Cyclo-stationary detection of the Spectrum holes under blind parameters in cognitive radio

Abstract

While real-time monitoring the primary users' channel in cognitive radio, most secondary users can't obtain the signal parameters, as for primary user's information security and their own aspirations. In this paper, we proposed to estimate primary user signal parameters by the highest spectral correlation function at the non-zero frequency without any knowledge about primary signal, making use of the cyclo-stationary properties of the primary users. Based on the estimated parameters, we constructed a new decision threshold under the largest SNR in the detect channel. Finally, we compared the performance between our method and conventional energy detection method, and analysis the relationship between sampling points and the performance by simulation. The results verified that the performance of single cyclo-stationary users is equal to the energy detection with multi-users.