摘要： 针对无线传感网络中的合作谱检测问题，提出一种基于时序马尔可夫链的分布式频谱检测算法。假定单节点对频谱的感知是一个马尔可夫过程，本地序列检测采用序列概率比测试进行频谱探测，得到本地序列检测值。各个感知节点将检测结果发送到数据融合中心，根据设定门限确定最终检测结果。通过Matlab仿真验证了该算法的时序检测性能。

关键词: 时序马尔可夫链, 分布式频谱检测, 无线传感器网络

Abstract: Aiming at the cooperation spectrum detection in Wireless Sensor Network(WSN), this paper presents a distributed spectrum detection based on sequential Markov chain. It assumes the detection of the single node is a Markov process, and the result value of local sequence detection is obtained by the Sequential Probability Ratio Test(SPRT). After the measurements result of each node’s own is sent to the data fusion center, the final results can be determined in line with the threshold. Matlab simulation validates the sequential detection performance.

Key words: sequential Markov chain, distributed spectrum detection, Wireless Sensor Network(WSN)

中图分类号: 

• TP393