NDLI: Classification of Digital Amplitude-Phase Modulated Signals in Time-Correlated Non-Gaussian Channels

Content Provider	IEEE Xplore Digital Library
Author	Chavali, V.G. da Silva, C.R.C.M.
Copyright Year	1972
Abstract	In this paper, a new algorithm is proposed for the classification of digital amplitude-phase modulated signals in flat fading channels with time-correlated non-Gaussian noise. The first-order statistics of the additive noise is modeled by a Gaussian mixture distribution and an autoregressive (AR) process is used to model the time-correlation. The proposed classifier involves the use of a whitening filter, necessary to reduce the complexity of the classification process, and maximum-likelihood classification. For the estimation of the whitening filter coefficients, a new blind technique that is based on the use of a robust H_∞ filter is developed. After whitening the received signal, following a composite hypothesis testing approach, the unknown fading and noise distribution parameters are estimated. Results are presented which show that when the noise process is time-correlated non-Gaussian, the proposed classifier outperforms maximum-likelihood classifiers developed under the assumption that the noise process is either white non-Gaussian or white Gaussian. It is also shown that when the noise process is white Gaussian, the proposed classifier's performance closely approaches that of the maximum-likelihood classifier developed for white Gaussian noise channels.
Starting Page	2408
Ending Page	2419
Page Count	12
File Size	514948
File Format	PDF
ISSN	00906778
Volume Number	61
Issue Number	6
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Noise Estimation Modulation Signal processing algorithms Fading Correlation Robustness fading channels Modulation classification parameter estimation non-Gaussian noise Gaussian mixture noise
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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