Feature Detection Based on Multiple Cyclic Frequencies in Cognitive Radios
Liu Xiang-zhen, Zhai Xuping · 2008
Signal feature detection is one of spectrum sensing methods in cognitive radios. It can detect primary user reliably in low SNR regime. In this paper, an asymptotical chi2test is extended to spectrum sensing in cognitive radios, and a joint detection scheme based on multiple cyclic frequencies is proposed. Simulation results show the improved performance of the proposed scheme in the low SNR regime.