Dyadic Aggregated Autoregressive Model (DASAR) for Automatic Modulation Classification

Dyadic Aggregated Autoregressive Model (DASAR) for Automatic Modulation Classification

In this article, we presented a novel spectral estimation method, the dyadic aggregated autoregressive model (DASAR), that characterizes the spectrum dynamics of a modulated signal. DASAR enhances automatic modulation classification (AMC) on environments where new or unknown modulation techniques ar...

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Bibliographic Details
Main Authors: Marco Antonio Pinto-Orellana, Hugo Lewi Hammer
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Automatic modulation classification
signal processing
spectrum modeling
autoregressive model
machine learning
Online Access:https://ieeexplore.ieee.org/document/9178748/

Internet

https://ieeexplore.ieee.org/document/9178748/

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