Johanna Vartiainen
Risto Vartiainen

Keywords: cognitive radio; spectrum sensing; false alarm rate

Abstract:
Cognitive radio is a promising choice to fulfill needs of growing wireless applications in the future. Spectrum sensing is beneficial in several circumstances when secondary user (SU) search empty frequencies for a transmission. One interesting choice for spectrum sensing is the localization algorithm based on the double-thresholding (LAD) method. The LAD method is based on the forward consecutive mean excision (FCME) algorithm that calculates the used thresholds. Threshold setting is based on the usage of the desired false alarm rate, which is sensitive to issues like the length of the integration time. In the real-time applications, integration time is limited. In this paper, the false alarm rate of the FCME algorithm is studied. The false alarm rates of the FCME algorithm in the noise-only case with different integration times (sample vector lengths) are analyzed. The minimum length of the sample vector is defined. The simulation results are verified by the real measurement results in the noise-only case, and a scenario that combines the results is presented. It is also noted that in the noise measurements, the achieved false alarm rates are somewhat lower than the desired ones.

Pages: 102 to 106

Copyright: Copyright (c) IARIA, 2015

Publication date: June 21, 2015

Published in: conference

ISSN: 2308-4030

ISBN: 978-1-61208-411-4

Location: Brussels, Belgium

Dates: from June 21, 2015 to June 26, 2015