Optimal spectral feature detection for spectrum sensing at very low SNR

IEEE Transactions on Communications

Volumn 59, Issue 1, 2011, Pages 201-212

  Quan, Zhi ^a   Zhang, Wenyi ^a,b   Shellhammer, Stephen J ^a   Sayed, Ali H ^c  

^a QUALCOMM INC   (United States)

^b UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

^c University of California   (United States)

Author keywords

cognitive radio; feature detection; hypothesis testing; optimization; Spectrum sensing

Indexed keywords

ASYMPTOTICALLY OPTIMAL; COGNITIVE RADIO; DIGITAL TV; FEATURE DETECTION; HYPOTHESIS TESTING; LIKELIHOOD RATIO TESTS; LOW SIGNAL-TO-NOISE RATIO; NEYMAN - PEARSON CRITERION; OPTIMIZATION ANALYSIS; PERIODOGRAMS; RECEIVED SIGNALS; SENSING TECHNIQUES; SIMULATION RESULT; SPECTRAL CORRELATION; SPECTRAL FEATURE; SPECTRUM SENSING; SYSTEM DESIGN; VERY LOW SNR; WHITE SPACE;

ASYMPTOTIC ANALYSIS; COGNITIVE SYSTEMS; COMPUTATIONAL COMPLEXITY; DIGITAL TELEVISION; OPTIMIZATION; RADIO; RADIO SYSTEMS; SATELLITE COMMUNICATION SYSTEMS; SENSORS; SIGNAL TO NOISE RATIO; SYSTEMS ANALYSIS; TELEVISION BROADCASTING;

SIGNAL DETECTION;

EID: 79551684680     PISSN: 00906778     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCOMM.2010.112310.090306     Document Type: Article

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