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Wireless Personal Communications
Published in: Wireless Personal Communications 1/2021

11-08-2020

Blind Digital Modulation Identification Using an Efficient Method-of-Moments Estimator

Authors: Hamid Amiri Ara, M. R. Zahabi, Ataollah Ebrahimzadeh

Published in: Wireless Personal Communications | Issue 1/2021

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Abstract

The automatic identification of the modulation format of a detected signal is a major task of an intelligent receiver in both military and civilian applications. It is well known that the maximum likelihood (ML) classifier requires a priori knowledge of the incoming signal and channel (including amplitude, timing information, noise power, and the roll-off factor of the pulse-shaping filter). To relax this requirement, we introduce a novel estimator to estimate the parameters required by the ML classifier which is blind to the modulation scheme of the received signal, and this gives rise to a new blind modulation classifier for digital amplitude-phase modulated signals. While the proposed classifier is completely blind, the simulation results show that the performance of this classifier is very close to the optimal non-blind classifier.
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Footnotes
1
In this paper, we assume a block fading channel in which the channel amplitude and phase are constant over the N symbol observation interval.
 
2
∑ k=−∞ +∞ x(t − kT) = (1/T) ∑ k=−∞ +∞ X(k/T) exp (j2πkt/T), where X(f) is the Fourier transform of a function x(t).
 
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Metadata
Title
Blind Digital Modulation Identification Using an Efficient Method-of-Moments Estimator
Authors
Hamid Amiri Ara
M. R. Zahabi
Ataollah Ebrahimzadeh
Publication date
11-08-2020
Publisher
Springer US
Published in
Wireless Personal Communications / Issue 1/2021
Print ISSN: 0929-6212
Electronic ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-020-07715-2

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