Nonparametric Blind Signal Detection Based on Logarithmic Moments in Very Impulsive Noise
Joint Authors
Luo, Jinjun
Wang, Shilian
Zhang, Eryang
Man, Xin
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-04-12
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Telecommunications Engineering
Abstract EN
The detection problem in impulsive noise modeled by the symmetric alpha stable SαS distribution is studied.
The traditional detectors based on the second or higher order moments fail in SαS noise, and the method based on the fractional lower order moments (FLOMs) performs poorly when the noise distribution has small values of characteristic exponent.
In this paper, a detector based on the logarithmic moments is investigated.
The analytical expressions of the false alarm and detection probabilities are derived in nonfading channels as well as Rayleigh fading channels.
The effect of noise uncertainty on the performance is discussed.
Simulation results show that the logarithmic detector performs better than the FLOM and Cauchy detectors in very impulsive noise.
In addition, the logarithmic detector is a nonparametric method and avoids estimating the parameter of the noise distribution, which makes the logarithmic detector easier to implement than the FLOM detector.
American Psychological Association (APA)
Luo, Jinjun& Wang, Shilian& Zhang, Eryang& Man, Xin. 2018. Nonparametric Blind Signal Detection Based on Logarithmic Moments in Very Impulsive Noise. Mobile Information Systems،Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1204943
Modern Language Association (MLA)
Man, Xin…[et al.]. Nonparametric Blind Signal Detection Based on Logarithmic Moments in Very Impulsive Noise. Mobile Information Systems No. 2018 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-1204943
American Medical Association (AMA)
Luo, Jinjun& Wang, Shilian& Zhang, Eryang& Man, Xin. Nonparametric Blind Signal Detection Based on Logarithmic Moments in Very Impulsive Noise. Mobile Information Systems. 2018. Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1204943
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1204943