A parallel computing based spectrum sensing approach for signal detection under conditions of low SNR and Rayleigh multipath fading

2008 IEEE Symposium on New Frontiers in Dynamic Spectrum Access Networks, DySPAN 2008

Volumn , Issue , 2008, Pages 36-45

  Ge, Feng ^a   Bostian, Charles W ^a  

^a VIRGINIA POLYTECHNIC INSTITUTE AND STATE UNIVERSITY   (United States)

Author keywords

Cyclostationary features; Dynamic spectrum access; Parallel computing; Signal detection

Indexed keywords

ACOUSTIC INTENSITY; CORRELATION METHODS; FREQUENCY DIVISION MULTIPLEXING; FUNCTIONS; MODULATION; MULTIPATH FADING; ORTHOGONAL FREQUENCY DIVISION MULTIPLEXING; PARALLEL PROCESSING SYSTEMS; PHASE SHIFT KEYING; QUADRATURE AMPLITUDE MODULATION; SIGNAL ANALYSIS; SIGNAL PROCESSING; SIGNAL TO NOISE RATIO; SPECTRUM ANALYSIS; TELECOMMUNICATION SYSTEMS; TIMING JITTER;

CELL BROADBAND ENGINES; COMPLEX CONVOLUTIONS; COMPUTATION REQUIREMENTS; COMPUTATIONAL COSTS; CYCLOSTATIONARY FEATURE DETECTIONS; CYCLOSTATIONARY FEATURES; CYCLOSTATIONARY SIGNALS; DYNAMIC SPECTRUM ACCESS; FEATURE ANALYSIS; IF FREQUENCIES; MODULATED SIGNALS; NUMERICAL RESULTS; ORTHOGONAL FREQUENCIES; PARALLEL COMPUTING; PHASE-SHIFT; PLAYSTATION; PRIMARY USERS; RAYLEIGH; SHIFT KEYING; SIGNAL BANDWIDTHS; SIMULATED SIGNALS; SPECTRAL CORRELATION FUNCTIONS; SPECTRUM SENSING; SPEED-UP; WIDE FREQUENCY RANGES;

SIGNAL DETECTION;

EID: 57849111379     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DYSPAN.2008.12     Document Type: Conference Paper

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