Performance analysis of a low-complexity MAP algorithm for automatic modulation classification in adaptive OFDM systems

Automatic modulation classification (AMC) techniques enable the estimation of the bit allocation table in adaptive orthogonal frequency division multiplexing (OFDM) systems. In this study, the authors investigate the classification performance of a low-complexity maximum-a-posteriori (MAP) algorithm...

Full description

Saved in:

Bibliographic Details
Published in:	IET communications Vol. 10; no. 17; pp. 2363 - 2371
Main Authors:	Bahrani, Sima, Derakhtian, Mostafa, Zolghadrasli, Alireza
Format:	Journal Article
Language:	English
Published:	The Institution of Engineering and Technology 24.11.2016
Subjects:	adaptive modulation adaptive OFDM system Adaptive systems Algorithms AMC technique automatic modulation classification technique Automation bit allocation table estimation Classification low‐complexity MAP algorithm low‐complexity maximum‐a‐posteriori algorithm Mathematical models maximum likelihood estimation modified rate adaptive bit loading algorithm Modulation OFDM modulation Orthogonal Frequency Division Multiplexing Permissible error probability RA bit loading algorithm signal‐to‐noise ratio adaptive modulation adaptive OFDM system orthogonal frequency division multiplexing probability low-complexity maximum-a-posteriori algorithm modified rate adaptive bit loading algorithm maximum likelihood estimation automatic modulation classification technique AMC technique bit allocation table estimation RA bit loading algorithm signal-to-noise ratio OFDM modulation low-complexity MAP algorithm
ISSN:	1751-8628, 1751-8636
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!