基于谱相关函数的高效合作频谱检测

High efficiency cooperative spectrum detection based on spectral correlation function

传统的基于谱相关函数的合作频谱检测方法在低信噪比的情况下具有较好的检测性能,但是计算复杂度高,实际应用较困难。提出一种高效的合作频谱检测方法,采用认知用户对接收信号进行单循环频率的谱相关函数检测方法。采用离散频率平滑方法估计谱相关函数,将谱相关函数的幅度作为检测统计量。为了进一步提高检测性能,融合中心采用OR准则对所有认知用户的本地判决结果进行融合。仿真结果表明:在具有相近的检测性能的同时大大降低了计算复杂度。

Conventional cooperative spectrum detection method based on spectral correlation function has good detection performance in the case of low signal to noise ratio, but high computational complexity. It is difficuh to use in practical application. A high efficiency cooperative spectrum detection method is proposed. Each cognitive user detects spectral correlation function of the received signal in single cycle frequency. The discrete-frequency smoothing method is used to estimate spectral correlation function and the amplitude of spectral correlation function is used as the test statistic quantity. In order to improve the detection performance, the fusion center uses OR criteria to fuse local decisions of all the cognitive users. The simulation results show that the method has the similar detection performance and greatly reduce the computational complexity.