A modified Otsu's algorithm for improving the performance of the energy detector in cognitive radio

Onumanyi, A. J. and Onwuka, Elizabeth Nonye and Aibinu, Abiodun Musa and Ugweje, Okechukwu C. and Salami, Momoh Jimoh Eyiomika (2017) A modified Otsu's algorithm for improving the performance of the energy detector in cognitive radio. AEU - International Journal of Electronics and Communications, 79. pp. 53-63. ISSN 1434-8411 E-ISSN 1618-0399

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Abstract

In this paper, we present a modified Otsu's algorithm for solving the automatic threshold estimation problem in energy detection based Cognitive Radio (CR) application. The modified algorithm was tested extensively and compared with other known algorithms using both simulated and real datasets. In particular, our findings reveal that the modified algorithm provides an averagely lower false alarm rate than the other techniques compared with in this paper. Furthermore, the results obtained show that the algorithm is independent of the bandwidth's size, while having a total complexity of O(V), where V is the total sample size. Thus, from the results of this paper, full and effective automatic blind spectrum sensing using an Energy Detector is possible in CR. This can be achieved at a Signal-to-Noise Ratio of 5 dB to meet the IEEE 802.22 draft standard of PD>90% and PFA<10%.

Item Type:	Article (Journal)
Additional Information:	2470/62679
Uncontrolled Keywords:	Adaptive threshold; Autonomous; Cognitive radio; Efficient energy detection; Modified Otsu algorithm; Nonparametric
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101 Telecommunication. Including telegraphy, radio, radar, television
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering
Depositing User:	Prof Momoh-Jimoh Salami
Date Deposited:	07 May 2018 09:20
Last Modified:	11 Jul 2018 09:46
URI:	http://irep.iium.edu.my/id/eprint/62679

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