基于统计协方差矩阵的多信道频谱检测算法  

Multi-channel Spectrum Sensing Algorithm Based on Statistical Covariance Matrix

作　　者：仇帅[1] 陈西宏[1] 刘晓鹏[1] 张群[2] 

机构地区：[1]空军工程大学防空反导学院,陕西西安710051 [2]空军工程大学信息与导航学院,陕西西安710077

出　　处：《探测与控制学报》2013年第5期17-21,共5页Journal of Detection & Control

基　　金：国家自然科学基金项目资助(60971100)

摘　　要：频谱检测是认知无线电的核心技术,也是认知跳频系统得以实现的前提。针对传统检测算法只针对单一信道的缺陷,提出了一种基于统计协方差矩阵的多信道频谱检测算法。该算法首先在发射端发送信号之前,对系统的多个信道同时进行检测,对检测信号采样后计算其采样协方差矩阵,然后求出统计协方差矩阵,接着设定判决门限,最后将统计协方差矩阵的对角元素作为判决量,判断干扰的存在。理论分析及仿真结果表明,改进算法不仅可以同时实现多个信道的频谱检测,而且可以检测出干扰频点范围,从而避开干扰信道,有效地提高了系统的抗干扰能力。Spectrum sensing is not only the key technology to cognitive radio, but also the basis of cognitive ra- dio frequency hopping system. A novel multi-channel spectrum sensing algorithm based on statistical covariance matrix was proposed in this paper to solve the problem that the traditional sensing methods could not be used to multi-channel sensing. The algorithm detected the multi-channel before sending signals, and counted the sample covariance matrix after sampling. Then obtains the statistical covariance matrix before deciding the thresholds, At last, exploits the diagonal elements of statistical covariance matrix to decide whether the interference signal was present or not. Theory analysis and simulation results showed that, the proposed method could not only im- plement the multi-channel spectrum sensing at the same time, but also found the interference positions so as to avoid them, and improve the anti-jamming capability.

关 键 词：频谱检测 认知跳频系统 统计协方差矩阵 多信道 

分 类 号：TN92[电子电信—通信与信息系统]