AM-SIGNAL DETECTION IN COGNITIVE RADIOS USING FIRST-ORDER CYCLOSTATIONARITY Conference Paper

abstract

• Cognitive radio is regarded as a novel approach for improving the utilization of precious radio spectrum resource. The detection of very low signal-to-noise ratio (SNR) signals with relaxed a priori information on the signal parameters is of high importance to such radios. This paper proposes a detection algorithm based on the first-order cyclostationarity for amplitude modulated (AM) signals that only requires rough information on the signal bandwidth and carrier frequency. A theoretical asymptotic analysis is performed. Simulation results show that the proposed algorithm performs well at low SNRs. 2010 IEEE.

name of conference

• 2010 IEEE International Conference on Acoustics, Speech and Signal Processing

authors

• Qaraqe, Khalid
• Serpedin, Erchin

published proceedings

• 2010 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING

author list (cited authors)

• Zhou, Y. i., Qaraqe, K., Serpedin, E., & Dobre, O. A.

citation count

• 5

complete list of authors

• Zhou, Yi||Qaraqe, Khalid||Serpedin, Erchin||Dobre, Octavia A

publication date

• January 2010

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing / sponsored by the Institute of Electrical and Electronics Engineers Signal Processing Society. ICASSP (Conference)  Journal

keywords

• Amplitude Modulation
• Cognitive Radio
• Cyclostationarity
• Signal Detection

Digital Object Identifier (DOI)

• 10.1109/ICASSP.2010.5496087

International Standard Book Number (ISBN) 13

• 9781424442966

start page

• 3106

end page

• 3109

URL

• http://dx.doi.org/10.1109/icassp.2010.5496087