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...

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Bibliographic Details
Published inIEEE transactions on communications Vol. 48; no. 3; pp. 416 - 429
Main Authors Swami, A., Sadler, B.M.
Format Journal Article
LanguageEnglish
Published New York IEEE 01.03.2000
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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
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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.
Bibliography:ObjectType-Article-2
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ISSN:0090-6778
1558-0857
DOI:10.1109/26.837045