On the second-order cyclostationarity for joint signal detection and classification in cognitive radio systems

—Spectrum awareness is a crucial first step of a cognitive radio (CR). This provides information necessary for the CR to adapt to the radio frequency environment, and involves reliable joint signal detection and classification at low signal-to-noise ratios (SNRs), with relaxed a priori information on signal parameters. This paper proposes a joint detection and classification algorithm for single-carrier linearly digitally modulated (SCLD), cyclically prefixed SCLD (CP-SCLD), and orthogonal frequency division multiplexing (OFDM) signals, with the advantage that it does not require estimation of signal and noise powers, symbol timing, and carrier and waveform recovery.

• Type: Conference
• Year: 2009
• Where: CCECE
• Authors: Qiyun Zhang, Octavia A. Dobre, Sreeraman Rajan, Robert J. Inkol
• Keywords: CCECE 2009, Electrical And Computer Engineering, Joint Signal Detection, Orthogonal Frequency Division Multiplexing, Radio Frequency Environment