NDLI: A new cumulant estimator in multipath fading channels for digital modulation classification

Content Provider	IET Digital Library
Author	Liu, Pei Shui, Peng Lang
Abstract	In this study, the authors consider the problem of digital modulation classification in a multipath channel using the cumulant-based method. A new estimator is proposed to estimate the fourth-order cumulant of transmitted symbol in a multipath channel with the help of the fourth-order cross-cumulants of the received symbols. The proposed estimator does not need the estimation of the multipath channel coefficients and is shown to be asymptotically unbiased. The channel order is an important factor to affect the estimator. The impact of the channel order mismatch on the estimator is analysed and it is proved that the estimator keeps unbiased in the case of the overestimation of the channel order. The simulated experiments are made to verify the cumulant-based classifier using the new estimator and the results show that it attains better performance for digital modulation classification than the two existing cumulant-based classifiers in a multipath channel.
Starting Page	2814
Ending Page	2824
Page Count	11
ISSN	17518628
Volume Number	8
e-ISSN	17518636
Issue Number	Issue 16, Nov (2014)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/8/16
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2014.0175
Journal	IET Communications
Publisher Date	2014-08-11
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Channel Estimation Channel Order Communication Channel Equalisation And Identification Cumulant Estimator Cumulant-based Classifier Cumulant-based Method Digital Modulation Classification Fading Channel Fourth-order Cross-cumulants Fourth-order Cumulant Higher Order Statistics Modulation Modulation And Coding Method Multipath Channel Multipath Channel Coefficient Multipath Fading Channel Radio Link And Equipment Signal Classification Signal Processing And Detection Statistics Transmitted Symbol
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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