DocumentCode :
76817
Title :
Goodness-of-fit-based non-parametric spectrum sensing under Middleton noise for cognitive radio
Author :
Patel, D.K. ; Trivedi, Y.N.
Author_Institution :
Dept. of Electr. Eng., Nirma Univ., Ahmedabad, India
Volume :
51
Issue :
5
fYear :
2015
fDate :
3 5 2015
Firstpage :
419
Lastpage :
421
Abstract :
A novel goodness-of-fit-based non-parametric spectrum sensing scheme in a non-Gaussian noise environment, modelled by Middleton class A distribution, is proposed. The sampling distribution of the proposed test statistic is derived and the detection performance is shown using Monte Carlo simulations. Results are presented and it is concluded that the performance is degraded if the Gaussian component in the Middleton noise is higher than the non-Gaussian component.
Keywords :
Monte Carlo methods; cognitive radio; spread spectrum communication; statistical distributions; Middleton class A distribution; Middleton noise; Monte Carlo simulations; cognitive radio; goodness-of-fit-based nonparametric spectrum sensing; nonGaussian noise environment; sampling distribution; test statistic;
fLanguage :
English
Journal_Title :
Electronics Letters
Publisher :
iet
ISSN :
0013-5194
Type :
jour
DOI :
10.1049/el.2014.3780
Filename :
7047396
Link To Document :
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