Likelihood ratio tests for modulation classification

Author

Panagiotou, Prokopios ; Anastasopoulos, Achilleas ; Polydoros, Andreas

Author_Institution

Stochastix Inc., Burbank, CA, USA

Volume

2

fYear

2000

fDate

2000

Firstpage

670

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;

fLanguage

English

Publisher

ieee

Conference_Titel

MILCOM 2000. 21st Century Military Communications Conference Proceedings

Conference_Location

Los Angeles, CA

Print_ISBN

0-7803-6521-6

Type

conf

DOI

10.1109/MILCOM.2000.904013

Filename

904013