Novel automatic modulation classification using cumulant features for communications via multipath channels

IEEE Transactions on Wireless Communications

Volumn 7, Issue 8, 2008, Pages 3098-3105

  Wu, Hsiao Chun ^a,b   Saquib, Mohammad ^a,c   Yun, Zhifeng ^b  

^a IEEE

^b LOUISIANA STATE UNIVERSITY   (United States)

^c The University of Texas at Dallas   (United States)

Author keywords

Automatic modulation classification; Cognitive radio; Cramer Rao lower bound

Indexed keywords

A-PRIORI; ADDITIVE WHITE GAUSSIAN NOISE CHANNEL; AUTOMATIC MODULATION; AUTOMATIC MODULATION CLASSIFICATION; BLIND CHANNEL ESTIMATION; CHANNEL INFORMATION; CLASSIFICATION ACCURACIES; CLASSIFICATION ERRORS; COGNITIVE RADIO; COMMUNICATION APPLICATIONS; CRAMER-RAO LOWER BOUND; CRAMER-RAO LOWER BOUNDS; CUMULANT; FOURTH-ORDER CUMULANT; GENERIC FRAMEWORKS; HIGHER-ORDER STATISTICS; MONTE CARLO SIMULATION; MULTI-PATH CHANNELS; MULTI-PATH FADING CHANNELS; NEGATIVE IMPACTS; NEW ALGORITHM; NOISE RATIOS; PERFORMANCE DEGRADATION; VARIANCE ESTIMATORS;

AMPLITUDE MODULATION; CHANNEL ESTIMATION; CLASSIFICATION (OF INFORMATION); CODES (SYMBOLS); CONTROL THEORY; CRAMER-RAO BOUNDS; ESTIMATION; FADING (RADIO); FEATURE EXTRACTION; FOOD ADDITIVES; GAUSSIAN NOISE (ELECTRONIC); MODULATION; MONTE CARLO METHODS; MULTIPATH FADING; MULTIPATH PROPAGATION; PATTERN RECOGNITION; SIGNAL TO NOISE RATIO; SULFATE MINERALS; SUPPORT VECTOR MACHINES; WHITE NOISE;

FADING CHANNELS;

EID: 50049126492     PISSN: 15361276     EISSN: None     Source Type: Journal    
DOI: 10.1109/TWC.2008.070015     Document Type: Article

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