AM-signal detection in cognitive radios using first-order cyclostationarity Conference Paper uri icon

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

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.

publication date

  • January 1, 2010 11:11 AM

publisher