Spectrum sensing algorithms via finite random matrices

IEEE Transactions on Communications

Volumn 60, Issue 1, 2012, Pages 164-175

  Zhang, Wensheng ^a   Abreu, Giuseppe ^b   Inamori, Mamiko ^a   Sanada, Yukitoshi ^a  

^a KEIO UNIVERSITY   (Japan)

^b JACOBS UNIVERSITY BREMEN   (Germany)

Author keywords

Cognitive radio; Hypothesis test; Random matrix; Spectrum sensing; Standard condition number

Indexed keywords

ANALYTICAL EXPRESSIONS; CLOSED FORM; CUMULATIVE DENSITY FUNCTIONS; EIGENVALUES; EXTREME EIGENVALUES; FINITE NUMBER; FINITE SIZE; HYPOTHESIS TESTS; LOWER COMPLEXITY; MISS DETECTION; NEW RESULTS; POPULATION MODEL; PROBABILITY OF DETECTION; PROBABILITY OF FALSE ALARM; RANDOM MATRICES; RANDOM MATRIX; RECEIVER OPERATING CHARACTERISTICS; SEMI-CORRELATED; SPECTRUM SENSING; STANDARD CONDITION NUMBER; STANDARD CONDITIONS; WISHART MATRICES;

COGNITIVE RADIO; EIGENVALUES AND EIGENFUNCTIONS; LEARNING ALGORITHMS; MATHEMATICAL MODELS; NUMBER THEORY; PROBABILITY; RADIO; STATISTICAL TESTS;

SIGNAL DETECTION;

EID: 84857366909     PISSN: 00906778     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCOMM.2011.112311.100721     Document Type: Article

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