Cyclostationary approaches to signal detection and classification in cognitive radio

2007 2nd IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks

Volumn , Issue , 2007, Pages 212-215

  Kim, Kyouwoong ^a   Akbar, Ihsan A ^a   Bae, Kyung K ^a   Um, Jung Sun ^b   Spooner, Chad M ^c   Reed, Jeffrey H ^a  

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

^b Electronics and Telecommunications Research Institute (ETRI)   (South Korea)

^c NORTHWEST RESEARCH ASSOCIATES   (United States)

Author keywords

Cognitive radio; Cyclostationarity; HMMs; Signal classification

Indexed keywords

COGNITIVE SYSTEMS; PARAMETER ESTIMATION; PATTERN MATCHING; RADIO COMMUNICATION; SIGNAL ANALYSIS; SIGNAL TO NOISE RATIO;

COGNITIVE RADIO; COGNITIVE RADIO (CR) DESIGN; CYCLOSTATIONARITY; SIGNAL CLASSIFICATION;

SIGNAL DETECTION;

EID: 34548768338     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DYSPAN.2007.35     Document Type: Conference Paper

References (13)

1. M. A. McHenry, "NSF Spectrum Occupancy Measurements Projects Summary," Shared Spectrum Company Report, Aug. 2005.
2. FCC 03-322, "NPRM - Facilitating Opportunities for Flexible, Efficient, and Reliable Spectrum Use Employing Cognitive Radio Technologies," FCC, Dec. 2003.
3. W. A. Gardner, Introduction to Random Process with Applications to Signals and Systems, MacMillan, 1986.
4. W. A. Gardner, Statistical Spectral Analysis A Nonprobabilistic Theory, Prentice Hall, 1988.
5. R. S. Roberts, "Computationally Efficient Algorithms for Cyclic Spectral Analysis," IEEE Signal Processing Magazine, Apr. 1991.
6. W. M. Gardner, "Measurement of Spectral Correlation," IEEE Transaction on Acoustics, Speech, and Signal Processing, vol. ASSP-34, No. 5, Oct. 1986
7. A. Fehske, J. Gaeddert and J. H. Reed, "A New Approach to Signal Classification Using Spectral Correlation and Neural Networks," IEEE International Symposium on New Frontiers in DySpan, Nov. 2005.
8. W. M. Gardner and C. M. Spooner, "Signal Interception: Performance Advantages of Cycle-Feature Detectors," IEEE Transactions on Communications, vol. 40, no.1, Jan. 1992.
9. Y. Ephraim and N. Merhav, "Hidden Markov Processes," IEEE Transactions on Information Theory, vol. 48, no. 6, July 2002.
10. L. R. Rabiner and B. H. Juang, "An introduction to Hidden Markov Models," IEEE ASSP Magazine, January 1986.
11. S. M. Ross, Introduction to Probability Models, Academic Press, Inc., 1993.
12. L. Rabiner and B. H. Jaung, Fundamentals of Speech Recognition, Prentice Hall, Englewood Cliffs, New Jersey, 1993.
13. W. Turin, Digital Transmission Systems: Performance Analysis and Modeling, McGraw-Hill, 1998.