Title :
Advanced methods for digital quadrature and offset modulation classification
Author :
Hwang, C.Y. ; Polydoros, A.
Abstract :
The authors address the problem of constructing classifiers of digital quadrature and offset modulated signals by the likelihood approach and the Mth-law approach. In the first approach, they start from the likelihood functionals (LF) of such signals in additive white Gaussian noise and, based on these LFs, derive easily implementable classifiers. In the second approach, Mth-law classifiers are examined for classifying such signals. It is shown that certain versions of the LF classifier are closely related to the Mth-law classifier in terms of both implementation and performance, at least in the low signal-to-noise ratio regime
Keywords :
AWGN; Additive white noise; Digital modulation; Estimation theory; Frequency; Gaussian noise; Low-frequency noise; Quadrature amplitude modulation; Statistical analysis; Working environment noise;
Conference_Titel :
Military Communications Conference, 1991. MILCOM '91, Conference Record, Military Communications in a Changing World., IEEE
Conference_Location :
McLean, VA
Print_ISBN :
0-87942-691-8
DOI :
10.1109/MILCOM.1991.258379