Signal classification in fading channels using cyclic spectral analysis

Eurasip Journal on Wireless Communications and Networking

Volumn 2009, Issue , 2009, Pages

  Wu, Zhiqiang ^d   Like, Eric ^a   Chakravarthy, Vasu D ^b   Ratazzi, Paul ^c  

^a AIR FORCE INSTITUTE OF TECHNOLOGY   (United States)

^b AIR FORCE RESEARCH LABORATORY   (United States)

^c USAF   (United States)

^d Wright State University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

APRIORI; CARRIER FREQUENCY; CARRIER PHASE; CLASSIFICATION DECISION; COGNITIVE RADIO; COMBINING SCHEMES; CYCLOSTATIONARY; DYNAMIC SPECTRUM ACCESS; LOW SIGNAL-TO-NOISE RATIO; MULTI-ANTENNA; MULTISTAGE APPROACH; NUMBER OF SAMPLES; SIGNAL CLASSIFICATION; SIGNAL STATISTICS; SPATIAL DIVERSITY; SPECTRAL ANALYSIS; SPECTRUM EFFICIENCY; SYMBOL RATES;

COGNITIVE SYSTEMS; COMMUNICATION SYSTEMS; HIERARCHICAL SYSTEMS; MULTIPATH FADING; SIGNAL TO NOISE RATIO; SPECTROSCOPY; SPECTRUM ANALYSIS; SPECTRUM ANALYZERS; WIRELESS TELECOMMUNICATION SYSTEMS;

FADING (RADIO);

EID: 70449381030     PISSN: 16871472     EISSN: 16871499     Source Type: Journal    
DOI: 10.1155/2009/879812     Document Type: Article

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