Spectrum Sensing Based on Nonparametric Autocorrelation in Wireless Communication Systems under Alpha Stable Noise
Joint Authors
Chen, Riqing
Wang, Jun
Lin, Ruiquan
Zhao, Xiangning
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-05-16
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Telecommunications Engineering
Abstract EN
Cognitive radio is regarded as a core technology to support wireless information systems.
Spectrum sensing is one of the key steps to achieve cognitive radio technology.
To address this problem in the presence of Alpha stable noise in wireless communication systems, we propose a nonparametric autocorrelation method, which takes advantages of the characteristics of signal autocorrelation and noise nonstationarity.
The autocorrelated signal is distinguished from Alpha stable noise.
As a result, the proposed method is immune from noise uncertainty.
Simulation results show the validity of the proposed method under Alpha stable noise, for example, impulsive noise in wireless information systems.
American Psychological Association (APA)
Chen, Riqing& Wang, Jun& Lin, Ruiquan& Zhao, Xiangning. 2016. Spectrum Sensing Based on Nonparametric Autocorrelation in Wireless Communication Systems under Alpha Stable Noise. Mobile Information Systems،Vol. 2016, no. 2016, pp.1-6.
https://search.emarefa.net/detail/BIM-1111575
Modern Language Association (MLA)
Chen, Riqing…[et al.]. Spectrum Sensing Based on Nonparametric Autocorrelation in Wireless Communication Systems under Alpha Stable Noise. Mobile Information Systems No. 2016 (2016), pp.1-6.
https://search.emarefa.net/detail/BIM-1111575
American Medical Association (AMA)
Chen, Riqing& Wang, Jun& Lin, Ruiquan& Zhao, Xiangning. Spectrum Sensing Based on Nonparametric Autocorrelation in Wireless Communication Systems under Alpha Stable Noise. Mobile Information Systems. 2016. Vol. 2016, no. 2016, pp.1-6.
https://search.emarefa.net/detail/BIM-1111575
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1111575