Nonparametric Blind Signal Detection Based on Logarithmic Moments in Very Impulsive Noise

Joint Authors

Luo, Jinjun
Wang, Shilian
Zhang, Eryang
Man, Xin

Source

Mobile Information Systems

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