Likelihood-ratio approaches to automatic modulation classification

IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews

Volumn 41, Issue 4, 2011, Pages 455-469

  Xu, Jefferson L ^a   Su, Wei ^b   Zhou, Mengchu ^a  

^a NEW JERSEY INSTITUTE OF TECHNOLOGY   (United States)

^b US Army Communications and Electronics Command   (United States)

Author keywords

Cognitive radio; likelihood ratio test (LRT); maximum likelihood (ML); modulation classification; modulation recognition; software defined radio (SDR); wireless communication systems

Indexed keywords

COGNITIVE RADIO; LIKELIHOOD RATIO TESTS; MODULATION CLASSIFICATION; MODULATION RECOGNITION; SOFTWARE-DEFINED RADIOS; WIRELESS COMMUNICATION SYSTEMS;

AMPLITUDE MODULATION; COMMUNICATION SYSTEMS; GLOBAL SYSTEM FOR MOBILE COMMUNICATIONS; MILITARY APPLICATIONS; RADIO RECEIVERS; WIRELESS TELECOMMUNICATION SYSTEMS;

ADAPTIVE MODULATION;

EID: 79959611059     PISSN: 10946977     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCC.2010.2076347     Document Type: Review

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