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Second IEEE International Workshop on Electronic Design, Test and Applications
An Enhanced SOFM Method for Automatic Recognition and Identification of Digital Modulations
Perth, Australia
January 28-January 30
ISBN: 0-7695-2081-2
ASCII Text
x 
 
Xiaoyong Yang, "An Enhanced SOFM Method for Automatic Recognition and Identification of Digital Modulations," Electronic Design, Test and Applications, IEEE International Workshop on, pp. 174, Second IEEE International Workshop on Electronic Design, Test and Applications, 2004.
 
 
BibTex
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@article{ 10.1109/DELTA.2004.10037,
author = {Xiaoyong Yang},
title = {An Enhanced SOFM Method for Automatic Recognition and Identification of Digital Modulations},
journal ={Electronic Design, Test and Applications, IEEE International Workshop on},
volume = {0},
year = {2004},
isbn = {0-7695-2081-2},
pages = {174},
doi = {http://doi.ieeecomputersociety.org/10.1109/DELTA.2004.10037},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Electronic Design, Test and Applications, IEEE International Workshop on
TI - An Enhanced SOFM Method for Automatic Recognition and Identification of Digital Modulations
SN - 0-7695-2081-2
SP
EP
A1 - Xiaoyong Yang,
PY - 2004
KW - null
VL - 0
JA - Electronic Design, Test and Applications, IEEE International Workshop on
ER -
 
Xiaoyong Yang, Agilent Technologies Singapore Pte. Ltd.
This paper enhances the author's previous work with adding memory and other methods to SOFM recognition system to speed up the process and improve the accuracy of the automatically recognition. The focus of this research is the various M-ary QAM and PSK modulated signal formats subjected to data contamination by noise and fading. Distinguish from other studies, the complexity of nonlinear channel situations and certain critical use cases have been considered in the estimation of the unknown constellation. Successful recognition results have been achieved with low SNR for BPSK, QPSK, PSK-16 and QAM-16, and modest SNR from 10 to 20dB for higher-level QAM schemes up to QAM-256.
Citation:
Xiaoyong Yang, "An Enhanced SOFM Method for Automatic Recognition and Identification of Digital Modulations," delta, pp.174, Second IEEE International Workshop on Electronic Design, Test and Applications, 2004
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