Hierarchical digital modulation classification using cumulants

A simple method, based on elementary fourth-order cumulants, is proposed for the classification of digital modulation schemes. These statistics are natural in this setting as they characterize the shape of the distribution of the noisy baseband I and Q samples. It is shown that cumulant-based classi...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on communications 2000-03, Vol.48 (3), p.416-429
Main Authors: Swami, A., Sadler, B.M.
Format: Article
Language:English
Subjects:
Baseband
Classification
Computational complexity
Computational modeling
Digital
Digital modulation
Frequency
Modulation
Noise shaping
Robustness
Samples
Shape
Signal to noise ratio
Statistical analysis
Statistical distributions
Statistical methods
Statistics
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:A simple method, based on elementary fourth-order cumulants, is proposed for the classification of digital modulation schemes. These statistics are natural in this setting as they characterize the shape of the distribution of the noisy baseband I and Q samples. It is shown that cumulant-based classification is particularly effective when used in a hierarchical scheme, enabling separation into subclasses at low signal-to-noise ratio with small sample size. Thus, the method can be used as a preliminary classifier if desired. Computational complexity is order N, where N is the number of complex baseband data samples. This method is robust in the presence of carrier phase and frequency offsets and can be implemented recursively. Theoretical arguments are verified via extensive simulations and comparisons with existing approaches.
ISSN:0090-6778
1558-0857
DOI:10.1109/26.837045