Universal Journal of Electrical and Electronic Engineering Vol. 7(2), pp. 103 - 109
DOI: 10.13189/ujeee.2020.070205
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Cepstrum Multitaper Method for Optimal Detection of Cognitive Radio Networks


Hebat Allah O. Selim 1,*, Waheed Sabry 2,3
1 Valley Higher Institute for Engineering and Technology, Science Valley Academy, Egypt
2 Department of Electrical Power and Energy, Military Technical College, Egypt
3 Department of Electrical Engineering, Higher Technological Institute, Egyp

ABSTRACT

Multitaper method (MTM) is an unpopular method that used for spectrum detection. MTM is a good candidate to detect spectrum holes in cognitive radio networks. MTM is accurate, efficient and reliable technique. Cepstrum MTM is described as an effective tool for variance reduction beside its ability in increasing spectrum dynamic range (SDR) due to its isolation property which can be applied to the multiplied mixed signals. As a matter of fact, introducing cepstrum with MTM has achieved better detection performance with the available constraints. In this paper, an algorithm is prepared as a cepstrum MTM for optimal detection and applied to cognitive radio networks. Simple and computationally efficient mathematical expressions of the mean and variance were derived. A closed form expression for the probability of detection (Pd) and false detection (Pf) were obtained accordingly. Analysis of the suggested MTM based cepstrum detection is provided. Different aspects of spectrum sensing parameters were considered in the simulation. A receiver operating characteristic curve is tested where there is a relation between Pd and Pf. The required sample size to achieve certain detection, and the relation of Pd versus signal to noise ratio were also verified. Simulation results were obtained under different affecting factors of the proposed scheme such as probability of false alarm, number of sample points (N), and number of tapers (K). Simulation results reveal that the proposed detector outperforms conventional available tools at the worst scenario operating conditions. The proposed scheme outperforms convention MTM and energy detection by 20% and 45% respectively.

KEYWORDS
Cognitive Radio Networks, Spectrum Detection, Multitaper, Cepstrum, Optimal Detection

Cite This Paper in IEEE or APA Citation Styles
(a). IEEE Format:
[1] Hebat Allah O. Selim , Waheed Sabry , "Cepstrum Multitaper Method for Optimal Detection of Cognitive Radio Networks," Universal Journal of Electrical and Electronic Engineering, Vol. 7, No. 2, pp. 103 - 109, 2020. DOI: 10.13189/ujeee.2020.070205.

(b). APA Format:
Hebat Allah O. Selim , Waheed Sabry (2020). Cepstrum Multitaper Method for Optimal Detection of Cognitive Radio Networks. Universal Journal of Electrical and Electronic Engineering, 7(2), 103 - 109. DOI: 10.13189/ujeee.2020.070205.