Title :
Likelihood ratio tests for modulation classification
Author :
Panagiotou, Prokopios ; Anastasopoulos, Achilleas ; Polydoros, Andreas
Author_Institution :
Stochastix Inc., Burbank, CA, USA
Abstract :
We discuss modulation classification (MC) algorithms that are based on the decision theoretic approach, where the MC problem is viewed as a multiple-hypothesis testing problem. In particular, a random-phase AWGN channel is considered and possible solutions to this hypothesis testing problem are reviewed. We present two novel algorithms and we compare their performance with existing ones for a variety of modulation pairs. Simulation results show that these new algorithms can offer a significant performance gain for classification of dense, non-constant envelope constellations
Keywords :
AWGN channels; decision theory; military communication; modulation; signal classification; ALRT-based algorithms; GLRT; HLRT; average likelihood ratio test; decision theory; dense envelope constellation; generalized likelihood ratio test; military communications; modulation classification algorithms; multiple-hypothesis testing; nonconstant envelope constellation; performance; random-phase AWGN channel; simulation results; Amplitude modulation; Classification algorithms; Data mining; Feature extraction; Pattern recognition; Performance gain; Phase modulation; Signal analysis; Surveillance; Testing;
Conference_Titel :
MILCOM 2000. 21st Century Military Communications Conference Proceedings
Conference_Location :
Los Angeles, CA
Print_ISBN :
0-7803-6521-6
DOI :
10.1109/MILCOM.2000.904013
