基于相关系数的两级盲频谱感知算法

Two level blind spectrum sensing algorithm based on correlation coefficient

针对盲频谱感知检测概率低下的问题,提出一种多天线系统基于相关系数的两级感知算法。首先,通过多天线系统获得采样协方差矩阵获得相关系数;其次,用最大和最小相关系数作第一级检测的两个检验统计量;最后,对双门限之间的部分重新构造新的检验统计量进行第二级检测。蒙特卡罗仿真的结果表明,在采样次数较少的情况下,尤其是在低信噪比条件下,随着用户的增加,检测性能更优,与传统的双门限检测算法相比,不需要增加采样次数,节省运算成本。

Aiming at the problem of low probability of blind spectrum sensing detection,a two level spectrum sensing algorithm based on correlation coefficient for multi-antenna system is proposed.Firstly,the correlation coefficient is obtained by sampling the covariance matrix of multi-antenna system.Secondly,take the maximum and minimum correlation coefficients as the first detection statistics.Finally,make the seconde detection by reconstructing the new test statistics between the threshold.Monte Carlo simulation shows that in the case of few sampling times,especially in low signal to noise ratio(SNR)conditions,with the increase of the number of users,the detection performance is better.Compared with the traditional double threshold detection,the algorithm does not need to increase the number of sampling time and it saves operation cost.