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