Cyclo-stationary Detection of the Spectrum Holes under Blind Parameters in Cognitive Radio
While real-time monitoring the primary users’ channel in cognitive radio, most secondary users can’t obtain the signal parameters, as for primary users 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.
Chengkai Tang Baowang Lian Lingling Zhang
School of Electronics and Information Northwestern Ploytechnical University, 710072 Xi’an, China
国际会议
The 2010 International Conference on Intelligent Systems and Knowledge Engineering(第五届智能系统与知识工程国际会议)
杭州
英文
85-88
2010-11-15（万方平台首次上网日期，不代表论文的发表时间）