Title
A Likelihood-Based Algorithm for Blind Identification of QAM and PSK Signals.
Abstract
This paper presents a likelihood-based method for automatically identifying different quadrature amplitude modulations (QAM) and phase-shift keying (PSK) modulations. This algorithm selects the modulation type that maximizes a log-likelihood function based on the known probability distribution associated with the phase or amplitude of the received signals for the candidate modulation types. The ap...
Year
DOI
Venue
2018
10.1109/TWC.2018.2811802
IEEE Transactions on Wireless Communications
Keywords
Field
DocType
Quadrature amplitude modulation,Signal to noise ratio,Binary phase shift keying,Pulse shaping methods
Quadrature amplitude modulation,Likelihood function,QAM,Signal-to-noise ratio,Algorithm,Probability distribution,Baud,Additive white Gaussian noise,Mathematics,Phase-shift keying
Journal
Volume
Issue
ISSN
17
5
1536-1276
Citations 
PageRank 
References 
2
0.39
0
Authors
3
Name
Order
Citations
PageRank
Daimei Zhu131.17
V. John Mathews23811.28
David H. Detienne331.17