Efficient Detection of FSK-signals Based on Cyclic Statistics Conference Paper

abstract

• Cognitive radios represent a powerful technology for improving the utilization of radio spectrum resources. Detection of low signal-to-noise ratio (SNR) signals with relaxed a priori information on the signal parameters is of high importance for cognitive radios. This paper proposes a detection algorithm based on the first-order cyclostationarity (or cyclic statistics) for frequency shift keying (FSK) signals that only requires partial knowledge on the signal bandwidth, carrier frequency and symbol rate. The results of both theoretical asymptotic analysis and computer simulations are presented. It is shown that the proposed algorithm performs well at low SNRs. 2010 IEEE.

name of conference

• 2010 8th International Conference on Communications

authors

• Qaraqe, Khalid
• Serpedin, Erchin

published proceedings

• PROCEEDINGS OF THE 2010 8TH INTERNATIONAL CONFERENCE ON COMMUNICATIONS (COMM)

author list (cited authors)

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

citation count

• 0

complete list of authors

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

publication date

• June 2010

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

keywords

• Cognitive Radio
• Cyclostationarity
• Frequency Shift Keying
• Signal Detection

Digital Object Identifier (DOI)

• 10.1109/iccomm.2010.5509111

start page

• 339

end page

• 342